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Computer Science Thesis Topics

This page provides a comprehensive list of computer science thesis topics , carefully curated to support students in identifying and selecting innovative and relevant areas for their academic research. Whether you are at the beginning of your research journey or are seeking a specific area to explore further, this guide aims to serve as an essential resource. With an expansive array of topics spread across various sub-disciplines of computer science, this list is designed to meet a diverse range of interests and academic needs. From the complexities of artificial intelligence to the intricate designs of web development, each category is equipped with 40 specific topics, offering a breadth of possibilities to inspire your next big thesis project. Explore our guide to find not only a topic that resonates with your academic ambitions but also one that has the potential to contribute significantly to the field of computer science.

1000 Computer Science Thesis Topics and Ideas

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Internet Of Things (IoT) Thesis Topics

Machine Learning Thesis Topics

Neural networks thesis topics, programming thesis topics, quantum computing thesis topics, robotics thesis topics, software engineering thesis topics, web development thesis topics.

Ethical Implications of AI in Decision-Making Processes
The Role of AI in Personalized Medicine: Opportunities and Challenges
Advances in AI-Driven Predictive Analytics in Retail
AI in Autonomous Vehicles: Safety, Regulation, and Technology Integration
Natural Language Processing: Improving Human-Machine Interaction
The Future of AI in Cybersecurity: Threats and Defenses
Machine Learning Algorithms for Real-Time Data Processing
AI and the Internet of Things: Transforming Smart Home Technology
The Impact of Deep Learning on Image Recognition Technologies
Reinforcement Learning: Applications in Robotics and Automation
AI in Finance: Algorithmic Trading and Risk Assessment
Bias and Fairness in AI: Addressing Socio-Technical Challenges
The Evolution of AI in Education: Customized Learning Experiences
AI for Environmental Conservation: Tracking and Predictive Analysis
The Role of Artificial Neural Networks in Weather Forecasting
AI in Agriculture: Predictive Analytics for Crop and Soil Management
Emotional Recognition AI: Implications for Mental Health Assessments
AI in Space Exploration: Autonomous Rovers and Mission Planning
Enhancing User Experience with AI in Video Games
AI-Powered Virtual Assistants: Trends, Effectiveness, and User Trust
The Integration of AI in Traditional Industries: Case Studies
Generative AI Models in Art and Creativity
AI in LegalTech: Document Analysis and Litigation Prediction
Healthcare Diagnostics: AI Applications in Radiology and Pathology
AI and Blockchain: Enhancing Security in Decentralized Systems
Ethics of AI in Surveillance: Privacy vs. Security
AI in E-commerce: Personalization Engines and Customer Behavior Analysis
The Future of AI in Telecommunications: Network Optimization and Service Delivery
AI in Manufacturing: Predictive Maintenance and Quality Control
Challenges of AI in Elderly Care: Ethical Considerations and Technological Solutions
The Role of AI in Public Safety and Emergency Response
AI for Content Creation: Impact on Media and Journalism
AI-Driven Algorithms for Efficient Energy Management
The Role of AI in Cultural Heritage Preservation
AI and the Future of Public Transport: Optimization and Management
Enhancing Sports Performance with AI-Based Analytics
AI in Human Resources: Automating Recruitment and Employee Management
Real-Time Translation AI: Breaking Language Barriers
AI in Mental Health: Tools for Monitoring and Therapy Assistance
The Future of AI Governance: Regulation and Standardization
AR in Medical Training and Surgery Simulation
The Impact of Augmented Reality in Retail: Enhancing Consumer Experience
Augmented Reality for Enhanced Navigation Systems
AR Applications in Maintenance and Repair in Industrial Settings
The Role of AR in Enhancing Online Education
Augmented Reality in Cultural Heritage: Interactive Visitor Experiences
Developing AR Tools for Improved Sports Coaching and Training
Privacy and Security Challenges in Augmented Reality Applications
The Future of AR in Advertising: Engagement and Measurement
User Interface Design for AR: Principles and Best Practices
AR in Automotive Industry: Enhancing Driving Experience and Safety
Augmented Reality for Emergency Response Training
AR and IoT: Converging Technologies for Smart Environments
Enhancing Physical Rehabilitation with AR Applications
The Role of AR in Enhancing Public Safety and Awareness
Augmented Reality in Fashion: Virtual Fitting and Personalized Shopping
AR for Environmental Education: Interactive and Immersive Learning
The Use of AR in Building and Architecture Planning
AR in the Entertainment Industry: Games and Live Events
Implementing AR in Museums and Art Galleries for Interactive Learning
Augmented Reality for Real Estate: Virtual Tours and Property Visualization
AR in Consumer Electronics: Integration in Smart Devices
The Development of AR Applications for Children’s Education
AR for Enhancing User Engagement in Social Media Platforms
The Application of AR in Field Service Management
Augmented Reality for Disaster Management and Risk Assessment
Challenges of Content Creation for Augmented Reality
Future Trends in AR Hardware: Wearables and Beyond
Legal and Ethical Considerations of Augmented Reality Technology
AR in Space Exploration: Tools for Simulation and Training
Interactive Shopping Experiences with AR: The Future of Retail
AR in Wildlife Conservation: Educational Tools and Awareness
The Impact of AR on the Publishing Industry: Interactive Books and Magazines
Augmented Reality and Its Role in Automotive Manufacturing
AR for Job Training: Bridging the Skill Gap in Various Industries
The Role of AR in Therapy: New Frontiers in Mental Health Treatment
The Future of Augmented Reality in Sports Broadcasting
AR as a Tool for Enhancing Public Art Installations
Augmented Reality in the Tourism Industry: Personalized Travel Experiences
The Use of AR in Security Training: Realistic and Safe Simulations
The Role of Big Data in Improving Healthcare Outcomes
Big Data and Its Impact on Consumer Behavior Analysis
Privacy Concerns in Big Data: Ethical and Legal Implications
The Application of Big Data in Predictive Maintenance for Manufacturing
Real-Time Big Data Processing: Tools and Techniques
Big Data in Financial Services: Fraud Detection and Risk Management
The Evolution of Big Data Technologies: From Hadoop to Spark
Big Data Visualization: Techniques for Effective Communication of Insights
The Integration of Big Data and Artificial Intelligence
Big Data in Smart Cities: Applications in Traffic Management and Energy Use
Enhancing Supply Chain Efficiency with Big Data Analytics
Big Data in Sports Analytics: Improving Team Performance and Fan Engagement
The Role of Big Data in Environmental Monitoring and Sustainability
Big Data and Social Media: Analyzing Sentiments and Trends
Scalability Challenges in Big Data Systems
The Future of Big Data in Retail: Personalization and Customer Experience
Big Data in Education: Customized Learning Paths and Student Performance Analysis
Privacy-Preserving Techniques in Big Data
Big Data in Public Health: Epidemiology and Disease Surveillance
The Impact of Big Data on Insurance: Tailored Policies and Pricing
Edge Computing in Big Data: Processing at the Source
Big Data and the Internet of Things: Generating Insights from IoT Data
Cloud-Based Big Data Analytics: Opportunities and Challenges
Big Data Governance: Policies, Standards, and Management
The Role of Big Data in Crisis Management and Response
Machine Learning with Big Data: Building Predictive Models
Big Data in Agriculture: Precision Farming and Yield Optimization
The Ethics of Big Data in Research: Consent and Anonymity
Cross-Domain Big Data Integration: Challenges and Solutions
Big Data and Cybersecurity: Threat Detection and Prevention Strategies
Real-Time Streaming Analytics in Big Data
Big Data in the Media Industry: Content Optimization and Viewer Insights
The Impact of GDPR on Big Data Practices
Quantum Computing and Big Data: Future Prospects
Big Data in E-Commerce: Optimizing Logistics and Inventory Management
Big Data Talent: Education and Skill Development for Data Scientists
The Role of Big Data in Political Campaigns and Voting Behavior Analysis
Big Data and Mental Health: Analyzing Patterns for Better Interventions
Big Data in Genomics and Personalized Medicine
The Future of Big Data in Autonomous Driving Technologies
The Role of Bioinformatics in Personalized Medicine
Next-Generation Sequencing Data Analysis: Challenges and Opportunities
Bioinformatics and the Study of Genetic Diseases
Computational Models for Understanding Protein Structure and Function
Bioinformatics in Drug Discovery and Development
The Impact of Big Data on Bioinformatics: Data Management and Analysis
Machine Learning Applications in Bioinformatics
Bioinformatics Approaches for Cancer Genomics
The Development of Bioinformatics Tools for Metagenomics Analysis
Ethical Considerations in Bioinformatics: Data Sharing and Privacy
The Role of Bioinformatics in Agricultural Biotechnology
Bioinformatics and Viral Evolution: Tracking Pathogens and Outbreaks
The Integration of Bioinformatics and Systems Biology
Bioinformatics in Neuroscience: Mapping the Brain
The Future of Bioinformatics in Non-Invasive Prenatal Testing
Bioinformatics and the Human Microbiome: Health Implications
The Application of Artificial Intelligence in Bioinformatics
Structural Bioinformatics: Computational Techniques for Molecular Modeling
Comparative Genomics: Insights into Evolution and Function
Bioinformatics in Immunology: Vaccine Design and Immune Response Analysis
High-Performance Computing in Bioinformatics
The Challenge of Proteomics in Bioinformatics
RNA-Seq Data Analysis and Interpretation
Cloud Computing Solutions for Bioinformatics Data
Computational Epigenetics: DNA Methylation and Histone Modification Analysis
Bioinformatics in Ecology: Biodiversity and Conservation Genetics
The Role of Bioinformatics in Forensic Analysis
Mobile Apps and Tools for Bioinformatics Research
Bioinformatics and Public Health: Epidemiological Studies
The Use of Bioinformatics in Clinical Diagnostics
Genetic Algorithms in Bioinformatics
Bioinformatics for Aging Research: Understanding the Mechanisms of Aging
Data Visualization Techniques in Bioinformatics
Bioinformatics and the Development of Therapeutic Antibodies
The Role of Bioinformatics in Stem Cell Research
Bioinformatics and Cardiovascular Diseases: Genomic Insights
The Impact of Machine Learning on Functional Genomics in Bioinformatics
Bioinformatics in Dental Research: Genetic Links to Oral Diseases
The Future of CRISPR Technology and Bioinformatics
Bioinformatics and Nutrition: Genomic Insights into Diet and Health
Blockchain for Enhancing Cybersecurity in Various Industries
The Impact of Blockchain on Supply Chain Transparency
Blockchain in Healthcare: Patient Data Management and Security
The Application of Blockchain in Voting Systems
Blockchain and Smart Contracts: Legal Implications and Applications
Cryptocurrencies: Market Trends and the Future of Digital Finance
Blockchain in Real Estate: Improving Property and Land Registration
The Role of Blockchain in Managing Digital Identities
Blockchain for Intellectual Property Management
Energy Sector Innovations: Blockchain for Renewable Energy Distribution
Blockchain and the Future of Public Sector Operations
The Impact of Blockchain on Cross-Border Payments
Blockchain for Non-Fungible Tokens (NFTs): Applications in Art and Media
Privacy Issues in Blockchain Applications
Blockchain in the Automotive Industry: Supply Chain and Beyond
Decentralized Finance (DeFi): Opportunities and Challenges
The Role of Blockchain in Combating Counterfeiting and Fraud
Blockchain for Sustainable Environmental Practices
The Integration of Artificial Intelligence with Blockchain
Blockchain Education: Curriculum Development and Training Needs
Blockchain in the Music Industry: Rights Management and Revenue Distribution
The Challenges of Blockchain Scalability and Performance Optimization
The Future of Blockchain in the Telecommunications Industry
Blockchain and Consumer Data Privacy: A New Paradigm
Blockchain for Disaster Recovery and Business Continuity
Blockchain in the Charity and Non-Profit Sectors
Quantum Resistance in Blockchain: Preparing for the Quantum Era
Blockchain and Its Impact on Traditional Banking and Financial Institutions
Legal and Regulatory Challenges Facing Blockchain Technology
Blockchain for Improved Logistics and Freight Management
The Role of Blockchain in the Evolution of the Internet of Things (IoT)
Blockchain and the Future of Gaming: Transparency and Fair Play
Blockchain for Academic Credentials Verification
The Application of Blockchain in the Insurance Industry
Blockchain and the Future of Content Creation and Distribution
Blockchain for Enhancing Data Integrity in Scientific Research
The Impact of Blockchain on Human Resources: Employee Verification and Salary Payments
Blockchain and the Future of Retail: Customer Loyalty Programs and Inventory Management
Blockchain and Industrial Automation: Trust and Efficiency
Blockchain for Digital Marketing: Transparency and Consumer Engagement
Multi-Cloud Strategies: Optimization and Security Challenges
Advances in Cloud Computing Architectures for Scalable Applications
Edge Computing: Extending the Reach of Cloud Services
Cloud Security: Novel Approaches to Data Encryption and Threat Mitigation
The Impact of Serverless Computing on Software Development Lifecycle
Cloud Computing and Sustainability: Energy-Efficient Data Centers
Cloud Service Models: Comparative Analysis of IaaS, PaaS, and SaaS
Cloud Migration Strategies: Best Practices and Common Pitfalls
The Role of Cloud Computing in Big Data Analytics
Implementing AI and Machine Learning Workloads on Cloud Platforms
Hybrid Cloud Environments: Management Tools and Techniques
Cloud Computing in Healthcare: Compliance, Security, and Use Cases
Cost-Effective Cloud Solutions for Small and Medium Enterprises (SMEs)
The Evolution of Cloud Storage Solutions: Trends and Technologies
Cloud-Based Disaster Recovery Solutions: Design and Reliability
Blockchain in Cloud Services: Enhancing Transparency and Trust
Cloud Networking: Managing Connectivity and Traffic in Cloud Environments
Cloud Governance: Managing Compliance and Operational Risks
The Future of Cloud Computing: Quantum Computing Integration
Performance Benchmarking of Cloud Services Across Different Providers
Privacy Preservation in Cloud Environments
Cloud Computing in Education: Virtual Classrooms and Learning Management Systems
Automation in Cloud Deployments: Tools and Strategies
Cloud Auditing and Monitoring Techniques
Mobile Cloud Computing: Challenges and Future Trends
The Role of Cloud Computing in Digital Media Production and Distribution
Security Risks in Multi-Tenancy Cloud Environments
Cloud Computing for Scientific Research: Enabling Complex Simulations
The Impact of 5G on Cloud Computing Services
Federated Clouds: Building Collaborative Cloud Environments
Managing Software Dependencies in Cloud Applications
The Economics of Cloud Computing: Cost Models and Pricing Strategies
Cloud Computing in Government: Security Protocols and Citizen Services
Cloud Access Security Brokers (CASBs): Security Enforcement Points
DevOps in the Cloud: Strategies for Continuous Integration and Deployment
Predictive Analytics in Cloud Computing
The Role of Cloud Computing in IoT Deployment
Implementing Robust Cybersecurity Measures in Cloud Architecture
Cloud Computing in the Financial Sector: Handling Sensitive Data
Future Trends in Cloud Computing: The Role of AI in Cloud Optimization
Advances in Microprocessor Design and Architecture
FPGA-Based Design: Innovations and Applications
The Role of Embedded Systems in Consumer Electronics
Quantum Computing: Hardware Development and Challenges
High-Performance Computing (HPC) and Parallel Processing
Design and Analysis of Computer Networks
Cyber-Physical Systems: Design, Analysis, and Security
The Impact of Nanotechnology on Computer Hardware
Wireless Sensor Networks: Design and Optimization
Cryptographic Hardware: Implementations and Security Evaluations
Machine Learning Techniques for Hardware Optimization
Hardware for Artificial Intelligence: GPUs vs. TPUs
Energy-Efficient Hardware Designs for Sustainable Computing
Security Aspects of Mobile and Ubiquitous Computing
Advanced Algorithms for Computer-Aided Design (CAD) of VLSI
Signal Processing in Communication Systems
The Development of Wearable Computing Devices
Computer Hardware Testing: Techniques and Tools
The Role of Hardware in Network Security
The Evolution of Interface Designs in Consumer Electronics
Biometric Systems: Hardware and Software Integration
The Integration of IoT Devices in Smart Environments
Electronic Design Automation (EDA) Tools and Methodologies
Robotics: Hardware Design and Control Systems
Hardware Accelerators for Deep Learning Applications
Developments in Non-Volatile Memory Technologies
The Future of Computer Hardware in the Era of Quantum Computing
Hardware Solutions for Data Storage and Retrieval
Power Management Techniques in Embedded Systems
Challenges in Designing Multi-Core Processors
System on Chip (SoC) Design Trends and Challenges
The Role of Computer Engineering in Aerospace Technology
Real-Time Systems: Design and Implementation Challenges
Hardware Support for Virtualization Technology
Advances in Computer Graphics Hardware
The Impact of 5G Technology on Mobile Computing Hardware
Environmental Impact Assessment of Computer Hardware Production
Security Vulnerabilities in Modern Microprocessors
Computer Hardware Innovations in the Automotive Industry
The Role of Computer Engineering in Medical Device Technology
Deep Learning Approaches to Object Recognition
Real-Time Image Processing for Autonomous Vehicles
Computer Vision in Robotic Surgery: Techniques and Challenges
Facial Recognition Technology: Innovations and Privacy Concerns
Machine Vision in Industrial Automation and Quality Control
3D Reconstruction Techniques in Computer Vision
Enhancing Sports Analytics with Computer Vision
Augmented Reality: Integrating Computer Vision for Immersive Experiences
Computer Vision for Environmental Monitoring
Thermal Imaging and Its Applications in Computer Vision
Computer Vision in Retail: Customer Behavior and Store Layout Optimization
Motion Detection and Tracking in Security Systems
The Role of Computer Vision in Content Moderation on Social Media
Gesture Recognition: Methods and Applications
Computer Vision in Agriculture: Pest Detection and Crop Analysis
Advances in Medical Imaging: Machine Learning and Computer Vision
Scene Understanding and Contextual Inference in Images
The Development of Vision-Based Autonomous Drones
Optical Character Recognition (OCR): Latest Techniques and Applications
The Impact of Computer Vision on Virtual Reality Experiences
Biometrics: Enhancing Security Systems with Computer Vision
Computer Vision for Wildlife Conservation: Species Recognition and Behavior Analysis
Underwater Image Processing: Challenges and Techniques
Video Surveillance: The Evolution of Algorithmic Approaches
Advanced Driver-Assistance Systems (ADAS): Leveraging Computer Vision
Computational Photography: Enhancing Image Capture Techniques
The Integration of AI in Computer Vision: Ethical and Technical Considerations
Computer Vision in the Gaming Industry: From Design to Interaction
The Future of Computer Vision in Smart Cities
Pattern Recognition in Historical Document Analysis
The Role of Computer Vision in the Manufacturing of Customized Products
Enhancing Accessibility with Computer Vision: Tools for the Visually Impaired
The Use of Computer Vision in Behavioral Research
Predictive Analytics with Computer Vision in Sports
Image Synthesis with Generative Adversarial Networks (GANs)
The Use of Computer Vision in Remote Sensing
Real-Time Video Analytics for Public Safety
The Role of Computer Vision in Telemedicine
Computer Vision and the Internet of Things (IoT): A Synergistic Approach
Future Trends in Computer Vision: Quantum Computing and Beyond
Advances in Cryptography: Post-Quantum Cryptosystems
Artificial Intelligence in Cybersecurity: Threat Detection and Response
Blockchain for Enhanced Security in Distributed Networks
The Impact of IoT on Cybersecurity: Vulnerabilities and Solutions
Cybersecurity in Cloud Computing: Best Practices and Tools
Ethical Hacking: Techniques and Ethical Implications
The Role of Human Factors in Cybersecurity Breaches
Privacy-preserving Technologies in an Age of Surveillance
The Evolution of Ransomware Attacks and Defense Strategies
Secure Software Development: Integrating Security in DevOps (DevSecOps)
Cybersecurity in Critical Infrastructure: Challenges and Innovations
The Future of Biometric Security Systems
Cyber Warfare: State-sponsored Attacks and Defense Mechanisms
The Role of Cybersecurity in Protecting Digital Identities
Social Engineering Attacks: Prevention and Countermeasures
Mobile Security: Protecting Against Malware and Exploits
Wireless Network Security: Protocols and Practices
Data Breaches: Analysis, Consequences, and Mitigation
The Ethics of Cybersecurity: Balancing Privacy and Security
Regulatory Compliance and Cybersecurity: GDPR and Beyond
The Impact of 5G Technology on Cybersecurity
The Role of Machine Learning in Cyber Threat Intelligence
Cybersecurity in Automotive Systems: Challenges in a Connected Environment
The Use of Virtual Reality for Cybersecurity Training and Simulation
Advanced Persistent Threats (APT): Detection and Response
Cybersecurity for Smart Cities: Challenges and Solutions
Deep Learning Applications in Malware Detection
The Role of Cybersecurity in Healthcare: Protecting Patient Data
Supply Chain Cybersecurity: Identifying Risks and Solutions
Endpoint Security: Trends, Challenges, and Future Directions
Forensic Techniques in Cybersecurity: Tracking and Analyzing Cyber Crimes
The Influence of International Law on Cyber Operations
Protecting Financial Institutions from Cyber Frauds and Attacks
Quantum Computing and Its Implications for Cybersecurity
Cybersecurity and Remote Work: Emerging Threats and Strategies
IoT Security in Industrial Applications
Cyber Insurance: Risk Assessment and Management
Security Challenges in Edge Computing Environments
Anomaly Detection in Network Security Using AI Techniques
Securing the Software Supply Chain in Application Development
Big Data Analytics: Techniques and Applications in Real-time
Machine Learning Algorithms for Predictive Analytics
Data Science in Healthcare: Improving Patient Outcomes with Predictive Models
The Role of Data Science in Financial Market Predictions
Natural Language Processing: Emerging Trends and Applications
Data Visualization Tools and Techniques for Enhanced Business Intelligence
Ethics in Data Science: Privacy, Fairness, and Transparency
The Use of Data Science in Environmental Science for Sustainability Studies
The Impact of Data Science on Social Media Marketing Strategies
Data Mining Techniques for Detecting Patterns in Large Datasets
AI and Data Science: Synergies and Future Prospects
Reinforcement Learning: Applications and Challenges in Data Science
The Role of Data Science in E-commerce Personalization
Predictive Maintenance in Manufacturing Through Data Science
The Evolution of Recommendation Systems in Streaming Services
Real-time Data Processing with Stream Analytics
Deep Learning for Image and Video Analysis
Data Governance in Big Data Analytics
Text Analytics and Sentiment Analysis for Customer Feedback
Fraud Detection in Banking and Insurance Using Data Science
The Integration of IoT Data in Data Science Models
The Future of Data Science in Quantum Computing
Data Science for Public Health: Epidemic Outbreak Prediction
Sports Analytics: Performance Improvement and Injury Prevention
Data Science in Retail: Inventory Management and Customer Journey Analysis
Data Science in Smart Cities: Traffic and Urban Planning
The Use of Blockchain in Data Security and Integrity
Geospatial Analysis for Environmental Monitoring
Time Series Analysis in Economic Forecasting
Data Science in Education: Analyzing Trends and Student Performance
Predictive Policing: Data Science in Law Enforcement
Data Science in Agriculture: Yield Prediction and Soil Health
Computational Social Science: Analyzing Societal Trends
Data Science in Energy Sector: Consumption and Optimization
Personalization Technologies in Healthcare Through Data Science
The Role of Data Science in Content Creation and Media
Anomaly Detection in Network Security Using Data Science Techniques
The Future of Autonomous Vehicles: Data Science-Driven Innovations
Multimodal Data Fusion Techniques in Data Science
Scalability Challenges in Data Science Projects
The Role of Digital Transformation in Business Model Innovation
The Impact of Digital Technologies on Customer Experience
Digital Transformation in the Banking Sector: Trends and Challenges
The Use of AI and Robotics in Digital Transformation of Manufacturing
Digital Transformation in Healthcare: Telemedicine and Beyond
The Influence of Big Data on Decision-Making Processes in Corporations
Blockchain as a Driver for Transparency in Digital Transformation
The Role of IoT in Enhancing Operational Efficiency in Industries
Digital Marketing Strategies: SEO, Content, and Social Media
The Integration of Cyber-Physical Systems in Industrial Automation
Digital Transformation in Education: Virtual Learning Environments
Smart Cities: The Role of Digital Technologies in Urban Planning
Digital Transformation in the Retail Sector: E-commerce Evolution
The Future of Work: Impact of Digital Transformation on Workplaces
Cybersecurity Challenges in a Digitally Transformed World
Mobile Technologies and Their Impact on Digital Transformation
The Role of Digital Twin Technology in Industry 4.0
Digital Transformation in the Public Sector: E-Government Services
Data Privacy and Security in the Age of Digital Transformation
Digital Transformation in the Energy Sector: Smart Grids and Renewable Energy
The Use of Augmented Reality in Training and Development
The Role of Virtual Reality in Real Estate and Architecture
Digital Transformation and Sustainability: Reducing Environmental Footprint
The Role of Digital Transformation in Supply Chain Optimization
Digital Transformation in Agriculture: IoT and Smart Farming
The Impact of 5G on Digital Transformation Initiatives
The Influence of Digital Transformation on Media and Entertainment
Digital Transformation in Insurance: Telematics and Risk Assessment
The Role of AI in Enhancing Customer Service Operations
The Future of Digital Transformation: Trends and Predictions
Digital Transformation and Corporate Governance
The Role of Leadership in Driving Digital Transformation
Digital Transformation in Non-Profit Organizations: Challenges and Benefits
The Economic Implications of Digital Transformation
The Cultural Impact of Digital Transformation on Organizations
Digital Transformation in Transportation: Logistics and Fleet Management
User Experience (UX) Design in Digital Transformation
The Role of Digital Transformation in Crisis Management
Digital Transformation and Human Resource Management
Implementing Change Management in Digital Transformation Projects
Scalability Challenges in Distributed Systems: Solutions and Strategies
Blockchain Technology: Enhancing Security and Transparency in Distributed Networks
The Role of Edge Computing in Distributed Systems
Designing Fault-Tolerant Systems in Distributed Networks
The Impact of 5G Technology on Distributed Network Architectures
Machine Learning Algorithms for Network Traffic Analysis
Load Balancing Techniques in Distributed Computing
The Use of Distributed Ledger Technology Beyond Cryptocurrencies
Network Function Virtualization (NFV) and Its Impact on Service Providers
The Evolution of Software-Defined Networking (SDN) in Enterprise Environments
Implementing Robust Cybersecurity Measures in Distributed Systems
Quantum Computing: Implications for Network Security in Distributed Systems
Peer-to-Peer Network Protocols and Their Applications
The Internet of Things (IoT): Network Challenges and Communication Protocols
Real-Time Data Processing in Distributed Sensor Networks
The Role of Artificial Intelligence in Optimizing Network Operations
Privacy and Data Protection Strategies in Distributed Systems
The Future of Distributed Computing in Cloud Environments
Energy Efficiency in Distributed Network Systems
Wireless Mesh Networks: Design, Challenges, and Applications
Multi-Access Edge Computing (MEC): Use Cases and Deployment Challenges
Consensus Algorithms in Distributed Systems: From Blockchain to New Applications
The Use of Containers and Microservices in Building Scalable Applications
Network Slicing for 5G: Opportunities and Challenges
The Role of Distributed Systems in Big Data Analytics
Managing Data Consistency in Distributed Databases
The Impact of Distributed Systems on Digital Transformation Strategies
Augmented Reality over Distributed Networks: Performance and Scalability Issues
The Application of Distributed Systems in Smart Grid Technology
Developing Distributed Applications Using Serverless Architectures
The Challenges of Implementing IPv6 in Distributed Networks
Distributed Systems for Disaster Recovery: Design and Implementation
The Use of Virtual Reality in Distributed Network Environments
Security Protocols for Ad Hoc Networks in Emergency Situations
The Role of Distributed Networks in Enhancing Mobile Broadband Services
Next-Generation Protocols for Enhanced Network Reliability and Performance
The Application of Blockchain in Securing Distributed IoT Networks
Dynamic Resource Allocation Strategies in Distributed Systems
The Integration of Distributed Systems with Existing IT Infrastructure
The Future of Autonomous Systems in Distributed Networking
The Integration of GIS with Remote Sensing for Environmental Monitoring
GIS in Urban Planning: Techniques for Sustainable Development
The Role of GIS in Disaster Management and Response Strategies
Real-Time GIS Applications in Traffic Management and Route Planning
The Use of GIS in Water Resource Management
GIS and Public Health: Tracking Epidemics and Healthcare Access
Advances in 3D GIS: Technologies and Applications
GIS in Agricultural Management: Precision Farming Techniques
The Impact of GIS on Biodiversity Conservation Efforts
Spatial Data Analysis for Crime Pattern Detection and Prevention
GIS in Renewable Energy: Site Selection and Resource Management
The Role of GIS in Historical Research and Archaeology
GIS and Machine Learning: Integrating Spatial Analysis with Predictive Models
Cloud Computing and GIS: Enhancing Accessibility and Data Processing
The Application of GIS in Managing Public Transportation Systems
GIS in Real Estate: Market Analysis and Property Valuation
The Use of GIS for Environmental Impact Assessments
Mobile GIS Applications: Development and Usage Trends
GIS and Its Role in Smart City Initiatives
Privacy Issues in the Use of Geographic Information Systems
GIS in Forest Management: Monitoring and Conservation Strategies
The Impact of GIS on Tourism: Enhancing Visitor Experiences through Technology
GIS in the Insurance Industry: Risk Assessment and Policy Design
The Development of Participatory GIS (PGIS) for Community Engagement
GIS in Coastal Management: Addressing Erosion and Flood Risks
Geospatial Analytics in Retail: Optimizing Location and Consumer Insights
GIS for Wildlife Tracking and Habitat Analysis
The Use of GIS in Climate Change Studies
GIS and Social Media: Analyzing Spatial Trends from User Data
The Future of GIS: Augmented Reality and Virtual Reality Applications
GIS in Education: Tools for Teaching Geographic Concepts
The Role of GIS in Land Use Planning and Zoning
GIS for Emergency Medical Services: Optimizing Response Times
Open Source GIS Software: Development and Community Contributions
GIS and the Internet of Things (IoT): Converging Technologies for Advanced Monitoring
GIS for Mineral Exploration: Techniques and Applications
The Role of GIS in Municipal Management and Services
GIS and Drone Technology: A Synergy for Precision Mapping
Spatial Statistics in GIS: Techniques for Advanced Data Analysis
Future Trends in GIS: The Integration of AI for Smarter Solutions
The Evolution of User Interface (UI) Design: From Desktop to Mobile and Beyond
The Role of HCI in Enhancing Accessibility for Disabled Users
Virtual Reality (VR) and Augmented Reality (AR) in HCI: New Dimensions of Interaction
The Impact of HCI on User Experience (UX) in Software Applications
Cognitive Aspects of HCI: Understanding User Perception and Behavior
HCI and the Internet of Things (IoT): Designing Interactive Smart Devices
The Use of Biometrics in HCI: Security and Usability Concerns
HCI in Educational Technologies: Enhancing Learning through Interaction
Emotional Recognition and Its Application in HCI
The Role of HCI in Wearable Technology: Design and Functionality
Advanced Techniques in Voice User Interfaces (VUIs)
The Impact of HCI on Social Media Interaction Patterns
HCI in Healthcare: Designing User-Friendly Medical Devices and Software
HCI and Gaming: Enhancing Player Engagement and Experience
The Use of HCI in Robotic Systems: Improving Human-Robot Interaction
The Influence of HCI on E-commerce: Optimizing User Journeys and Conversions
HCI in Smart Homes: Interaction Design for Automated Environments
Multimodal Interaction: Integrating Touch, Voice, and Gesture in HCI
HCI and Aging: Designing Technology for Older Adults
The Role of HCI in Virtual Teams: Tools and Strategies for Collaboration
User-Centered Design: HCI Strategies for Developing User-Focused Software
HCI Research Methodologies: Experimental Design and User Studies
The Application of HCI Principles in the Design of Public Kiosks
The Future of HCI: Integrating Artificial Intelligence for Smarter Interfaces
HCI in Transportation: Designing User Interfaces for Autonomous Vehicles
Privacy and Ethics in HCI: Addressing User Data Security
HCI and Environmental Sustainability: Promoting Eco-Friendly Behaviors
Adaptive Interfaces: HCI Design for Personalized User Experiences
The Role of HCI in Content Creation: Tools for Artists and Designers
HCI for Crisis Management: Designing Systems for Emergency Use
The Use of HCI in Sports Technology: Enhancing Training and Performance
The Evolution of Haptic Feedback in HCI
HCI and Cultural Differences: Designing for Global User Bases
The Impact of HCI on Digital Marketing: Creating Engaging User Interactions
HCI in Financial Services: Improving User Interfaces for Banking Apps
The Role of HCI in Enhancing User Trust in Technology
HCI for Public Safety: User Interfaces for Security Systems
The Application of HCI in the Film and Television Industry
HCI and the Future of Work: Designing Interfaces for Remote Collaboration
Innovations in HCI: Exploring New Interaction Technologies and Their Applications
Deep Learning Techniques for Advanced Image Segmentation
Real-Time Image Processing for Autonomous Driving Systems
Image Enhancement Algorithms for Underwater Imaging
Super-Resolution Imaging: Techniques and Applications
The Role of Image Processing in Remote Sensing and Satellite Imagery Analysis
Machine Learning Models for Medical Image Diagnosis
The Impact of AI on Photographic Restoration and Enhancement
Image Processing in Security Systems: Facial Recognition and Motion Detection
Advanced Algorithms for Image Noise Reduction
3D Image Reconstruction Techniques in Tomography
Image Processing for Agricultural Monitoring: Crop Disease Detection and Yield Prediction
Techniques for Panoramic Image Stitching
Video Image Processing: Real-Time Streaming and Data Compression
The Application of Image Processing in Printing Technology
Color Image Processing: Theory and Practical Applications
The Use of Image Processing in Biometrics Identification
Computational Photography: Image Processing Techniques in Smartphone Cameras
Image Processing for Augmented Reality: Real-time Object Overlay
The Development of Image Processing Algorithms for Traffic Control Systems
Pattern Recognition and Analysis in Forensic Imaging
Adaptive Filtering Techniques in Image Processing
Image Processing in Retail: Customer Tracking and Behavior Analysis
The Role of Image Processing in Cultural Heritage Preservation
Image Segmentation Techniques for Cancer Detection in Medical Imaging
High Dynamic Range (HDR) Imaging: Algorithms and Display Techniques
Image Classification with Deep Convolutional Neural Networks
The Evolution of Edge Detection Algorithms in Image Processing
Image Processing for Wildlife Monitoring: Species Recognition and Behavior Analysis
Application of Wavelet Transforms in Image Compression
Image Processing in Sports: Enhancing Broadcasts and Performance Analysis
Optical Character Recognition (OCR) Improvements in Document Scanning
Multi-Spectral Imaging for Environmental and Earth Studies
Image Processing for Space Exploration: Analysis of Planetary Images
Real-Time Image Processing for Event Surveillance
The Influence of Quantum Computing on Image Processing Speed and Security
Machine Vision in Manufacturing: Defect Detection and Quality Control
Image Processing in Neurology: Visualizing Brain Functions
Photogrammetry and Image Processing in Geology: 3D Terrain Mapping
Advanced Techniques in Image Watermarking for Copyright Protection
The Future of Image Processing: Integrating AI for Automated Editing
The Evolution of Enterprise Resource Planning (ERP) Systems in the Digital Age
Information Systems for Managing Distributed Workforces
The Role of Information Systems in Enhancing Supply Chain Management
Cybersecurity Measures in Information Systems
The Impact of Big Data on Decision Support Systems
Blockchain Technology for Information System Security
The Development of Sustainable IT Infrastructure in Information Systems
The Use of AI in Information Systems for Business Intelligence
Information Systems in Healthcare: Improving Patient Care and Data Management
The Influence of IoT on Information Systems Architecture
Mobile Information Systems: Development and Usability Challenges
The Role of Geographic Information Systems (GIS) in Urban Planning
Social Media Analytics: Tools and Techniques in Information Systems
Information Systems in Education: Enhancing Learning and Administration
Cloud Computing Integration into Corporate Information Systems
Information Systems Audit: Practices and Challenges
User Interface Design and User Experience in Information Systems
Privacy and Data Protection in Information Systems
The Future of Quantum Computing in Information Systems
The Role of Information Systems in Environmental Management
Implementing Effective Knowledge Management Systems
The Adoption of Virtual Reality in Information Systems
The Challenges of Implementing ERP Systems in Multinational Corporations
Information Systems for Real-Time Business Analytics
The Impact of 5G Technology on Mobile Information Systems
Ethical Issues in the Management of Information Systems
Information Systems in Retail: Enhancing Customer Experience and Management
The Role of Information Systems in Non-Profit Organizations
Development of Decision Support Systems for Strategic Planning
Information Systems in the Banking Sector: Enhancing Financial Services
Risk Management in Information Systems
The Integration of Artificial Neural Networks in Information Systems
Information Systems and Corporate Governance
Information Systems for Disaster Response and Management
The Role of Information Systems in Sports Management
Information Systems for Public Health Surveillance
The Future of Information Systems: Trends and Predictions
Information Systems in the Film and Media Industry
Business Process Reengineering through Information Systems
Implementing Customer Relationship Management (CRM) Systems in E-commerce
Emerging Trends in Artificial Intelligence and Machine Learning
The Future of Cloud Services and Technology
Cybersecurity: Current Threats and Future Defenses
The Role of Information Technology in Sustainable Energy Solutions
Internet of Things (IoT): From Smart Homes to Smart Cities
Blockchain and Its Impact on Information Technology
The Use of Big Data Analytics in Predictive Modeling
Virtual Reality (VR) and Augmented Reality (AR): The Next Frontier in IT
The Challenges of Digital Transformation in Traditional Businesses
Wearable Technology: Health Monitoring and Beyond
5G Technology: Implementation and Impacts on IT
Biometrics Technology: Uses and Privacy Concerns
The Role of IT in Global Health Initiatives
Ethical Considerations in the Development of Autonomous Systems
Data Privacy in the Age of Information Overload
The Evolution of Software Development Methodologies
Quantum Computing: The Next Revolution in IT
IT Governance: Best Practices and Standards
The Integration of AI in Customer Service Technology
IT in Manufacturing: Industrial Automation and Robotics
The Future of E-commerce: Technology and Trends
Mobile Computing: Innovations and Challenges
Information Technology in Education: Tools and Trends
IT Project Management: Approaches and Tools
The Role of IT in Media and Entertainment
The Impact of Digital Marketing Technologies on Business Strategies
IT in Logistics and Supply Chain Management
The Development and Future of Autonomous Vehicles
IT in the Insurance Sector: Enhancing Efficiency and Customer Engagement
The Role of IT in Environmental Conservation
Smart Grid Technology: IT at the Intersection of Energy Management
Telemedicine: The Impact of IT on Healthcare Delivery
IT in the Agricultural Sector: Innovations and Impact
Cyber-Physical Systems: IT in the Integration of Physical and Digital Worlds
The Influence of Social Media Platforms on IT Development
Data Centers: Evolution, Technologies, and Sustainability
IT in Public Administration: Improving Services and Transparency
The Role of IT in Sports Analytics
Information Technology in Retail: Enhancing the Shopping Experience
The Future of IT: Integrating Ethical AI Systems

Internet of Things (IoT) Thesis Topics

Enhancing IoT Security: Strategies for Safeguarding Connected Devices
IoT in Smart Cities: Infrastructure and Data Management Challenges
The Application of IoT in Precision Agriculture: Maximizing Efficiency and Yield
IoT and Healthcare: Opportunities for Remote Monitoring and Patient Care
Energy Efficiency in IoT: Techniques for Reducing Power Consumption in Devices
The Role of IoT in Supply Chain Management and Logistics
Real-Time Data Processing Using Edge Computing in IoT Networks
Privacy Concerns and Data Protection in IoT Systems
The Integration of IoT with Blockchain for Enhanced Security and Transparency
IoT in Environmental Monitoring: Systems for Air Quality and Water Safety
Predictive Maintenance in Industrial IoT: Strategies and Benefits
IoT in Retail: Enhancing Customer Experience through Smart Technology
The Development of Standard Protocols for IoT Communication
IoT in Smart Homes: Automation and Security Systems
The Role of IoT in Disaster Management: Early Warning Systems and Response Coordination
Machine Learning Techniques for IoT Data Analytics
IoT in Automotive: The Future of Connected and Autonomous Vehicles
The Impact of 5G on IoT: Enhancements in Speed and Connectivity
IoT Device Lifecycle Management: From Creation to Decommissioning
IoT in Public Safety: Applications for Emergency Response and Crime Prevention
The Ethics of IoT: Balancing Innovation with Consumer Rights
IoT and the Future of Work: Automation and Labor Market Shifts
Designing User-Friendly Interfaces for IoT Applications
IoT in the Energy Sector: Smart Grids and Renewable Energy Integration
Quantum Computing and IoT: Potential Impacts and Applications
The Role of AI in Enhancing IoT Solutions
IoT for Elderly Care: Technologies for Health and Mobility Assistance
IoT in Education: Enhancing Classroom Experiences and Learning Outcomes
Challenges in Scaling IoT Infrastructure for Global Coverage
The Economic Impact of IoT: Industry Transformations and New Business Models
IoT and Tourism: Enhancing Visitor Experiences through Connected Technologies
Data Fusion Techniques in IoT: Integrating Diverse Data Sources
IoT in Aquaculture: Monitoring and Managing Aquatic Environments
Wireless Technologies for IoT: Comparing LoRa, Zigbee, and NB-IoT
IoT and Intellectual Property: Navigating the Legal Landscape
IoT in Sports: Enhancing Training and Audience Engagement
Building Resilient IoT Systems against Cyber Attacks
IoT for Waste Management: Innovations and System Implementations
IoT in Agriculture: Drones and Sensors for Crop Monitoring
The Role of IoT in Cultural Heritage Preservation: Monitoring and Maintenance
Advanced Algorithms for Supervised and Unsupervised Learning
Machine Learning in Genomics: Predicting Disease Propensity and Treatment Outcomes
The Use of Neural Networks in Image Recognition and Analysis
Reinforcement Learning: Applications in Robotics and Autonomous Systems
The Role of Machine Learning in Natural Language Processing and Linguistic Analysis
Deep Learning for Predictive Analytics in Business and Finance
Machine Learning for Cybersecurity: Detection of Anomalies and Malware
Ethical Considerations in Machine Learning: Bias and Fairness
The Integration of Machine Learning with IoT for Smart Device Management
Transfer Learning: Techniques and Applications in New Domains
The Application of Machine Learning in Environmental Science
Machine Learning in Healthcare: Diagnosing Conditions from Medical Images
The Use of Machine Learning in Algorithmic Trading and Stock Market Analysis
Machine Learning in Social Media: Sentiment Analysis and Trend Prediction
Quantum Machine Learning: Merging Quantum Computing with AI
Feature Engineering and Selection in Machine Learning
Machine Learning for Enhancing User Experience in Mobile Applications
The Impact of Machine Learning on Digital Marketing Strategies
Machine Learning for Energy Consumption Forecasting and Optimization
The Role of Machine Learning in Enhancing Network Security Protocols
Scalability and Efficiency of Machine Learning Algorithms
Machine Learning in Drug Discovery and Pharmaceutical Research
The Application of Machine Learning in Sports Analytics
Machine Learning for Real-Time Decision-Making in Autonomous Vehicles
The Use of Machine Learning in Predicting Geographical and Meteorological Events
Machine Learning for Educational Data Mining and Learning Analytics
The Role of Machine Learning in Audio Signal Processing
Predictive Maintenance in Manufacturing Through Machine Learning
Machine Learning and Its Implications for Privacy and Surveillance
The Application of Machine Learning in Augmented Reality Systems
Deep Learning Techniques in Medical Diagnosis: Challenges and Opportunities
The Use of Machine Learning in Video Game Development
Machine Learning for Fraud Detection in Financial Services
The Role of Machine Learning in Agricultural Optimization and Management
The Impact of Machine Learning on Content Personalization and Recommendation Systems
Machine Learning in Legal Tech: Document Analysis and Case Prediction
Adaptive Learning Systems: Tailoring Education Through Machine Learning
Machine Learning in Space Exploration: Analyzing Data from Space Missions
Machine Learning for Public Sector Applications: Improving Services and Efficiency
The Future of Machine Learning: Integrating Explainable AI
Innovations in Convolutional Neural Networks for Image and Video Analysis
Recurrent Neural Networks: Applications in Sequence Prediction and Analysis
The Role of Neural Networks in Predicting Financial Market Trends
Deep Neural Networks for Enhanced Speech Recognition Systems
Neural Networks in Medical Imaging: From Detection to Diagnosis
Generative Adversarial Networks (GANs): Applications in Art and Media
The Use of Neural Networks in Autonomous Driving Technologies
Neural Networks for Real-Time Language Translation
The Application of Neural Networks in Robotics: Sensory Data and Movement Control
Neural Network Optimization Techniques: Overcoming Overfitting and Underfitting
The Integration of Neural Networks with Blockchain for Data Security
Neural Networks in Climate Modeling and Weather Forecasting
The Use of Neural Networks in Enhancing Internet of Things (IoT) Devices
Graph Neural Networks: Applications in Social Network Analysis and Beyond
The Impact of Neural Networks on Augmented Reality Experiences
Neural Networks for Anomaly Detection in Network Security
The Application of Neural Networks in Bioinformatics and Genomic Data Analysis
Capsule Neural Networks: Improving the Robustness and Interpretability of Deep Learning
The Role of Neural Networks in Consumer Behavior Analysis
Neural Networks in Energy Sector: Forecasting and Optimization
The Evolution of Neural Network Architectures for Efficient Learning
The Use of Neural Networks in Sentiment Analysis: Techniques and Challenges
Deep Reinforcement Learning: Strategies for Advanced Decision-Making Systems
Neural Networks for Precision Medicine: Tailoring Treatments to Individual Genetic Profiles
The Use of Neural Networks in Virtual Assistants: Enhancing Natural Language Understanding
The Impact of Neural Networks on Pharmaceutical Research
Neural Networks for Supply Chain Management: Prediction and Automation
The Application of Neural Networks in E-commerce: Personalization and Recommendation Systems
Neural Networks for Facial Recognition: Advances and Ethical Considerations
The Role of Neural Networks in Educational Technologies
The Use of Neural Networks in Predicting Economic Trends
Neural Networks in Sports: Analyzing Performance and Strategy
The Impact of Neural Networks on Digital Security Systems
Neural Networks for Real-Time Video Surveillance Analysis
The Integration of Neural Networks in Edge Computing Devices
Neural Networks for Industrial Automation: Improving Efficiency and Accuracy
The Future of Neural Networks: Towards More General AI Applications
Neural Networks in Art and Design: Creating New Forms of Expression
The Role of Neural Networks in Enhancing Public Health Initiatives
The Future of Neural Networks: Challenges in Scalability and Generalization
The Evolution of Programming Paradigms: Functional vs. Object-Oriented Programming
Advances in Compiler Design and Optimization Techniques
The Impact of Programming Languages on Software Security
Developing Programming Languages for Quantum Computing
Machine Learning in Automated Code Generation and Optimization
The Role of Programming in Developing Scalable Cloud Applications
The Future of Web Development: New Frameworks and Technologies
Cross-Platform Development: Best Practices in Mobile App Programming
The Influence of Programming Techniques on Big Data Analytics
Real-Time Systems Programming: Challenges and Solutions
The Integration of Programming with Blockchain Technology
Programming for IoT: Languages and Tools for Device Communication
Secure Coding Practices: Preventing Cyber Attacks through Software Design
The Role of Programming in Data Visualization and User Interface Design
Advances in Game Programming: Graphics, AI, and Network Play
The Impact of Programming on Digital Media and Content Creation
Programming Languages for Robotics: Trends and Future Directions
The Use of Artificial Intelligence in Enhancing Programming Productivity
Programming for Augmented and Virtual Reality: New Challenges and Techniques
Ethical Considerations in Programming: Bias, Fairness, and Transparency
The Future of Programming Education: Interactive and Adaptive Learning Models
Programming for Wearable Technology: Special Considerations and Challenges
The Evolution of Programming in Financial Technology
Functional Programming in Enterprise Applications
Memory Management Techniques in Programming: From Garbage Collection to Manual Control
The Role of Open Source Programming in Accelerating Innovation
The Impact of Programming on Network Security and Cryptography
Developing Accessible Software: Programming for Users with Disabilities
Programming Language Theories: New Models and Approaches
The Challenges of Legacy Code: Strategies for Modernization and Integration
Energy-Efficient Programming: Optimizing Code for Green Computing
Multithreading and Concurrency: Advanced Programming Techniques
The Impact of Programming on Computational Biology and Bioinformatics
The Role of Scripting Languages in Automating System Administration
Programming and the Future of Quantum Resistant Cryptography
Code Review and Quality Assurance: Techniques and Tools
Adaptive and Predictive Programming for Dynamic Environments
The Role of Programming in Enhancing E-commerce Technology
Programming for Cyber-Physical Systems: Bridging the Gap Between Digital and Physical
The Influence of Programming Languages on Computational Efficiency and Performance
Quantum Algorithms: Development and Applications Beyond Shor’s and Grover’s Algorithms
The Role of Quantum Computing in Solving Complex Biological Problems
Quantum Cryptography: New Paradigms for Secure Communication
Error Correction Techniques in Quantum Computing
Quantum Computing and Its Impact on Artificial Intelligence
The Integration of Classical and Quantum Computing: Hybrid Models
Quantum Machine Learning: Theoretical Foundations and Practical Applications
Quantum Computing Hardware: Advances in Qubit Technology
The Application of Quantum Computing in Financial Modeling and Risk Assessment
Quantum Networking: Establishing Secure Quantum Communication Channels
The Future of Drug Discovery: Applications of Quantum Computing
Quantum Computing in Cryptanalysis: Threats to Current Cryptography Standards
Simulation of Quantum Systems for Material Science
Quantum Computing for Optimization Problems in Logistics and Manufacturing
Theoretical Limits of Quantum Computing: Understanding Quantum Complexity
Quantum Computing and the Future of Search Algorithms
The Role of Quantum Computing in Climate Science and Environmental Modeling
Quantum Annealing vs. Universal Quantum Computing: Comparative Studies
Implementing Quantum Algorithms in Quantum Programming Languages
The Impact of Quantum Computing on Public Key Cryptography
Quantum Entanglement: Experiments and Applications in Quantum Networks
Scalability Challenges in Quantum Processors
The Ethics and Policy Implications of Quantum Computing
Quantum Computing in Space Exploration and Astrophysics
The Role of Quantum Computing in Developing Next-Generation AI Systems
Quantum Computing in the Energy Sector: Applications in Smart Grids and Nuclear Fusion
Noise and Decoherence in Quantum Computers: Overcoming Practical Challenges
Quantum Computing for Predicting Economic Market Trends
Quantum Sensors: Enhancing Precision in Measurement and Imaging
The Future of Quantum Computing Education and Workforce Development
Quantum Computing in Cybersecurity: Preparing for a Post-Quantum World
Quantum Computing and the Internet of Things: Potential Intersections
Practical Quantum Computing: From Theory to Real-World Applications
Quantum Supremacy: Milestones and Future Goals
The Role of Quantum Computing in Genetics and Genomics
Quantum Computing for Material Discovery and Design
The Challenges of Quantum Programming Languages and Environments
Quantum Computing in Art and Creative Industries
The Global Race for Quantum Computing Supremacy: Technological and Political Aspects
Quantum Computing and Its Implications for Software Engineering
Advances in Humanoid Robotics: New Developments and Challenges
Robotics in Healthcare: From Surgery to Rehabilitation
The Integration of AI in Robotics: Enhanced Autonomy and Learning Capabilities
Swarm Robotics: Coordination Strategies and Applications
The Use of Robotics in Hazardous Environments: Deep Sea and Space Exploration
Soft Robotics: Materials, Design, and Applications
Robotics in Agriculture: Automation of Farming and Harvesting Processes
The Role of Robotics in Manufacturing: Increased Efficiency and Flexibility
Ethical Considerations in the Deployment of Robots in Human Environments
Autonomous Vehicles: Technological Advances and Regulatory Challenges
Robotic Assistants for the Elderly and Disabled: Improving Quality of Life
The Use of Robotics in Education: Teaching Science, Technology, Engineering, and Math (STEM)
Robotics and Computer Vision: Enhancing Perception and Decision Making
The Impact of Robotics on Employment and the Workforce
The Development of Robotic Systems for Environmental Monitoring and Conservation
Machine Learning Techniques for Robotic Perception and Navigation
Advances in Robotic Surgery: Precision and Outcomes
Human-Robot Interaction: Building Trust and Cooperation
Robotics in Retail: Automated Warehousing and Customer Service
Energy-Efficient Robots: Design and Utilization
Robotics in Construction: Automation and Safety Improvements
The Role of Robotics in Disaster Response and Recovery Operations
The Application of Robotics in Art and Creative Industries
Robotics and the Future of Personal Transportation
Ethical AI in Robotics: Ensuring Safe and Fair Decision-Making
The Use of Robotics in Logistics: Drones and Autonomous Delivery Vehicles
Robotics in the Food Industry: From Production to Service
The Integration of IoT with Robotics for Enhanced Connectivity
Wearable Robotics: Exoskeletons for Rehabilitation and Enhanced Mobility
The Impact of Robotics on Privacy and Security
Robotic Pet Companions: Social Robots and Their Psychological Effects
Robotics for Planetary Exploration and Colonization
Underwater Robotics: Innovations in Oceanography and Marine Biology
Advances in Robotics Programming Languages and Tools
The Role of Robotics in Minimizing Human Exposure to Contaminants and Pathogens
Collaborative Robots (Cobots): Working Alongside Humans in Shared Spaces
The Use of Robotics in Entertainment and Sports
Robotics and Machine Ethics: Programming Moral Decision-Making
The Future of Military Robotics: Opportunities and Challenges
Sustainable Robotics: Reducing the Environmental Impact of Robotic Systems
Agile Methodologies: Evolution and Future Trends
DevOps Practices: Improving Software Delivery and Lifecycle Management
The Impact of Microservices Architecture on Software Development
Containerization Technologies: Docker, Kubernetes, and Beyond
Software Quality Assurance: Modern Techniques and Tools
The Role of Artificial Intelligence in Automated Software Testing
Blockchain Applications in Software Development and Security
The Integration of Continuous Integration and Continuous Deployment (CI/CD) in Software Projects
Cybersecurity in Software Engineering: Best Practices for Secure Coding
Low-Code and No-Code Development: Implications for Professional Software Development
The Future of Software Engineering Education
Software Sustainability: Developing Green Software and Reducing Carbon Footprints
The Role of Software Engineering in Healthcare: Telemedicine and Patient Data Management
Privacy by Design: Incorporating Privacy Features at the Development Stage
The Impact of Quantum Computing on Software Engineering
Software Engineering for Augmented and Virtual Reality: Challenges and Innovations
Cloud-Native Applications: Design, Development, and Deployment
Software Project Management: Agile vs. Traditional Approaches
Open Source Software: Community Engagement and Project Sustainability
The Evolution of Graphical User Interfaces in Application Development
The Challenges of Integrating IoT Devices into Software Systems
Ethical Issues in Software Engineering: Bias, Accountability, and Regulation
Software Engineering for Autonomous Vehicles: Safety and Regulatory Considerations
Big Data Analytics in Software Development: Enhancing Decision-Making Processes
The Future of Mobile App Development: Trends and Technologies
The Role of Software Engineering in Artificial Intelligence: Frameworks and Algorithms
Performance Optimization in Software Applications
Adaptive Software Development: Responding to Changing User Needs
Software Engineering in Financial Services: Compliance and Security Challenges
User Experience (UX) Design in Software Engineering
The Role of Software Engineering in Smart Cities: Infrastructure and Services
The Impact of 5G on Software Development and Deployment
Real-Time Systems in Software Engineering: Design and Implementation Challenges
Cross-Platform Development Challenges: Ensuring Consistency and Performance
Software Testing Automation: Tools and Trends
The Integration of Cyber-Physical Systems in Software Engineering
Software Engineering in the Entertainment Industry: Game Development and Beyond
The Application of Machine Learning in Predicting Software Bugs
The Role of Software Engineering in Cybersecurity Defense Strategies
Accessibility in Software Engineering: Creating Inclusive and Usable Software
Progressive Web Apps (PWAs): Advantages and Implementation Challenges
The Future of Web Accessibility: Standards and Practices
Single-Page Applications (SPAs) vs. Multi-Page Applications (MPAs): Performance and Usability
The Impact of Serverless Computing on Web Development
The Evolution of CSS for Modern Web Design
Security Best Practices in Web Development: Defending Against XSS and CSRF Attacks
The Role of Web Development in Enhancing E-commerce User Experience
The Use of Artificial Intelligence in Web Personalization and User Engagement
The Future of Web APIs: Standards, Security, and Scalability
Responsive Web Design: Techniques and Trends
JavaScript Frameworks: Vue.js, React.js, and Angular – A Comparative Analysis
Web Development for IoT: Interfaces and Connectivity Solutions
The Impact of 5G on Web Development and User Experiences
The Use of Blockchain Technology in Web Development for Enhanced Security
Web Development in the Cloud: Using AWS, Azure, and Google Cloud
Content Management Systems (CMS): Trends and Future Developments
The Application of Web Development in Virtual and Augmented Reality
The Importance of Web Performance Optimization: Tools and Techniques
Sustainable Web Design: Practices for Reducing Energy Consumption
The Role of Web Development in Digital Marketing: SEO and Social Media Integration
Headless CMS: Benefits and Challenges for Developers and Content Creators
The Future of Web Typography: Design, Accessibility, and Performance
Web Development and Data Protection: Complying with GDPR and Other Regulations
Real-Time Web Communication: Technologies like WebSockets and WebRTC
Front-End Development Tools: Efficiency and Innovation in Workflow
The Challenges of Migrating Legacy Systems to Modern Web Architectures
Microfrontends Architecture: Designing Scalable and Decoupled Web Applications
The Impact of Cryptocurrencies on Web Payment Systems
User-Centered Design in Web Development: Methods for Engaging Users
The Role of Web Development in Business Intelligence: Dashboards and Reporting Tools
Web Development for Mobile Platforms: Optimization and Best Practices
The Evolution of E-commerce Platforms: From Web to Mobile Commerce
Web Security in E-commerce: Protecting Transactions and User Data
Dynamic Web Content: Server-Side vs. Client-Side Rendering
The Future of Full Stack Development: Trends and Skills
Web Design Psychology: How Design Influences User Behavior
The Role of Web Development in the Non-Profit Sector: Fundraising and Community Engagement
The Integration of AI Chatbots in Web Development
The Use of Motion UI in Web Design: Enhancing Aesthetics and User Interaction
The Future of Web Development: Predictions and Emerging Technologies

We trust that this comprehensive list of computer science thesis topics will serve as a valuable starting point for your research endeavors. With 1000 unique and carefully selected topics distributed across 25 key areas of computer science, students are equipped to tackle complex questions and contribute meaningful advancements to the field. As you proceed to select your thesis topic, consider not only your personal interests and career goals but also the potential impact of your research. We encourage you to explore these topics thoroughly and choose one that will not only challenge you but also push the boundaries of technology and innovation.

The Range of Computer Science Thesis Topics

Computer science stands as a dynamic and ever-evolving field that continuously reshapes how we interact with the world. At its core, the discipline encompasses not just the study of algorithms and computation, but a broad spectrum of practical and theoretical knowledge areas that drive innovation in various sectors. This article aims to explore the rich landscape of computer science thesis topics, offering students and researchers a glimpse into the potential areas of study that not only challenge the intellect but also contribute significantly to technological progress. As we delve into the current issues, recent trends, and future directions of computer science, it becomes evident that the possibilities for research are both vast and diverse. Whether you are intrigued by the complexities of artificial intelligence, the robust architecture of networks and systems, or the innovative approaches in cybersecurity, computer science offers a fertile ground for developing thesis topics that are as impactful as they are intellectually stimulating.

Current Issues in Computer Science

One of the prominent current issues in computer science revolves around data security and privacy. As digital transformation accelerates across industries, the massive influx of data generated poses significant challenges in terms of its protection and ethical use. Cybersecurity threats have become more sophisticated, with data breaches and cyber-attacks causing major concerns for organizations worldwide. This ongoing battle demands continuous improvements in security protocols and the development of robust cybersecurity measures. Computer science thesis topics in this area can explore new cryptographic methods, intrusion detection systems, and secure communication protocols to fortify digital defenses. Research could also delve into the ethical implications of data collection and use, proposing frameworks that ensure privacy while still leveraging data for innovation.

Another critical issue facing the field of computer science is the ethical development and deployment of artificial intelligence (AI) systems. As AI technologies become more integrated into daily life and critical infrastructure, concerns about bias, fairness, and accountability in AI systems have intensified. Thesis topics could focus on developing algorithms that address these ethical concerns, including techniques for reducing bias in machine learning models and methods for increasing transparency and explainability in AI decisions. This research is crucial for ensuring that AI technologies promote fairness and do not perpetuate or exacerbate existing societal inequalities.

Furthermore, the rapid pace of technological change presents a challenge in terms of sustainability and environmental impact. The energy consumption of large data centers, the carbon footprint of producing and disposing of electronic waste, and the broader effects of high-tech innovations on the environment are significant concerns within computer science. Thesis research in this domain could focus on creating more energy-efficient computing methods, developing algorithms that reduce power consumption, or innovating recycling technologies that address the issue of e-waste. This research not only contributes to the field of computer science but also plays a crucial role in ensuring that technological advancement does not come at an unsustainable cost to the environment.

These current issues highlight the dynamic nature of computer science and its direct impact on society. Addressing these challenges through focused research and innovative thesis topics not only advances the field but also contributes to resolving some of the most pressing problems facing our global community today.

Recent Trends in Computer Science

In recent years, computer science has witnessed significant advancements in the integration of artificial intelligence (AI) and machine learning (ML) across various sectors, marking one of the most exciting trends in the field. These technologies are not just reshaping traditional industries but are also at the forefront of driving innovations in areas like healthcare, finance, and autonomous systems. Thesis topics within this trend could explore the development of advanced ML algorithms that enhance predictive analytics, improve automated decision-making, or refine natural language processing capabilities. Additionally, AI’s role in ethical decision-making and its societal impacts offers a rich vein of inquiry for research, focusing on mitigating biases and ensuring that AI systems operate transparently and justly.

Another prominent trend in computer science is the rapid growth of blockchain technology beyond its initial application in cryptocurrencies. Blockchain is proving its potential in creating more secure, decentralized, and transparent networks for a variety of applications, from enhancing supply chain logistics to revolutionizing digital identity verification processes. Computer science thesis topics could investigate novel uses of blockchain for ensuring data integrity in digital transactions, enhancing cybersecurity measures, or even developing new frameworks for blockchain integration into existing technological infrastructures. The exploration of blockchain’s scalability, speed, and energy consumption also presents critical research opportunities that are timely and relevant.

Furthermore, the expansion of the Internet of Things (IoT) continues to be a significant trend, with more devices becoming connected every day, leading to increasingly smart environments. This proliferation poses unique challenges and opportunities for computer science research, particularly in terms of scalability, security, and new data management strategies. Thesis topics might focus on optimizing network protocols to handle the massive influx of data from IoT devices, developing solutions to safeguard against IoT-specific security vulnerabilities, or innovative applications of IoT in urban planning, smart homes, or healthcare. Research in this area is crucial for advancing the efficiency and functionality of IoT systems and for ensuring they can be safely and effectively integrated into modern life.

These recent trends underscore the vibrant and ever-evolving nature of computer science, reflecting its capacity to influence and transform an array of sectors through technological innovation. The continual emergence of new research topics within these trends not only enriches the academic discipline but also provides substantial benefits to society by addressing practical challenges and enhancing the capabilities of technology in everyday life.

Future Directions in Computer Science

As we look toward the future, one of the most anticipated areas in computer science is the advancement of quantum computing. This emerging technology promises to revolutionize problem-solving in fields that require immense computational power, such as cryptography, drug discovery, and complex system modeling. Quantum computing has the potential to process tasks at speeds unachievable by classical computers, offering breakthroughs in materials science and encryption methods. Computer science thesis topics might explore the theoretical underpinnings of quantum algorithms, the development of quantum-resistant cryptographic systems, or practical applications of quantum computing in industry-specific scenarios. Research in this area not only contributes to the foundational knowledge of quantum mechanics but also paves the way for its integration into mainstream computing, marking a significant leap forward in computational capabilities.

Another promising direction in computer science is the advancement of autonomous systems, particularly in robotics and vehicle automation. The future of autonomous technologies hinges on improving their safety, reliability, and decision-making processes under uncertain conditions. Thesis topics could focus on the enhancement of machine perception through computer vision and sensor fusion, the development of more sophisticated AI-driven decision frameworks, or ethical considerations in the deployment of autonomous systems. As these technologies become increasingly prevalent, research will play a crucial role in addressing the societal and technical challenges they present, ensuring their beneficial integration into daily life and industry operations.

Additionally, the ongoing expansion of artificial intelligence applications poses significant future directions for research, especially in the realm of AI ethics and policy. As AI systems become more capable and widespread, their impact on privacy, employment, and societal norms continues to grow. Future thesis topics might delve into the development of guidelines and frameworks for responsible AI, studies on the impact of AI on workforce dynamics, or innovations in transparent and fair AI systems. This research is vital for guiding the ethical evolution of AI technologies, ensuring they enhance societal well-being without diminishing human dignity or autonomy.

These future directions in computer science not only highlight the field’s potential for substantial technological advancements but also underscore the importance of thoughtful consideration of their broader implications. By exploring these areas in depth, computer science research can lead the way in not just technological innovation, but also in shaping a future where technology and ethics coexist harmoniously for the betterment of society.

In conclusion, the field of computer science is not only foundational to the technological advancements that characterize the modern age but also crucial in solving some of the most pressing challenges of our time. The potential thesis topics discussed in this article reflect a mere fraction of the opportunities that lie in the realms of theory, application, and innovation within this expansive field. As emerging technologies such as quantum computing, artificial intelligence, and blockchain continue to evolve, they open new avenues for research that could potentially redefine existing paradigms. For students embarking on their thesis journey, it is essential to choose a topic that not only aligns with their academic passions but also contributes to the ongoing expansion of computer science knowledge. By pushing the boundaries of what is known and exploring uncharted territories, students can leave a lasting impact on the field and pave the way for future technological breakthroughs. As we look forward, it’s clear that computer science will continue to be a key driver of change, making it an exciting and rewarding area for academic and professional growth.

Thesis Writing Services by iResearchNet

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Computer Science Research Topics

The dynamic discipline of computer science is driving innovation and technological progress in a number of areas, including education. Its importance is vast, as it is the foundation of the modern digital world, we live in.

Table of Contents

Choosing a computer science research topic for a thesis or dissertation is an important step for students to complete their degree. Research topics provided in this article will help students better understand theoretical ideas and provide them with hands-on experience applying those ideas to create original solutions.

Our comprehensive lists of computer science research topics cover a wide range of topics and are designed to help students select meaningful and relevant dissertation topics. All of these topics have been chosen by our team of highly qualified dissertation experts , taking into account both previous research findings and gaps in the field of computer science.

Computer Science Teacher/Professor Research Topics

The impact of collaborative learning tools on computer science student engagement
Evaluating the effectiveness of online and traditional computer science courses
Identify Opportunities and difficulties of incorporating artificial intelligence into the computer science curriculum
Explore the gamification as a means to improve learning outcomes in computer science education
How peer instruction helps students perform better in programming courses

Computer Science Research Ideas

Study of the implications of quantum computing for cryptographic algorithms
Analysing artificial intelligence methods to detect fraud in financial systems instantly
Enhancing cybersecurity measures for IoT networks using blockchain technology
Assessing the efficiency of transfer learning in natural language processing
Devising privacy-preserving data mining methods for cloud computing environments

Computer Science Thesis Topics

Examining Artificial Intelligence’s Effect on the Safety of Autonomous Vehicles
Investigating Deep Learning Models for Diagnostic Imaging in Medicine
Examining Blockchain’s Potential for Secure Voting Systems
Improving Cybersecurity with State-of-the-Art Intrusion Detection Technologies
Comparing Quantum Algorithms’ Effectiveness in Solving Complex Problems

Computer Science Dissertation Topics

Evaluating Big Data Analytics’ Effect on Business Intelligence Approaches
Understanding Machine Learning’s Function in Customized Healthcare Systems
Examining Blockchain’s Potential to Improve Data Security and Privacy
Improving the User Experience with Cutting-Edge Human-Computer Interaction Strategies
Assessing Cloud Computing Architectures’ Scalability for High-Demand Uses

Computer Science Topic Examples

Studying the Potential of AI to Enhance Medical Diagnostics and Therapy
The examination of Cyber-Physical System Applications and Integration Methods
Exploring Obstacles and Prospects in the Creation of Self-Driving Cars
Analyzing Artificial Intelligence’s Social Impact and Ethical Consequences
Building and Evaluating Interactive Virtual Reality User Experiences

Computer Security Research Topics

Examining Methods for Digital Communications Phishing Attack Detection and Prevention
Improving Intrusion Detection System Security in Networks
Cryptographic Protocol Development and Evaluation for Safe Data Transmission
Evaluating Security Limitations and Possible Solutions in Mobile Computing Settings
Vulnerability Analysis and Mitigation for Smart Contract Implementations

Cloud Computing Research Topics

Examining the Security of Cloud Computing: Recognizing Risks and Creating Countermeasures
Optimizing Resource Distribution Plans in Cloud-Based Environments
Investigating Cloud-Based Options to Improve Big Data Analytics
Examining the Effects of Cloud Computing on Enterprise IT Infrastructure
Formulating and Measuring Optimal Load Distribution Methods for Cloud Computing Services

Computational Biology Research Topics

Complex Biological System Modeling and Simulation for Predictive Insights
Implementing Bioinformatics Algorithms for DNA Sequence Analysis
Predictive genomics using Machine Learning Techniques
Investigating Computational Methods to Quicken Drug Discovery
Examining Protein-Protein Interactions Using State-of-the-Art Computational Techniques

Computational Chemistry Research Topics

Investigating Quantum Chemistry: Computational Techniques and Their Uses
Molecular Dynamics Models for Examining Chemical Processes
The use of Computational Methods to Promote Progress in Material Science
Chemical Property Prediction Using Machine Learning Methods
Evaluating Computational Chemistry’s Contribution to Drug Development and Design

Computational Mathematics Research Topics

Establishing Numerical Techniques to Solve Partial Differential Equations Effectively
Investigating of a Computational Methods in Algebraic Geometry
Formulating Mathematical Frameworks to Examine Complex System Behavior
Examining Computational Number Theory’s Use in Contemporary Mathematics

Computational Physics Research Topics

Compare the methodologies and Applications for Quantum System Simulation
Progressing Computational Fluid Dynamics: Methodologies and Real-World Uses
Study of the Simulating and Modeling Phenomena in Solid State Physics
Utilizing High-Performance Computing in Astrophysical Research
Handling Statistical Physics Problems with Computational Approaches

Computational Neuroscience Research Topics

Investigating the modelling of neural networks using machine learning techniques
Analysing brain imaging data using computational methods
Research into the role of computer modelling in understanding cognitive processes
Simulating synaptic plasticity and learning mechanisms in neural networks
Advances in the development of brain-computer interfaces through computational approaches

Also check: Education research ideas for your project

Computer Engineering Research Topics

Design and implement of low-power VLSI circuits for energy efficiency
Advanced embedded systems: design techniques and optimisation strategies
Exploring the latest advances in microprocessor architecture
Development and implementation of fault-tolerant systems for increased reliability
Implementation of real-time operating systems: Challenges and solutions

Computer Graphics Research Topics

Exploring real-time rendering techniques for interactive graphics
Comparative study of the advances in 3D modelling and animation technology
Applications of augmented reality in entertainment and education
Procedural generation techniques for the creation of virtual environments
The impact of GPU computing on modern graphics applications

Computer Forensics Research Topics

Developing advanced techniques for collecting and analysing digital evidence
Using machine learning to analyse patterns in cybercrime
Performing forensic analyses of data in cloud-based environments
Creating and improving tools for network forensics
Exploring legal and ethical considerations in computer forensics

Computer Hardware Research Topics

Design and optimisation of energy-efficient computing units for high-performance computers
Integration of quantum computer components into conventional hardware systems
Advances in neuromorphic computer hardware for artificial intelligence applications
Development of reliable hardware solutions for edge computing in IoT environments
High-density interconnects and packaging techniques for future semiconductor devices

Computer Programming Research Topics

Design and implementation of new programming languages for high-performance computing: challenges and solutions
Advances in automated testing tools and their impact on the software development lifecycle
The impact of functional programming paradigms on the design and architecture of modern software
Comparative analysis of concurrent and parallel programming models: Performance, scalability and usability

Computer Networking Research Topics

Advances in wireless communication technologies
Development of secure protocols for Internet of Things (IoT) networks
Optimising network performance with software-defined networking (SDN)
The role of 5G in the design of future communication systems

How to choose a topic in computer science

To choose a computer science topic, student first identify their interests and research current trends and available resources. They can seek advice from subject specialists to make sure the topic has a clear scope.

How Can Research Prospect Help students with Computer Science Topic and Dissertation process

At Research Prospect, we provide valuable support to computer science students throughout their dissertation process . From choosing research topics, drafting research proposals , conducting literature reviews , and analysing the data, our experts ensure to deliver high quality dissertations.

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Home > TECH > CGT > CGT Masters Theses

Department of Computer Graphics Technology Degree Theses

“ The Department of Computer Graphics Technology (CGT) offers the Master of Science degree with a thesis option. Students may choose courses that deal with virtual and augmented reality, product lifecycle management, and interactive media research.” Below are some degree theses on the aforementioned subjects and topics.

Nicoletta Adamo-Villani
Bedrich Benes
Vetria Byrd
Yingjie Chen
Patrick Connolly
Esteban Garcia
Ronald Glotzbach
Nathan Hartman
Raymond Hassan
Craig Miller
James Mohler
Carlos Morales
Amy Mueller
Paul Parsons
Nancy Rasche
Mihaela Vorvoreanu
David Whittinghill

Theses from 2017 2017

A Pattern Approach to Examine the Design Space of Spatiotemporal Visualization , Chen Guo

Theses from 2016 2016

Zephyr: A social psychology-based mobile application for long-distance romantic partners , Dhiraj Bodicherla

A study of how Chinese ink painting features can be applied to 3D scenes and models in real-time rendering , Muning Cao

Quit playing with your watch: Perceptions of smartwatch use , Christopher M. Gaeta

Inter-color NPR lines: A comparison of rendering techniques , Donald G. Herring

Gesture based non-obstacle interaction on mobile computing devices for dirty working environment , William B. Huynh

Implementation and validation of a probabilistic open source baseball engine (POSBE): Modeling hitters and pitchers , Rhett Tracy Schaefer

E-commerce mental models of upper middle class Chinese female consumers in Beijing , Yunfan Song

Theses from 2015 2015

Framework for functional tree simulation applied to 'golden delicious' apple trees , Marek Fiser

Teaching introductory game development with unreal engine: Challenges, strategies, and experiences , Nicholas A. Head

Simulating depth of field using per-pixel linked list buffer , Yang Liu

Dynamic textures , Illia Ziamtsov

Theses from 2014 2014

PERCEPTIONS AND EXPECTATIONS ABOUT THE USE OF SOCIAL MEDIA TO RAISE SITUATIONAL AWARENESS IN EMERGENCY EVENTS , Israa Bukhari

USABILITY TESTING OF THE M.A.E.G.U.S. SERIOUS GAME , James He

JUST NOTICEABLE DIFFERENCE SURVEY OF COMPUTER GENERATED IMAGERY USING NORMAL MAPS , Michael Edward Hoerter

THE EFFECT OF COLOR ON EMOTIONS IN ANIMATED FILMS , Andrew Kennedy

Usability of immersive virtual reality input devices , Christopher G. Mankey

M.A.E.G.U.S: MEASURING ALTERNATE ENERGY GENERATION VIA UNITY SIMULATION , Kavin Muhilan Nataraja

Augmented Reality Application Utility For Aviation Maintenance Work Instruction , John Bryan Pourcho

Senescence: An Aging based Character Simulation Framework , Suren Deepak Rajasekaran

Evaluating Optimum Levels Of Detail For 3d Interactive Aviation Maintenance Instructions , Nicholas Rohe

Integration of Z-Depth in Compositing , Kayla Steckel

Computer vision aided lip movement correction to improve English pronunciation , Shuang Wei

Computer animation for learning building construction management: A comparative study of first-person versus third-person view , Jun Yu

Theses from 2013 2013

Pilot Study of a Kinect-Based Video Game to Improve Physical Therapy Treatment , Jacob Samuel Brown

A Study Of The Effects Of Computer Animated Character Body Style On Perception Of Facial Expression , Katherine Cissell

Investigating the Effect Specific Credits of the LEED Rating System have on the Energy Performance of an Existing Building , Richelle Fosu

The Effects Of Parallax Scrolling On User Experience And Preference In Web Design , Dede M. Frederick

UNDERSTANDING VERIFICATION AND VALIDATION OF PRODUCT MODEL DATA IN INDUSTRY , Joseph Gerace

An Examination of Presentation Strategies for Textual Data in Augmented Reality , Kanrawi Kitkhachonkunlaphat

MULTIFUNCTIONAL FURNITURE FOR UNDERPRIVILEGED COMMUNITIES: A MILESTONE IN SUSTAINABLE DEVELOPMENT , Farah Nasser

IMPACT OF GRAPHICAL FIDELITY ON A PLAYER’S EMOTIONAL RESPONSE IN VIDEO GAMES , Vivianette Ocasio De Jesus

CORRELATING THE PURDUE SPATIAL VISUALIZATION TEST WITH THE WONDERLIC PERSONNEL TEST FOR AMERICAN FOOTBALL PLAYERS , Karthik Sukumar

Theses from 2012 2012

Defining Industry Expectations and Misconceptions of Art and Technology Co-Creativity , Vanessa C. Brasfield

DEFINING INDUSTRY EXPECTATIONS AND MISCONCEPTIONS OF ART AND TECHNOLOGY CO-CREATIVITY , Vanessa C. Brasfield

Social Media Marketing in a Small Business: A Case Study , Sarah Cox

User Assisted Tree Reconstruction from Point Clouds , William P. Leavenworth II

EFFECTS OF AUGMENTED REALITY PRESENTATIONS ON CONSUMER'S VISUAL PERCEPTION OF FLOOR PLANS , April L. Lutheran

An Analysis of Step, Jt, and Pdf Format Translation Between Constraint-based Cad Systems with a Benchmark Model , Dillon McKenzie-Veal

The Effect of Supplemental Pictorial Freehand Sketches on the Construction of CAD Models , Maria Nizovtseva

Towards the Development of Cost Metrics for Inadequate Interoperability , Kyle L. Sigo

The Effects of Microblogging in the Classroom on Communication , Alex Vernacchia

Incorporating Reverse Engineering Methodology into Engineering Curricula , Trevor Wanamaker

Research on the Relationship between Story and the Popularity of Animated Movies , Meng Wang

Sketching 3D Animation , Innfarn Yoo

Theses from 2011 2011

How do Millennial Engineering and Technology Students Experience Learning Through Traditional Teaching Methods Employed in the University Setting? , Elizabeth A. Howard

WHAT IS THE EFFECT OF REAL VERSUS AUGMENTED MODELS FOR THE ADVANCEMENT OF SPATIAL ABILITY BASED ON HAPTIC OR VISUAL LEARNING STYLE OF ENTRY-LEVEL ENGINEERING GRAPHICS STUDENTS? , Katie L. Huffman

Stereoscopic Visualization as a Tool For Learning Astronomy Concepts , Norman M. Joseph

Recruiting for Higher Education: The Roles that Print, Web, and Social Media Play in the Decision Process for Prospective Students , Brandon X. Karcher

Comparisons Between Educational Map Software Displaying Soil Data , Laura A. Kocur

Visual Learning Styles Among Digital Natives , Eric Palmer

Using A Serious Game To Motivate High School Students To Want To Learn About History , Marin M. Petkov

Adopting Game Technology for Architectural Visualization , Scott A. Schroeder

GPU-Based Global Illumination Using Lightcuts , Tong Zhang

Theses from 2010 2010

Effects of Lighting Phenomena on Perceived Realism of Rendered Water-rich Virtual Environments , Micah L. Bojrab

Full CUDA Implementation Of GPGPU Recursive Ray-Tracing , Andrew D. Britton

An Examination of Social Presence in Video Conferencing vs. an Augmented Reality Conferencing Application , Travis B. Faas

A Study of the Effects of Immersion on Short-term Spatial Memory , Eric A. Johnson

Evaluating the Efficacy of Clustered Visualization in Exploratory Search Tasks , Sarika S. Kothari

Large-Scale 3D Visualization of Doppler Reflectivity Data , Peter Kristof

Data Structures And Techniques For Visualization Of Large Volumetric Carbon Dioxide Datasets In A Real Time Experience , Jason B. Lambert

A Comparison of Peer Evaluation: The Evaluation App versus DeviantArt , Brian M. Mccreight

Evaluating User Modality Preference Effect On Cognitive Load In A Multimedia , Justin V. Scott

The Small and Medium Enterprise's Perspective of Product Data Management , Karen Waldenmeyer

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Thesis Topics

Topics for master and bachelor theses.

If you are interested in a conducting a thesis project in visual computing, please contact any of the group members to discuss further details. We recommend to first take an advanced course (i.e., beyond the first/second year introductory courses) or seminar with us as a preparation, but this is not a strict requirement if we can find a common topic based on your prior knowledge.

Below, we are listing a few example topics. This list is not exhaustive but meant to give a rough impression of suitable topics. Of course, it would be great if you were interested in one of the specific project ideas listed.

Computer Graphics Topics

3D self-localization and mapping with a dynamic 3D scanner. You are given a dynamic 3D point cloud scanner, such as a Microsoft "Kinect". The device provides a stream of 3D points that are sampled from the environment the scanner currently sees, and the scanner is moved by a human user through a scene (without the system knowing the motion path). The task is now to assemble this stream of 3D points into a consistent scene (mapping), putting each individual scan in the right place (self-localization). Challenges arise due to symmetric geometry (repeating objects) and noise/occlusion and other measurement artifacts. The topic is suitable for bachelor (basic pipeline) and master (advanced processing) projects.
Example-based generative data models (images + 3D scenes). This is a timely and very interesting topic. Can we learn how classes of 3D objects or 2D images are structured from examples? This means, we just show our algorithm a few examples of what we want (for example, 3D models of cars or castles, or paintings of people) and we want the computer to generalize and create similar content automatically. A variety of techniques exist - from non-parametric texture synthesis (which can be implemented in 10 lines of C++ code and can generalize from a single image) to adversarially trained deep networks (which needs only a few more lines of code in Phython+Tensor Flow, however, along with a million example images). Generally, the 3D case is (seems to be?) more challenging than the 2D case in terms of implementation effort. The topic is also suitable for bachelor and master thesis projects.

Computer Vision / Machine Learning Topics

3D object classification in medical CT data. The task is to train a classifier for 3D volume data that recognizes features of medical and/or anatomical relevance in a 3D CT scan. For example, a simple task would be to localize specific bones or organs in a 3D scan. A more complex task would be to recognize medical conditions from example data. Recent advances in computer vision (in particular, representation learning methods such as deep convolutional neural networks) allow us to get quite impressive recognition performance in such tasks. This area could be explored in a bachelor thesis (basics) or a master thesis (more complex recognition tasks).
3D object classification in point cloud scans. Similar idea as above, but using point cloud scans from 3D scanners as data source.
Improving deep learning methods. Can we use ideas from the computer graphics toolbox (structure models and data representations) in order to improve the learning efficiency of deep neural networks? This would be an advanced master thesis topic for students who are a bit theoretically inclined (not afraid of a bit of math).

Interdisciplinary Research

Medical data classification (as discussed above; collaboration with the medical school).
Pattern recognition in atmospheric simulations. The goal is to classify and find flow patterns in atmospheric simulation data. This could be done in a supervised (we have examples of what we are looking for) and unsupervised settings (we want to cluster repetitive structures). This project topic would be offered in collaboration with the Institute for Physics of the Atmosphere. The topic could be formed into a bachelor or master thesis.
Machine learning and deep networks for coarse-graining in multi-scale simulations. The topic says it all - can we learn how to conduct simulations on a very coarse (and easier to compute) level of detail such that the effects on the fine scale are predicted in a qualitatively correct way? There have been some recent, exciting ideas involving deep neural networks proposed in the literature that we could follow up on. This topic would be suitable as a master thesis project; a reasonably strong background in physics or mathematics would be highly recommended.

Further topics

Do you have an idea of your own that is related to visual computing? Or are you interested in a specific direction / topic area of that flavor? Do not hesitate to contact any member of our group for a discussion.

Cornell CIS Program of Computer Graphics

Student Research Opportunities
Graduate Program
Educational Resources
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Community Resources
Publications
What is Computer Graphics?
History & Achievements

Theses and Dissertations

Jeffrey Blaine Budsberg. Pigmented colorants: Dependence on media and time. Master's thesis, Cornell University, Jan 2007.
Jeffrey Michael Wang. Animating the ivory-billed woodpecker. Master's thesis, Cornell University, Jan 2007.
Nasheet Zaman. A sketch-based interface for parametric character modeling. Master's thesis, Cornell University, Jan 2007.
Jeremiah Fairbank. View dependent perspective images. Master's thesis, Cornell University, August 2005.
Vikash R Goel. Analytical centerline extraction and surface fitting using CT scans for aortic aneurysm repair. Master's thesis, Cornell University, May 2005.
Adam Michael Kravetz. Polyhedral hull online compositing system: Texturing and reflections. Master's thesis, Cornell University, August 2005.
Hongsong Li. Theoretical Framework And Physical Measurements Of Surface and Subsurface Light Scattering From Material Surfaces . PhD thesis, Cornell University, May 2005.
Michael Donikian. Iterative adaptive sampling for accurate direct illumination. Master's thesis, Cornell University, August 2004.
Sebastian Pablo Fernandez. Interactive Direct Illumination in Complex Environments . PhD thesis, Cornell University, June 2004.
Henry H. Letteron. Polyhedral hull online compositing system: Reconstruction and shadowing. Master's thesis, Cornell University, August 2004.
John Crane Mollis. Real-time hardware based tone reproduction. Master's thesis, Cornell University, January 2004.
William Adams Stokes. Perceptual illumination components: A new approach to efficient, high-quality global illumination rendering. Master's thesis, Cornell University, August 2004.
Ryan McCloud Ismert. A physical sampling metric for image-based computer graphics. Master's thesis, Cornell University, January 2003.
Jeremy Adam Selan. Merging live video with synthetic imagery. Master's thesis, Cornell University, 2003.
Parag Prabhakar Tole. Two Algorithms for Progressive Computation of Accurate Global Illumination . PhD thesis, Cornell University, 2003.
Steven Berman. Hardware-accelerated sort-last parallel rendering for pc clusters. Master's thesis, Cornell University, 2002.
Randima Fernando. Adaptive techniques for hardware shadow generation. Master's thesis, Cornell University, 2002.
SuAnne Fu. The impossible vase: An exploration in perception. Master's thesis, Cornell University, 2002.
Richard Levy. A scalable visualization display wall presentation system for cluster-based computing. Master's thesis, Cornell University, 2002.
Fabio Pellacini. A Perceptually-Based Decision Theoretic Framework for Interactive Rendering . PhD thesis, Cornell University, 2002.
David Augustus Hart. Direct illumination with lazy visibility evaluation. Master's thesis, Cornell University, 2000.
Daniel Kartch. Efficient Rendering and Compression for Full-Parallax Computer-Generated Holographic Stereograms . PhD thesis, Cornell University, 2000.
Mahesh Ramasubramanian. A perceptually based physical error metric for realistic image synthesis. Master's thesis, Cornell University, 2000.
Corey Theresa Toler. A computer-based approach for teaching architectural drawing. Master's thesis, Cornell University, 2000.
Yang Li Hector Yee. Spatiotemporal sensitivity and visual attention for efficient rendering of dynamic environments. Master's thesis, Cornell University, 2000.
Daniel G. Gelb. Image-based rendering for non-diffuse scenes. Master's thesis, Cornell University, 1999.
Gordon Kindlmann. Semi-automatic generation of transfer functions for direct volume rendering. Master's thesis, Cornell University, 1999.
Andrew Kunz. Face vectors: An abstraction for data-driven 3-d facial animation. Master's thesis, Cornell University, 1999.
Eric Chih-Cheng Wong. Artistic rendering of portrait photographs. Master's thesis, Cornell University, 1999.
Gun Alppay. Fast display of directional global illumination solutions. Master's thesis, Cornell University, 1998.
Richard M. Coutts. Conceptual modeling and rendering techniques for architectural design. Master's thesis, Cornell University, 1998.
James A. Ferwerda. Visual Models for Realistic Image Synthesis . PhD thesis, Cornell University, 1998.
Michael J. Malone. Sketchpad+ conceptual geometric modeling through perspective sketching on a pen-based display. Master's thesis, Cornell University, 1998.
Stephen R. Marschner. Inverse Rendering for Computer Graphics . PhD thesis, Cornell University, 1998.
Liang Peng. The Color Histogram and its Applications in Digital Photography . PhD thesis, Cornell University, 1998.
Moreno A. Piccolotto. Sketchpad+ architectural modeling through perspective sketching on a pen-based display. Master's thesis, Cornell University, 1998.
Bruce J. Walter. Density Estimation Techniques For Global Illumination . PhD thesis, Cornell University, 1998.
Sing-Choong Foo. A gonioreflectometer for measuring the bidirectional reflectance of material for use in illumination computation. Master's thesis, Cornell University, 1996.
Gene Greger. The irradiance volume. Master's thesis, Cornell University, 1996.
Patrick Heynen. Issues in perceptual organization for realistic image synthesis. Master's thesis, Cornell University, 1996.
Jonathan Joseph. Direct volume rendering of irregularly sampled data using voronoi decomposition. Master's thesis, Cornell University, 1996.
Greg Reeves Spencer. Perceptual scaling functions for high dynamic range images. Master's thesis, Cornell University, 1996.
Bretton Wade. Kernel based density estimation for global illumination. Master's thesis, Cornell University, 1996.
David M. Zareski. Parallel decomposition of view-independent global illumination algorithms. Master's thesis, Cornell University, 1996.
Daniel Lischinski. Accurate and Reliable Algorithms for Global Illumination . PhD thesis, Cornell University, 1994.
Christopher R. Schoeneman. A software framework for user interface design. Master's thesis, Cornell University, 1994.
Erin Shaw. Hierarchical radiosity for dynamic environments. Master's thesis, Cornell University, 1994.
Brian Edward Smits. Efficient Hierarchical Radiosity in Complex Environments . PhD thesis, Cornell University, 1994.
Julie O'Brien Dorsey. Computer Graphics Techniques for Opera Lighting Design and Simulation . PhD thesis, Cornell University, 1993.
Xiao Dong He. Physically-Based Models for the Reflection, Transmission and Subsurface Scattering of Light by Smooth and Rough Surfaces, with Applications to Realistic Image Synthesis . PhD thesis, Cornell University, 1993.
Michael C. Monks. Facilitating design with parametric construction methods. Master's thesis, Cornell University, 1993.
Kevin L. Novins. Towards Accurate and Efficient Volume Rendering . PhD thesis, Cornell University, 1993.
Richard S. Pasetto. A biomechanical model of human skin using finite element analysis. Master's thesis, Cornell University, 1993.
Filippo Tampieri. Discontinuity Meshing for Radiosity Image Synthesis . PhD thesis, Cornell University, 1993.
David Baraff. Dynamic Simulation of Non-Penetrating Rigid Bodies . PhD thesis, Cornell University, 1992.
Kathy Kershaw Barshatzky. A generalized texture-mapping pipeline. Master's thesis, Cornell University, 1992.
Ricardo Pomeranz. Mathematical means of representing curves and surfaces of varying spatial frequencies. Master's thesis, Cornell University, 1992.
Peter W. Pruyn. An exploration of three dimensional computer graphics in cockpit avionics. Master's thesis, Cornell University, 1992.
Mark C. Reichert. A two-pass radiosity method driven by lights and viewers position. Master's thesis, Cornell University, 1992.
Stephen H. Westin. Predicting reflectance functions from complex surfaces. Master's thesis, Cornell University, 1992.
Harold R. Zatz. Galerkin radiosity: A higher order solution method for global illumination. Master's thesis, Cornell University, 1992.
Priamos N. Georgiades. Interactive methods for locally manipulating the intrinsic geometry of curved surfaces. Master's thesis, Cornell University, 1991.
Theodore H. Himlan. Spectroradiometric 2d imaging and physical property measurements for validating and improving global illumination simulations. Master's thesis, Cornell University, 1991.
Leonard R. Wanger. Perceiving spatial relationships in computer generated images. Master's thesis, Cornell University, 1991.
Paul H. Wanuga. Accelerated radiosity methods for rendering complex environments. Master's thesis, Cornell University, 1991.
Julie O'Brien Dorsey. Computer graphics for the design and visualization of opera lighting effect. Master's thesis, Cornell University, 1990.
David W. George. A radiosity redistribution algorithm for dynamic environments. Master's thesis, Cornell University, 1990.
Rodney J. Recker. Improved techniques for progressive refinement radiosity. Master's thesis, Cornell University, 1990.
Shenchang Eric Chen. A progressive radiosity method and its implementation in a distributed processing environment. Master's thesis, Cornell University, 1989.
Richard L. Eaton. Explicit geometric constraints. Master's thesis, Cornell University, 1989.
Stuart Feldman. An abstraction paradigm for modeling complex environments. Master's thesis, Cornell University, 1989.
Peter Kochevar. Computer Graphics on Massively Parallel Machines . PhD thesis, Cornell University, 1989.
Wayne Lytle. A modular testbed for realistic image synthesis. Master's thesis, Cornell University, 1989.
Adam C. Stettner. Computer graphics for acoustic simulation and visualization. Master's thesis, Cornell University, 1989.
Filippo Tampieri. Global illumination algorithms for parallel computer architectures. Master's thesis, Cornell University, 1989.
Paul M. Isaacs. Controlling computer generated motion with dynamics, kinematics, and behavior functions. Master's thesis, Cornell University, 1988.
Wei Lu. Curved object modeling and rendering. Master's thesis, Cornell University, 1988.
Holly Rushmeier. Realistic Image Synthesis for Scenes with Radiatively Participating Media . PhD thesis, Cornell University, 1988.
John R. Wallace. A two-pass solution to the rendering equation: A synthesis of ray tracing and radiosity methods. Master's thesis, Cornell University, 1988.
Daniel R. Baum. An efficient radiosity method for dynamic environments. Master's thesis, Cornell University, 1987.
James A. Ferwerda. A psychophysical approach to the aliasing problem in realistic image synthesis. Master's thesis, Cornell University, 1987.
Malcolm Panthaki. Color postprocessing for three-dimensional finite element mesh quality evaluation and evolving graphical workstations. Master's thesis, Cornell University, 1987.
David C. Salmon. Large Change-Of-Curvature Effects in Quadratic Finite Elements for CAD of Membrane Structures . PhD thesis, Cornell University, 1987.
Philip J. Brock. A unified interactive geometric modeling system for simulating highly complex environments. Master's thesis, Cornell University, 1986.
Lisa Maynes Desjarlais. A wave based reflection model for realistic image synthesis. Master's thesis, Cornell University, 1986.
Eric A. Haines. The light buffer: A ray tracer shadow testing accelerator. Master's thesis, Cornell University, 1986.
David S. Immel. A radiosity method for non-diffuse surfaces. Master's thesis, Cornell University, 1986.
Kevin J. Koestner. A wave based reflection model for realistic image synthesis. Master's thesis, Cornell University, 1986.
Gary W. Meyer. Color Calculations for and Perceptual Assessment of Computer Graphic Images . PhD thesis, Cornell University, 1986.
Alan J. Polinsky. A unified interactive geometric modeling system for simulating highly complex environments. Master's thesis, Cornell University, 1986.
Holly E. Rushmeier. Extending the radiosity method to transmitting and specularly reflecting surfaces. Master's thesis, Cornell University, 1986.
Rebecca Slivka. A motion control system for realistic dynamics. Master's thesis, Cornell University, 1986.
Dan V. Ambrosi. Quadric surface modeling for ray tracing. Master's thesis, Cornell University, 1985.
Bruce C. Bailey. Unification of color postprocessing techniques for three-dimensional computational mechanics. Master's thesis, Cornell University, 1985.
Michael F. Cohen. A radiosity method for the realistic image synthesis of complex diffuse environments. Master's thesis, Cornell University, 1985.
Cindy M. Goral. A model for the interaction of light between diffuse surfaces. Master's thesis, Cornell University, 1985.
Jerome F. Hajjar. General-purpose three-dimensional color postprocessing for engineering analysis. Master's thesis, Cornell University, 1985.
Thomas V. Mazzotta. Modeling with scripts: A procedural approach to the construction of geometric models using interactive computer graphic techniques. Master's thesis, Cornell University, 1985.
Donald Woodrow White. Material and geometric nonlinear analysis of local planar behavior in steel frames using interactive computer graphics. Master's thesis, Cornell University, 1985.
Richard J. Carey. Textures for realistic image synthesis. Master's thesis, Cornell University, 1984.
Tao-Yang Han. Adaptive Substructuring and Interactive Graphics for Three-Dimensional Elasto-Plastic Finite Element Analysis . PhD thesis, Cornell University, 1984.
Gary J. Hooper. A system for image synthesis. Master's thesis, Cornell University, 1984.
Renato Perucchio. An Integrated Boundary Element Analysis System with Interactive Computer Graphics for Three-Dimensional Linear-Elastic Fracture Mechanics . PhD thesis, Cornell University, 1984.
David C. Salmon. Improved computer-aided design of cable-reinforced membranes. Master's thesis, Cornell University, 1984.
Channing P. Verbeck. A comprehensive light source description for computer graphics. Master's thesis, Cornell University, 1984.
Hank Weghorst. An image synthesis system with emphasis on ray tracing techniques. Master's thesis, Cornell University, 1984.
Roy A. Hall. A methodology for realistic image synthesis. Master's thesis, Cornell University, 1983.
Harold Hedelman. A data flow approach to composition with procedural models. Master's thesis, Cornell University, 1983.
John D. Hollyday. Refined modeling and interactive display of finite element stresses for cable-reinforced membranes. Master's thesis, Cornell University, 1983.
Gary W. Meyer. Colorimetry and computer graphics. Master's thesis, Cornell University, 1983.
Marcelo Gattas. Large Displacement, Interactive-Adaptive Dynamic Analysis of Frames . PhD thesis, Cornell University, 1982.
Jon H. Pittman. An interactive graphics environment for architectural energy simulation. Master's thesis, Cornell University, 1982.
Kim L. Shelley. Path specification and the use of path coherence in the rendering of dynamic sequences. Master's thesis, Cornell University, 1982.
Bruce A. Wallace. Automated production techniques in cartoon animation. Master's thesis, Cornell University, 1982.
San-Cheng Chang. An Integrated Finite Element Nonlinear Shell Analysis System with Interactive Computer Graphics . PhD thesis, Cornell University, 1981.
Robert L. Cook. A reflection model for realistic image synthesis. Master's thesis, Cornell University, 1981.
Eliot A. Feibush. An interactive computer graphics geometric input and editing system for architectural design. Master's thesis, Cornell University, 1981.
Bruce K. Forbes. Methods for reducing computational requirements in the geometric modeling of planar surfaces and volumes. Master's thesis, Cornell University, 1981.
Tao-Yang Han. A general two-dimensional, interactive graphical finite/boundary element preprocessor for a virtual storage environment. Master's thesis, Cornell University, 1981.
Lynn E. Johnson. An Interactive Method for Development and Evaluation of Reservoir Operating Policies . PhD thesis, Cornell University, 1981.
Michael Schulman. The interactive display of parameters on two- and three-dimensional surfaces. Master's thesis, Cornell University, 1981.
Stuart Sechrest. A visible polygon reconstruction algorithm. Master's thesis, Cornell University, 1981.
Peter N. French. Water Quality Modeling Using Interactive Computer Graphics . PhD thesis, Cornell University, 1980.
John L. Gross. . Design for the Presentation of Progressive Collapse Using Interactive Computer Graphics . PhD thesis, Cornell University, 1980.
Robert B. Haber. Computer-Aided Design of Cable Reinforced Membrane Structures PhD thesis, Cornell University, 1980.
Michael Kaplan. Parallel processing techniques for hidden-surface removal. Master's thesis, Cornell University, 1980.
Wayne E. Robertz. A graphical input system for computer-aided architectural design. Master's thesis, Cornell University, 1980.
Harvey Allison. A three-dimensional graphic input method for architectural design. Master's thesis, Cornell University, 1979.
Brian A. Barsky. A method for describing curved surfaces by transforming between interpolatory and b-spline representations. Master's thesis, Cornell University, 1979.
George H. Joblove. Color space and computer graphics. Master's thesis, Cornell University, 1979.
Douglas S. Kay. Transparency, refraction and ray tracing for computer synthesized images. Master's thesis, Cornell University, 1979.
Thomas A. Mutryn. Nonlinear, inelastic building connections. Master's thesis, Cornell University, 1979.
Richard Rogers. A computer-aided method for shading device design and analysis. Master's thesis, Cornell University, 1979.
Marc E. Schiler. Computer simulation of foliage effects on building energy load calculations. Master's thesis, Cornell University, 1979.
Mark S. Shephard. Finite Element Grid Optimization with Interactive Computer Graphics . PhD thesis, Cornell University, 1979.
Marc S. Levoy. Computer-assisted cartoon animation. Master's thesis, Cornell University, 1978.
Kevin Weiler. Hidden surface removal using polygon area sorting. Master's thesis, Cornell University, 1978.
Peter Atherton. Polygon shadow generation with an application to solar rights. Master's thesis, Cornell University, 1977.
Robert W. Thornton. Interactive modeling in three dimensions through two-dimensional windows. Master's thesis, Cornell University, 1977.
Nicholas H. Weingarten. Computer graphics input methods for interactive design. Master's thesis, Cornell University, 1977.

Publications

Bachelor and Master Theses

We permanently offer proposals for bachelor and master thesis projects in all areas across our research activities (see our publication page) and related subjects which cover most topics in Computer Graphics. The thesis topics are usually specified in cooperation with one of our research assistants and/or Prof. Kobbelt taking into account the student's individual interests and his/her previous knowledge as well as the current research agenda of the Computer Graphics group (e.g. in terms of ongoing academic or industrial cooperations). In order to guarantee a successful completion of the thesis, we usually expect our student to have

taken the "Basic Techniques in Computer Graphics" lecture if you are a bachelor student
extensive knowledge in computer graphics if you are a master student
a good working knowledge of C++

or an equivalent qualification. After a one-month evaluation period you will submit a short research proposal which summarizes the general subject and detailed goals of the thesis. Based on this proposal the thesis will be registered officially. During the following six (four, for a bachelor thesis) months you will work on the various programming tasks, literature search, data acquisition and so on as required by your project. If necessary, you can use the special equipment available at the graphics lab, including a 3D scanner, stereo projection wall, a robot arm, a 3D printer, high quality video and still cameras and other devices. Of course, during your thesis project there will always be a research assistant available who supports you and supervises the progress of the project and who can be asked for help if difficulties arise. Finally the thesis is finished by writing a report, giving a concluding talk about the project and the results, and by providing an archive with full documentation of the programs and other resources that have been created during the project. Please contact us via [email protected] for more information.

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Chair of Computer Graphics and Visualization
TUM School of Computation, Information and Technology
Technical University of Munich

Thesis and Guided Research

We are looking for motivated students who want to pursue their Bachelor / Master thesis or a guided research project at the transition between Deep Learning and Computer Graphics & Visualization. We have topics available in der area of data visualization, ray- and path-tracing, GPU rendering, GPU compute, differentiable rendering, deep learning for computer graphics and visualization. If you are interested, please contact Prof. Westermann directly, by sending your CV and tumonline grade report.

Home > FACULTIES > Computer Science > CSD-ETD

Computer Science Theses and Dissertations

This collection contains theses and dissertations from the Department of Computer Science, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository

Theses/Dissertations from 2024 2024

ASSESSMENT OF AI-GENERATED IMAGES USING COMPUTATIONAL METRICS AND HUMAN CENTRIC ANALYSIS , Memoona Aziz Ms.

Approximation Algorithms for High Multiplicity Strip Packing, Thief Orienteering, and K-Median , Andrew Bloch-Hansen

A Target-Based and A Targetless Extrinsic Calibration Methods for Thermal Camera and 3D LiDAR , Farhad Dalirani

Efficient Algorithms and Parallel Implementations for Power Series Multiplication , Seyed Abdol Hamid Fathi

Understanding Protein Deep Learning Models through Explainability , Zahra Fazel

Using Driver Gaze and On-Road Driving Data for Predicting Driver Maneuvers in Advanced Driving Assistance Systems , Farzan Heidari

Protein-Protein Interaction Prediction , SeyedMohsen Hosseini

Container Migration: A Perfomance Evaluation Between MIGrror AND Pre-copy , Xinwen Liang

UTILIZING MACHINE LEARNING TECHNIQUES FOR DISPERSION MEASURE ESTIMATION IN FAST RADIO BURSTS STUDIES , Hosein Rajabi

Investigating Tree- and Graph-based Neural Networks for Natural Language Processing Applications , Sudipta Singha Roy

Framework for Bug Inducing Commit Prediction Using Quality Metrics , Alireza Tavakkoli Barzoki

Knowledge-grounded Natural Language Understanding of Biomedical and Clinical Literature , Xindi Wang

Theses/Dissertations from 2023 2023

Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis , Amreen Anbar

Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces , Sepehr Asgarian

Improved Protein Sequence Alignments Using Deep Learning , Seyed Sepehr Ashrafzadeh

INVESTIGATING IMPROVEMENTS TO MESH INDEXING , Anurag Bhattacharjee

Algorithms and Software for Oligonucleotide Design , Qin Dong

Framework for Assessing Information System Security Posture Risks , Syed Waqas Hamdani

De novo sequencing of multiple tandem mass spectra of peptide containing SILAC labeling , Fang Han

Local Model Agnostic XAI Methodologies Applied to Breast Cancer Malignancy Predictions , Heather Hartley

A Quantitative Analysis Between Software Quality Posture and Bug-fixing Commit , Rongji He

A Novel Method for Assessment of Batch Effect on single cell RNA sequencing data , Behnam Jabbarizadeh

Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs , Taabish Jeshani

Citation Polarity Identification From Scientific Articles Using Deep Learning Methods , Souvik Kundu

Denoising-Based Domain Adaptation Network for EEG Source Imaging , Runze Li

Decoy-Target Database Strategy and False Discovery Rate Analysis for Glycan Identification , Xiaoou Li

DpNovo: A DEEP LEARNING MODEL COMBINED WITH DYNAMIC PROGRAMMING FOR DE NOVO PEPTIDE SEQUENCING , Yizhou Li

Developing A Smart Home Surveillance System Using Autonomous Drones , Chongju Mai

Look-Ahead Selective Plasticity for Continual Learning , Rouzbeh Meshkinnejad

The Two Visual Processing Streams Through The Lens Of Deep Neural Networks , Aidasadat Mirebrahimi Tafreshi

Source-free Domain Adaptation for Sleep Stage Classification , Yasmin Niknam

Data Heterogeneity and Its Implications for Fairness , Ghazaleh Noroozi

Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System for Efficient, Sustainable, and Self-Adaptive Urban Environments , Elham Okhovat

Evaluating the Likelihood of Bug Inducing Commits Using Metrics Trend Analysis , Parul Parul

On Computing Optimal Repairs for Conditional Independence , Alireza Pirhadi

Open-Set Source-Free Domain Adaptation in Fundus Images Analysis , Masoud Pourreza

Migration in Edge Computing , Arshin Rezazadeh

A Modified Hopfield Network for the K-Median Problem , Cody Rossiter

Predicting Network Failures with AI Techniques , Chandrika Saha

Toward Building an Intelligent and Secure Network: An Internet Traffic Forecasting Perspective , Sajal Saha

An Exploration of Visual Analytic Techniques for XAI: Applications in Clinical Decision Support , Mozhgan Salimiparsa

Attention-based Multi-Source-Free Domain Adaptation for EEG Emotion Recognition , Amir Hesam Salimnia

Global Cyber Attack Forecast using AI Techniques , Nusrat Kabir Samia

IMPLEMENTATION OF A PRE-ASSESSMENT MODULE TO IMPROVE THE INITIAL PLAYER EXPERIENCE USING PREVIOUS GAMING INFORMATION , Rafael David Segistan Canizales

A Computational Framework For Identifying Relevant Cell Types And Specific Regulatory Mechanisms In Schizophrenia Using Data Integration Methods , Kayvan Shabani

Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network , Sareh Soltani Nejad

Smartphone Loss Prevention System Using BLE and GPS Technology , Noshin Tasnim

A Hybrid Continual Machine Learning Model for Efficient Hierarchical Classification of Domain-Specific Text in The Presence of Class Overlap (Case Study: IT Support Tickets) , Yasmen M. Wahba

Reducing Negative Transfer of Random Data in Source-Free Unsupervised Domain Adaptation , Anthony Wong

Deep Neural Methods for True/Pseudo- Invasion Classification in Colorectal Polyp Whole-Slide Images , Zhiyuan Yang

Developing a Relay-based Autonomous Drone Delivery System , Muhammad Zakar

Learning Mortality Risk for COVID-19 Using Machine Learning and Statistical Methods , Shaoshi Zhang

Machine Learning Techniques for Improved Functional Brain Parcellation , Da Zhi

Theses/Dissertations from 2022 2022

The Design and Implementation of a High-Performance Polynomial System Solver , Alexander Brandt

Defining Service Level Agreements in Serverless Computing , Mohamed Elsakhawy

Algorithms for Regular Chains of Dimension One , Juan P. Gonzalez Trochez

Towards a Novel and Intelligent e-commerce Framework for Smart-Shopping Applications , Susmitha Hanumanthu

Multi-Device Data Analysis for Fault Localization in Electrical Distribution Grids , Jacob D L Hunte

Towards Parking Lot Occupancy Assessment Using Aerial Imagery and Computer Vision , John Jewell

Potential of Vision Transformers for Advanced Driver-Assistance Systems: An Evaluative Approach , Andrew Katoch

Psychological Understanding of Textual journals using Natural Language Processing approaches , Amirmohammad Kazemeinizadeh

Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems , Nima Khairdoost

Solving Challenges in Deep Unsupervised Methods for Anomaly Detection , Vahid Reza Khazaie

Developing an Efficient Real-Time Terrestrial Infrastructure Inspection System Using Autonomous Drones and Deep Learning , Marlin Manka

Predictive Modelling For Topic Handling Of Natural Language Dialogue With Virtual Agents , Lareina Milambiling

Improving Deep Entity Resolution by Constraints , Soudeh Nilforoushan

Respiratory Pattern Analysis for COVID-19 Digital Screening Using AI Techniques , Annita Tahsin Priyoti

Extracting Microservice Dependencies Using Log Analysis , Andres O. Rodriguez Ishida

False Discovery Rate Analysis for Glycopeptide Identification , Shun Saito

Towards a Generalization of Fulton's Intersection Multiplicity Algorithm , Ryan Sandford

An Investigation Into Time Gazed At Traffic Objects By Drivers , Kolby R. Sarson

Exploring Artificial Intelligence (AI) Techniques for Forecasting Network Traffic: Network QoS and Security Perspectives , Ibrahim Mohammed Sayem

A Unified Representation and Deep Learning Architecture for Persuasive Essays in English , Muhammad Tawsif Sazid

Towards the development of a cost-effective Image-Sensing-Smart-Parking Systems (ISenSmaP) , Aakriti Sharma

Advances in the Automatic Detection of Optimization Opportunities in Computer Programs , Delaram Talaashrafi

Reputation-Based Trust Assessment of Transacting Service Components , Konstantinos Tsiounis

Fully Autonomous UAV Exploration in Confined and Connectionless Environments , Kirk P. Vander Ploeg

Three Contributions to the Theory and Practice of Optimizing Compilers , Linxiao Wang

Developing Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach , Wumian Wang

Predicting and Modifying Memorability of Images , Mohammad Younesi

Theses/Dissertations from 2021 2021

Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches , Mahtab Ahmed

A Physical Layer Framework for a Smart City Using Accumulative Bayesian Machine Learning , Razan E. AlFar

Load Balancing and Resource Allocation in Smart Cities using Reinforcement Learning , Aseel AlOrbani

Contrastive Learning of Auditory Representations , Haider Al-Tahan

Cache-Friendly, Modular and Parallel Schemes For Computing Subresultant Chains , Mohammadali Asadi

Protein Interaction Sites Prediction using Deep Learning , Sourajit Basak

Predicting Stock Market Sector Sentiment Through News Article Based Textual Analysis , William A. Beldman

Improving Reader Motivation with Machine Learning , Tanner A. Bohn

A Black-box Approach for Containerized Microservice Monitoring in Fog Computing , Shi Chang

Visualization and Interpretation of Protein Interactions , Dipanjan Chatterjee

A Framework for Characterising Performance in Multi-Class Classification Problems with Applications in Cancer Single Cell RNA Sequencing , Erik R. Christensen

Exploratory Search with Archetype-based Language Models , Brent D. Davis

Evolutionary Design of Search and Triage Interfaces for Large Document Sets , Jonathan A. Demelo

Building Effective Network Security Frameworks using Deep Transfer Learning Techniques , Harsh Dhillon

A Deep Topical N-gram Model and Topic Discovery on COVID-19 News and Research Manuscripts , Yuan Du

Automatic extraction of requirements-related information from regulatory documents cited in the project contract , Sara Fotouhi

Developing a Resource and Energy Efficient Real-time Delivery Scheduling Framework for a Network of Autonomous Drones , Gopi Gugan

A Visual Analytics System for Rapid Sensemaking of Scientific Documents , Amirreza Haghverdiloo Barzegar

Calibration Between Eye Tracker and Stereoscopic Vision System Employing a Linear Closed-Form Perspective-n-Point (PNP) Algorithm , Mohammad Karami

Fuzzy and Probabilistic Rule-Based Approaches to Identify Fault Prone Files , Piyush Kumar Korlepara

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic.

Overview: CompSci Research Topics

Algorithms & data structures
Artificial intelligence ( AI )
Computer networking
Database systems
Human-computer interaction
Information security (IS)
Software engineering
Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
An evaluation of machine learning algorithms used for recommender systems in streaming services
A review of approximation algorithm approaches for solving NP-hard problems
An analysis of parallel algorithms for high-performance computing of genomic data
The influence of data structures on optimal algorithm design and performance in Fintech
A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
A comparison of streaming algorithm performance for the detection of elephant flows
A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
Exploring the feasibility of applying information theory to feature extraction in retail datasets.
Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

Applying deep learning algorithms for speech recognition in speech-impaired children
A review of the impact of artificial intelligence on decision-making processes in stock valuation
An evaluation of reinforcement learning algorithms used in the production of video games
An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
An analysis of the ethical and social implications of artificial intelligence-based automated marking
The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
An examination of the use of artificial intelligence in orthopaedic surgery
The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

An analysis of the impact of 5G technology on internet penetration in rural Tanzania
Assessing the role of software-defined networking (SDN) in modern cloud-based computing
A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
Exploring the influence of cloud computing on security risks in fintech.
An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
An evaluation of the challenges and opportunities in 6G wireless network adoption
The role of network congestion control algorithms in improving network performance on streaming platforms
An analysis of network coding-based approaches for data security
Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

An analysis of big data management systems and technologies used in B2B marketing
The impact of NoSQL databases on data management and analysis in smart cities
An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
Exploring the role of data warehousing and business intelligence in global consultancies
An analysis of the use of graph databases for data modelling and analysis in recommendation systems
The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
An examination of the challenges and opportunities of distributed databases in supply chain management
Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
An exploration of how artificial intelligence is changing human-computer interaction patterns in children
An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
Assessing the influence of virtual and augmented reality on consumer purchasing patterns
An examination of the use of gesture-based interfaces in architecture
Exploring the impact of ease of use in wearable technology on geriatric user
Evaluating the ramifications of gamification in the Metaverse
A systematic review of user experience (UX) design advances associated with Augmented Reality
A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Information Security

A bibliometric review of current trends in cryptography for secure communication
An analysis of secure multi-party computation protocols and their applications in cloud-based computing
An investigation of the security of blockchain technology in patient health record tracking
A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
A systematic review of secure data storage solutions used for cloud computing in the fintech industry
An analysis of intrusion detection and prevention systems used in the healthcare sector
Assessing security best practices for IoT devices in political offices
An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
A comparative study of digital signature schemes adoption in property transfers
An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

A study of agile software development methodologies and their impact on project success in pharmacology
Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
A study of the impact of DevOps practices on software development and delivery in the healthcare sector
An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
An investigation of software testing techniques and methodologies for subscription-based offerings
A review of software security practices and techniques for protecting against phishing attacks from social media
An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
Exploring the impact of software development outsourcing on project success in multinational contexts
An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

An array-based optimization framework for query processing and data analytics (Chen, 2021)
Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
Embedding constructural documentation in unit tests (Nassif, 2019)
PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
A state-based approach to context modeling and computing (Yue, 2019)
A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

10 Comments

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

Steps on getting this project topic

I want to work with this topic, am requesting materials to guide.

Information Technology -MSc program

It’s really interesting but how can I have access to the materials to guide me through my work?

That’s my problem also.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

BLOCKCHAIN TECHNOLOGY

I NEED TOPIC

Database Management Systems

Can you give me a Research title for system

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Conferences

This directory contains the ASCII text files for all of the Computer Graphics Thesis and Dissertation Abstracts Compendiums published in *Computer Graphics*. Each of the compendium files are labeled ThesesXX where XX is the year in which that compendium was published (which bears little relationship to when the individual thesis or dissertations were published).

The citations for the five published compendiums (in TeX format) are:

Jeffrey J. McConnell, Dissertation Abstracts in Computer Graphics, {\it Computer Graphics 22}, 2(April 1988), 77-94.
Jeffrey J. McConnell, Dissertation Abstracts in Computer Graphics, {\it Computer Graphics 23}, 2(April 1989), 191-206.
Jeffrey J. McConnell, Dissertation Abstracts in Computer Graphics, {\it Computer Graphics 25}, 3(July 1991), 214-221.
Clifford A. Shaffer, Dissertation Abstracts in Computer Graphics, {\it Computer Graphics 26}, 1(January 1992), 76-96.
Clifford A. Shaffer, Dissertation Abstracts in Computer Graphics, {\it Computer Graphics 27}, 2(September 1993), 86-98.

Students (or their advisors) may submit abstracts to Cliff Shaffer for publication in future compendiums. Abstracts may be submitted by email or by regular mail. Please look at earlier compendiums for the proper information and format to include with your submission. Submit your abstracts to:

Cliff Shaffer Department of Computer Science Virginia Tech Blacksburg, VA 24061 shaffer [at] cs.vt.edu

M.S. and Ph.D. Computer Graphics Theses for 1988
M.S. and Ph.D. Computer Graphics Theses for 1989
M.S. and Ph.D. Computer Graphics Theses for 1990
M.S. and Ph.D. Computer Graphics Theses for 1992
M.S. and Ph.D. Computer Graphics Theses for 1993
Past Projects

This is the official website of the ACM SIGGRAPH Education Committee.
is the ACM Special Interest Group for Computer Graphics and Interactive Techniques.
is the Association for Computing Machinery.

Thesis & Project Topics

List of topics ideas:, current topics, photorealistic rendering for master students, thesis topics for talented computer graphics students.

Contact: Tomáš Iser

Dear Master students, have you successfully passed or are you currently studying the following courses?

NPGR010 – Advanced 3D Graphics for Movies and Games
NPFL138 – Deep Learning

Then we will be happy if you contact Tomáš Iser and we can discuss thesis topics with you concerning photorealistic rendering!

Inverse erosion simulation for optimal object wrapping in 3D printing

Inverse sandblasting for fun and profit.

Contact: Thomas Nindel
Keywords: 3D Printing • Erosion simulation • Master Thesis • Particle system • Software Project
Appearance Fabrication

After printing an object using a Polyjet 3D printer, postprocessing is applyed to create the final surface finish. Sandblasting and tumbling are common postprocessing techniques. In order to not “eat” into the object geometry during this polishing, the printer can add a padding layer around the object. However, due to the object geometry, the abrasive processes removes material in a non-uniform way.

The goal of this thesis is to use standard erosion simulation techniques to find spatially varying, optimal object wraps, such that, after a certain amount of abrasion, the resulting object exactly matches the specified measurements.

Microstructure 3D Printing

Towards steerable surface reflectance.

Contact: Tobias Rittig
Keywords: 3D Printing • Master Thesis

The surface finish greatly impacts the appearance of an object. If it is smooth, light is reflected almost mirror-like whereas roughening surfaces lets them appear more glossy and eventually completely matte. Current 3D printing techniques achieve such high resolutions, that it might become possible to influence the surface roughness and thus the directionally dependent reflectance.

Luongo et al. [2019] demonstrated promising results in their paper on a SLA printer . They encoded directional information in the surface by overlaying it with a random noise pattern that was informed by a model of the curing process inside the 3D printer.

We would like to get a similar understanding about our Prusa SL1 printer and want to extend the amount of control one has over the surface reflectance. In particular, we want to know how subsurface structures filled with air could affect the directionality of the reflectance? Can multi-material printing allow for more variety in the effects one can replicate on a single surface together?

Past Topics

Mobile app for object detection in video, discover the objects in museum virtual tour.

Contact: Elena Šikudová
Keywords: Bachelor Thesis • Computer Vision • Deep Learning • ISP (NPRG045) • Mobile app • taken

Process a video stream on a mobile phone to detect objects in a museum. Identification is possible through a lightweight neural network. The model should offer sufficient accuracy and speed in recognizing different types of exhibits (size, material) in diverse conditions (lighting, location, background, viewing angles). At the same time, it should consider the limitations of the mobile device, particularly the limited computing power, memory, and battery capacity.

Illustration taken from https://viso.ai/wp-content/uploads/2022/06/mediapipe-object_tracking_android_gpu.gif https://i.giphy.com/uULru6cnBO4gM.webp

Weather & cloud classification from webcam images

What clouds are we looking at.

Keywords: Bachelor Thesis • Deep Learning • Image Processing • ISP (NPRG045) • sky • taken
Sky Modelling

Weather webcams continuously take pictures of the sky and landscape for meteorologists and the general public to get an impression of the current weather situation. They are a great tool to verify the forecast and see the local deviation.

For this project we would like to classify the types of clouds that are visible in the images and what the weather situation currently is. Is it sunny? Are we seeing rain clouds? You will be using machine learning (eg. auto-encoders) and dimensionality reduction techniques (eg. t-SNE, PCA) to find clusters in the images. These groupings mean that similar clouds / weather conditions are depicted in the images. You will look at self-supervised techniques in order to minimize the amount of manual labelling necessary.

We have a large collection (16+ million) of webcam images from the Czech Meteorological Service (CHMI) that covers 98 locations over 18+ months in 5 minute intervals. This dataset can be a valuable asset to the research community, if there is proper annotation and meta-data for each image available. Your thesis will contribute to this list of additional knowledge we have over the images and help researchers to train better models with this data in the future.

Camera model for light-dark-adaptation of the human eye

Keywords: Bachelor Thesis • Global Illumination • taken

In architecture visualization, physically-based rendering allows for the accurate prediction of the irradiance levels in different parts of the building. This helps architects, for example, to maximize the use of natural light in their designs. Current rendering systems, however, do not model the dynamics of the human visual systems when it comes to light-dark-adaptation. This is important in the design of areas with brightness transitions, like entrance areas and hallways.

For example, consider a highway tunnel: To allow for a more graceful brightness-adaptation when entering, tunnel lights are more powerful around the entrance than they are further in. The goal of this thesis is the design and implementation of a physiologically correct camera model for light-dark adaptation.

Generating textures with a GAN

Can gans learn to generate good textures via differentiable rendering.

Contact: Martin Mirbauer
Keywords: Bachelor Thesis • Deep Learning • Machine Learning • optimisation • taken • texture
AI for Content Creation

Differentiable/inverse rendering can find input parameters such as camera position, object’s shape, or its texture from a target image. Using a simple differential rasteriser, available e.g. in PyTorch3D, the goal is to train an image-based Generative adversarial network (GAN) to produce textures, which (after applying to a known object shape and rendering) produce plausible appearance of the object. The resulting GAN+rasteriser network can be trained on a large dataset of textured 3D models of furniture.

Ultimately, the network should be able to create a texture for a 3D model that does not have a texture nor its mapping to the 3D object’s surface – for this an existing unwrapping tool will be used.

(intended as an implementation+experimental thesis)

HDR image segmentation

Where's the sky.

Keywords: Deep Learning • HDR • ISP (NPRG045) • taken

Task: Build a modular system that takes a big resolution HDR image and semantically segments it. Already existing networks can be modified and used. The number of semantic classes must include but is not limited to sky (clouds possibly), buildings, vegetation. Preferred tools: Python or Matlab

Environment Map Capture

Hack a 360 degree camera.

Keywords: app development • camera • hacking • hardware • ISP (NPRG045) • sky • taken

In Rendering spherical (360°), high dynamic range ( HDR ) images are used as backgrounds and for lighting 3D objects with a realistic light source. For most cases, outdoor captures are used to mimic a realistic sky and sun illumination.

Traditionally, a capture setup for these images consists of a heavy tripod with a panoramic head that can rotate a high-end DSLR around its central point. This gear allows for capturing several pictures in different directions with several exposures that are all taken from one single point. Later in post-processing step, these get stitched to a single panoramic and HDR image. We possess such a setup and use it frequently to capture images of clouds.

Unfortunately all this gear is very heavy and bulky to carry around. We are looking for a more portable solution, that can be setup quickly and delivers not as precise, but reasonable images. For this we bought a state-of-the-art, 360°, pocket camera that is easy to setup and can be controled wirelessly. The factory app does not allow for an easy capture of HDR images though, which is why we started looking for a custom software solution. Initial tests on reverse-engineering the communication protocol showed it is possible to communicate with the camera using a few tricks.

We would like to develop a platform-independent (mobile/web) app that can talk to the camera and capture time lapses as well as exposure-varying sequences. This would allow for the camera to be taken on daily trips and capture environment images wherever you are in the background. This data is supporting machine-learning efforts in our other sky related projects. This project is intended as an individual software project (NPRG045).

Document analysis

Cut the pdf.

Keywords: Bachelor Thesis • Image analysis • ISP (NPRG045) • OCR • taken

Task: Build a modular system that takes a PDF of a scanned journal, extracts pictorial and textual data, performs an analysis of the various data types, and saves the results for later statistical analysis. Preferred tools: Python or Matlab

Intelligent tilt-shift transform

Create the little world.

Keywords: Deep Learning • GIMP • Image Processing • ISP (NPRG045) • taken

Apply an intelligent tilt-sift transform on images to get a realistic picture of “the little world”. Use DL for depth estimation and apply blur filter accordingly. Standalone app or GIMP plugin.

Optic disc detection

Eye is the window to the disease.

Keywords: Bachelor Thesis • Deep Learning • ISP (NPRG045) • Master Thesis • taken
Medical Imaging

Detect optic disc in retinal images. Use CV methods, compare them with deep learning results.

Eye tracking vs. deep net activation

Do the nets see what we see.

Keywords: Bachelor Thesis • Deep Learning • ISP (NPRG045) • taken

Is there a difference in the visual activation in humans and in deep networks when selecting the category of an object?

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How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

*Updated August 1, 2024
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Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2024-2025

Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

Machine learning driven design
Generative models for structured discrete objects
Approximate inference in probabilistic models
Accelerating solutions to partial differential equations
Innovative uses of automatic differentiation
Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

Available for Fall 2024 IW advising, only

Research Areas: Formal methods, programming languages, compilers, computer security.
Software verification (for which taking COS 326 / COS 510 is helpful preparation)
Game theory of poker or other games (for which COS 217 / 226 are helpful)
Computer game-playing programs (for which COS 217 / 226)
Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487).
Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages.
Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
Any topic in theoretical computer science.

David August, Room 221

Not available for IW or thesis advising, 2024-2025

Research Areas: Computer Architecture, Compilers, Parallelism
Containment-based approaches to security: We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system. Let's explore ways to use containment to solve real problems. Expect to work with corporate security and technology decision-makers.
Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures. Let's find ways to realize this parallelism.
Any other interesting topic in computer architecture or compilers.

Mark Braverman, 194 Nassau St., Room 231

Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
Topics in computational and communication complexity.
Applications of information theory in complexity theory.
Algorithms for problems under real-life assumptions.
Game theory, network effects
Mechanism design (could be on a problem proposed by the student)

Bernard Chazelle, 194 Nassau St., Room 301

Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms.
Natural algorithms (flocking, swarming, social networks, etc).
Sublinear algorithms
Self-improving algorithms
Markov data structures

Danqi Chen, Room 412

My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
Representation learning for text and knowledge bases
Pre-training and transfer learning
Question answering and reading comprehension
Information extraction
Text summarization
Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)
Research Areas: Machine learning

Jia Deng, Room 423

Research Areas: Computer Vision, Machine Learning.
Object recognition and action recognition
Deep Learning, autoML, meta-learning
Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

Research Areas: Software engineering; software engineering education.
Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
Using RL algorithms to applications in science and engineering.
Emergent behavior of RL algorithms on high-fidelity robotic simulators.
Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

Available for single-semester IW, 2024-2025. No longer available for senior thesis advising.

Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
Quantitative approaches to theoretical linguistics questions
Extensions and interfaces for WordNet (English and WN in other languages),
Applications of WordNet(s), including:
Foreign language tutoring systems,
Spelling correction software,
Word-finding/suggestion software for ordinary users and people with memory problems,
Machine Translation
Sentiment and Opinion detection
Automatic reasoning and inferencing
Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424

Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

Networking and telecommunications
Learning, perception, and intelligence, artificial and otherwise;
Human-computer interaction and computer-supported cooperative work
Online education, especially in Computer Science Education
Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308

Research Areas: Distributed systems, security, networking
Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
Develop a technique for understanding AI models
Design a AI model that is interpretable by design
Build a paradigm for detecting and/or correcting failure points in an AI model
Analyze an existing AI model and/or dataset to better understand its failure points
Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
Develop a software package for explainable AI
Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

Research Areas: Formal methods, program analysis, logic decision procedures
Finding bugs in open source software using automatic verification tools
Software verification (program analysis, model checking, test generation)
Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409

Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
Implementation and algorithm engineering for control, reinforcement learning and robotics
Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
Optical Neural Networks
Hardware-in-the-loop Holography
Zero-shot and Simulation-only Learning
Object recognition in extreme conditions
3D Scene Representations for View Generation and Inverse Problems
Long-range Imaging in Scattering Media
Hardware-in-the-loop Illumination and Sensor Optimization
Inverse Lidar Design
Phase Retrieval Algorithms
Proximal Algorithms for Learning and Inference
Domain-Specific Language for Optics Design

Peter Henderson , 302 Sherrerd Hall

Research Areas: Machine learning, law, and policy

Kyle Jamieson, Room 306

Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
See other topics on my independent work ideas page (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
Software visualization tools for education
Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
Application-oriented languages, scripting languages.
Tools; user interfaces
Digital humanities

Zachary Kincaid, Room 219

Available for Fall 2024 single-semester IW advising, only

Research areas: programming languages, program analysis, program verification, automated reasoning
Independent Research Topics:
Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
Design a domain-specific programming language, or prototype a new feature for an existing language.
Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Research area: theory

Aleksandra Korolova, 309 Sherrerd Hall

Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Pravesh Kothari, Room 320

Research areas: Theory

Amit Levy, Room 307

Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
Distributed hardware testing infrastructure
Second factor security tokens
Low-power wireless network protocol implementation
USB device driver implementation

Kai Li, Room 321

Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
Fast communication mechanisms for heterogeneous clusters.
Approximate nearest-neighbor search for high dimensional data.
Data analysis and prediction of in-patient medical data.
Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
Explore new statistical retrieval models for document retrieval and question answering.
Apply AI in various fields.
Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
Any interesting project related to AI, machine learning, and data analysis.

Lydia Liu, Room 414

Research Areas: algorithmic decision making, machine learning and society
Theoretical foundations for algorithmic decision making (e.g. mathematical modeling of data-driven decision processes, societal level dynamics)
Societal impacts of algorithms and AI through a socio-technical lens (e.g. normative implications of worst case ML metrics, prediction and model arbitrariness)
Machine learning for social impact domains, especially education (e.g. responsible development and use of LLMs for education equity and access)
Evaluation of human-AI decision making using statistical methods (e.g. causal inference of long term impact)

Wyatt Lloyd, Room 323

Research areas: Distributed Systems
Caching algorithms and implementations
Storage systems
Distributed transaction algorithms and implementations

Alex Lombardi , Room 312

Research Areas: Theory

Margaret Martonosi, Room 208

Quantum Computing research, particularly related to architecture and compiler issues for QC.
Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307

Available for Spring 2025 single-semester IW, only

Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
Assessing the effects of government policies, both in the public and private sectors.
Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
Developing new tools to improve government processes and offer policy alternatives.

Mae Milano, Room 307

Local-first / peer-to-peer systems
Wide-ares storage systems
Consistency and protocol design
Type-safe concurrency
Language design
Gradual typing
Domain-specific languages
Languages for distributed systems

Andrés Monroy-Hernández, Room 405

Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
Research interests:developing public-interest socio-technical systems. We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems. We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

Research areas: Distributed systems, high-throughput computing, computer science/engineering education
Expansion, improvement, and evaluation of open-source distributed computing software.
Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

Research areas: Natural Language Processing, Reinforcement Learning
Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
Transfer learning/generalization in NLP
Techniques for generating natural language
Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

* Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in: * Explicit constructions of better vertex expanders and/or unique neighbor expanders. * Construction deterministic or random high dimensional expanders. * Pseudorandom generators for different problems. * Topics around the quantum PCP conjecture. * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

2. Theory informed practical implementations of algorithms Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest: * Streaming algorithms. * Numeric linear algebra. * Property testing. * Parallel / Distributed algorithms. * Online algorithms. 3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
Possible research topics include:

1. Quantum algorithms and circuits:

i. Design or simulation quantum circuits implementing quantum algorithms.
ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2. Information Based Complexity:

i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case).
ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
iii. Necessary and sufficient conditions for tractability of Weighted problems.
iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309

Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
Implementation and application of algorithms to infer evolutionary processes in cancer
Identifying correlations between combinations of genomic mutations in human and cancer genomes
Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
Constructing a new method to explain a model / create an interpretable by design model
Analyzing a current model / dataset to understand bias within the model/dataset
Proposing new fairness evaluations
Proposing new methods to train to improve fairness
Developing synthetic datasets for fairness / interpretability benchmarks
Understanding robustness of models

Ran Raz, Room 240

Research Area: Computational Complexity
Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
Investigate approaches to robust 3D scan matching
Model and compensate for imperfections in 3D printing
Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
Gamification of neuroscience (EyeWire 2.0)
Semantic segmentation and object detection in brain images from microscopy
Computational analysis of brain structure and function
Neural network theories of brain function

Jaswinder Pal Singh, Room 324

Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
Develop a startup company idea, and build a plan/prototype for it.
Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
Study and develop methods to infer insights from data in different application areas, from science to search to finance to others.
Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
Whole and cross-genome methods for predicting protein function and protein-protein interactions.
Analysis and prediction of biological networks.
Computational methods for inferring specific aspects of protein structure from protein sequence data.
Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
Implement and evaluate one or more gene expression analysis algorithm.
Develop algorithms for assessment of performance of genomic analysis methods.
Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
Independent Research Topics: Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

Available for Fall 2024 single-semester IW, only

Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
Design and implement computer visualizations of algorithms or data structures.
Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc.
Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

data structures
streaming algorithms
design and analyze data structures / streaming algorithms
prove impossibility results (lower bounds)
implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

Opportunities outside the department.

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science. However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.) To do a project with an adviser outside of computer science you must have permission of the department. This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

Documentation of historic structures
Cyber physical systems for structural health monitoring
Developing virtual and augmented reality applications for documenting structures
Applying machine learning techniques to generate 3D models from 2D plans of buildings
Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

Consumer protection
Content regulation
Competition law
Economic development
Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

Design of reliable hardware systems
Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

Internet security and privacy
Social Networks
Privacy technologies, anonymous communication
Network Science
Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman, Psychology Dept, PNI 137

Research Areas: Memory, the brain and computation
Lab: Princeton Computational Memory Lab

Potential research topics

Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG)
Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The Campus as Lab program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its website .

An example from Computer Science could include using TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a live energy heatmap of campus .

Other potential projects include:

Apply game theory to sustainability challenges
Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

Instrument Princeton's Green (HPCRC) data center
Investigate power utilization on an processor core implemented in an FPGA
Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
Other topics in parallel computer architecture or operating systems

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Birgit Nierula

Research Topics of the Computer Vision & Graphics Group

Seeing, modelling and animating humans.

Realistic human modelling is a challenging task in Computer Vision and Graphics. We investigate new methods for capturing and analyzing human bodies and faces in images and videos as well as new compact models for the representation of facial expressions as well as human bodies and their motion. We combine model-based and image-and video based representations with generative AI models as well as neural rendering.

Read more about current research projects in this field.

Scenes, Structure and Motion

We have a long tradition in 3D scene analysis and continuously perform innovative research in 3D capturing as well as 3D reconstruction, ranging from highly detailed stereo as well as multi-view images of static objects and scenes, addressing even complex surface and shape properties, over monocular shape-from-X methods, to analyzing deforming objects in monocular video.

Computational Imaging and Video

We perform innovative research in the field of video processing and computational video opening up new opportunities for how dynamic scenes can be analyzed and video footage can be represented, edited and seamlessly augmented with new content.

Learning and Inference

Our research combines computer vision, computer graphics, and machine learning to understand images and video data. In our research, we focus on the combination of deep learning with strong models or physical constraints in order to combine the advantages of model-based and data-driven methods.

Augmented and Mixed Reality

Our experience in tracking dynamic scenes and objects as well as photorealistic rendering enables new augmented reality solutions where virtual content is seamlessly blended into real video footage with applications e.g. multi-media, industry or medicine.

Previous Research Projects

We have performed various research projects in the above fields over the years.

Read more about older research projects here.

Faculty of Informatics
Institute of Visual Computing & Human-Centered Technology
Research Unit of Computer Graphics

Topics for Projects and Theses

Betreuung/Supervision

For more information about diploma theses , projects , and bachelor theses please see the respective pages - this page just lists topics for these projects.

The best way to obtain a topic for a Computer Science Project, a Bachelor Thesis or a Diploma Thesis is to contact the supervisor of one of the topics listed below by email. For other topics, contact the heads of the main research directions best fitting your interest listed in the following.

The Computer Science Projects may also be completed in cooperation with a company. Such external projects have to conform to a number of guidelines .

Stay up-to-date with new topics by subscribing to the RSS-Feed .

Main research directions

Visualization (contact: Manuela Waldner , Renata Raidou , or Eduard Gröller ) Visualisierung im Allgemeinen, im Speziellen: Volumenvisualisierung, Informationsvisualisierung, Visual Analytics, Illustrative Visualisierung, Medizinische Visualisierung.
Rendering and Modeling (contact: Michael Wimmer ) Real-Time Rendering, Urban Visualization, Procedural Modeling, Point-Based Reconstruction, Modeling and Rendering, Virtual Reality, Augmented Reality, Perceptual Studies using Eye Tracking, ...
Other topics Topics not fitting in one of these three main research directions.
VRVis Außerdem gibt es auch die Möglichkeit, Praktika, Bachelorarbeiten und Diplomarbeiten am Forschungszentrum VRVis zu absolvieren.

Abkürzungen

PR = Praktikum, BA = Bachelorarbeit, DA = Diplomarbeit, PR/BA/DA = Praktikum, Bachelorarbeit oder Diplomarbeit, der Arbeitsumfang wird entsprechend angepasst.

Rendering and Modeling

Visualization Group

Abgeschlossene Praktika und Diplomarbeiten

Liste abgeschlossener Diplomarbeiten, Bachelorarbeiten und Praktika

Breadcrumbs

TU Wien Institute of Visual Computing & Human-Centered Technology Favoritenstr. 9-11 / E193-02 A-1040 Vienna Austria - Europe

Tel. +43-1-58801-193201

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How to write a thesis

Advisor's Agreement
Informationen zu Analyse eines Forschungsthemas

Inhaltsverzeichnis

Section 1: Basics for Success
Subsection 2.1: Parts of a Student Thesis
Subsection 2.2: Structure of the Thesis
Subsection 3.1: Use of Fonts
Subsection3.2: Page Layout
Subsection 3.3: Recurring Elements
Subsection 4.1: Citation Style (with Square Brackets)
Subsection 4.2: Bibliography
Subsection 4.3: Citation Techniques
Subsection 5.1: Search Engines (Selection)
Subsection 5.2: Techniques
Subsection 5.3: Reading a Source I (Papers)
Subsection 5.4: Reading a source II (Longer Works)
Subsection 5.5: How to rate a source
Section 6: Writing Style
Section 7: Best Practices
Section 8: Time Management
Section 9: Hints on the practical part/Implementation
Section 10: Procrastination Techniques
Subsection 11.1: The two types
Subsection 11.2: Question and Answer Session
Subsection 11.3: Miscellaneous
Section 12: Thesis Evaluation Criteria
Section 13: Recommended Literature (German only)

1 Basics for Success

The following factors make a good scientific work:

clear problem/objective
logical, structured layout accurate
handling of terms, plausibility comprehensible reasoning (through clean structuring, argumentation, references, objectivity, etc.)
content and formal accuracy
systematic approach and critical questioning of results
interesting presentation of facts (also through good illustrations, etc.)

back to table of contents

2 Formalities

2.1 parts of a student thesis.

It is best to use the templates (Word and LaTeX) provided by the department, especially to automatically generate the title page, declaration of independence, and all directories. The thesis must be written according to the following structure:

Title page with the following contents: name of the university/faculty/institute/department, name of the university professor, type of work, topic, your own name, date and place of birth, name of the supervisor, date of submission
Task description: Take over the text of the task description unchanged and in full
Declaration of independence
Summary/Abstract (half a page each): It must stand alone and provide an overview of the entire work (including results). Do not use or introduce abbreviations! No references to parts of the work!
Table of contents: Listing no deeper than level 3
Symbol/formula/abbreviation directory (optional): Used symbols and terms can be collected here in one place
The actual text of the work : The first chapter (Introduction) begins here and the page numbering. The chapters are numbered decimally (do not use more than 4 levels of structure, better 3)
Bibliography
List of Figures (optional)
List of Tables (optional)
Glossary (optional)
Appendix (optional, alphabetical numbering of chapters)

2.2 Structure of the Thesis

The IMRAD ( I ntroduction, M ethods, R esults a nd D iscussion) schema is a common standard. Proposed structuring:

Chapter 1: Introduction Motivate the problem in the application context, restate the task in your own words, and give an overview of the work.

Chapter 2: Related Works Show who has already dealt with the topic or related topics, what solutions have been described, and what the connection is to your own work.

Chapter 3: Fundamentals Introduction of mathematical, technical, algorithmic, or other basic knowledge necessary to understand the work.

Chapter 4ff.: Methodology and Implementation Main part of the work - first describe the concept, then the realization.

Chapter 4ff.+1: Results Objectively present the results and describe how exactly they were obtained. Draw attention to peculiarities.

Chapter 4ff.+2: Discussion Discuss the implemented solution based on the results. Understand and explain peculiarities. Based on this, work out the pros and cons (of the developed method). Under certain circumstances, the chapters "Results" and "Discussion" can be summarized in a single chapter.

Chapter 4ff.+3: Summary Brief summary and evaluation, results/solutions are condensed into a conclusion.

Chapter 4ff.+4: Outlook The outlook shows meaningful possibilities for further processing the material. Chapters "Summary" and "Outlook" can be summarized in a single chapter under certain circumstances.

In Chapter 7↓ (Best Practices), you will learn more about the contents of each chapter.

3 Formatting

It is best to use one of the chair templates. You can find these at: tu-dresden.de/ing/informatik/smt/cgv/studium/materialien

3.1 Use of Fonts

Body text in serif font creates good readability. Headings can look nice in sans-serif bold font. Recommended font sizes are:

Body text: 11pt
Headings (h1-h2-h3): 18pt — 14pt — 12pt

Font Styles

Emphasis can be achieved through italics , bold , ALL IN CAPITAL LETTERS, small caps, and font family. However, do not use several AT ONCE ! Underlining is prohibited, bold and capital letters should be used sparingly! For source code, a monospace font is recommended (e.g., Courier New). Free variables and free function names should be italicized, whereas characters with fixed meanings should NOT be italicized - these are well-known functions (e.g., sin/cos, lim), constants (e.g., Euler's number e, the constant π , or user-selected constant symbols), and unit symbols (e.g., m/s, kHz). Mathematical variable names never consist of more than one letter! If more characters are needed for precision, they may appear in subscript (also not italicized). Examples of font formatting in formulas:

Incorrect: func(x) = πxmax*sin(2x)
Correct: f(x) = πxmax⋅sin(2x) Note 1

Italicized text can also be used to indicate (self-introduced) technical terms and foreign words and bold can be used to indicate keywords. Furthermore, italics are used when referring to titles of independent work (monographs, books).

Quotation Marks

Use quotation marks “” not to emphasize words, but exclusively to quote text passages or when referring to non-independent literature (articles from conference proceedings or journals, essays, book sections).

3.2 Page Layout

The work should be printed double-sided . Leave margins for notes. A good layout has an outer and inner margin of 2.5cm each, as well as a top margin of 3cm and a bottom margin of 2cm. The top margin leaves room for a 1cm high header, which bears the title of the current chapter and the current page number on the outside. The page numbers begin on the right (odd) page with the introduction. Chapter beginnings are always on a right (odd) page. If necessary, the preceding (left) page remains blank.

3.3 Recurring Elements

are to be labeled according to the schema Fig.␣<Chapter number>.<Sequential number>:␣<Title> . This refers to captions that are placed below the figure. Find a meaningful title. The figure must be self-explanatory along with its title. Pay attention to high quality, and prefer vector graphics. Also, ensure that each part of the image is large enough and that the captions are large enough for good readability.

are to be labeled according to the scheme Table␣<Chapter number>.<Sequential number>:␣<Title> . This refers to headings that are placed above the table. As with figures, a meaningful title is important.

Source codes

are to be labeled according to the schema Listing␣<Chapter number>.<Sequential number>:␣<Title>,␣<Filename> . For short code passages, captions can be used; otherwise, use headings .

for annotations or translations. If the footnote refers to a word, the footnote mark immediately follows it. If it refers to a sentence, it is placed immediately after the period. Use footnotes sparingly. Consider how the content can be incorporated into the text in a meaningful way.

4 Citations

All sources, including texts, images, surveys, links, etc., must be cited. The author and the source of the content (books, papers, slides, web pages, etc.) should be identified in the bibliography. The reader must have a complete overview of the sources used and their origin, especially for non-printed media. Permission from the author is not required.

4.1 Citation Style (with Square Brackets)

A citation is marked in the text to refer to the respective source. Depending on the field of study or type of work, it varies and appears as a numerical reference (IEEE style) or alphanumeric reference (AMS style, authorship trigraph). The following rules should be used in the final thesis (or just use the CGV template):

1 author: the first three letters of the surname + year of publication... e.g. [Mei05]
2 - 4 authors: the initial letters of the surnames (in the order they appear in the paper) + year of publication... e.g. [AB10], [XYZ15], [STUV12]
> 4 authors: the initials of the first 3 surnames, then a "+" sign, then the year of publication... e.g. [XYZ+04]
If there are multiple works by an author in the same year, lowercase letters are appended to the year... e.g. [Mei05a], [Mei05b]
If there are multiple sources for a text passage, they are separated by commas within a square bracket... e.g. [Mei05, XYZ+04]
If referring to a specific part of the source, this can be indicated in the reference list or citation bracket by specifying the page number... e.g. [Mei05, p.99].

4.2 Bibliography

In the numerical variant, sources in the bibliography are sorted according to their first appearance in the text. In the alphanumeric variant, they are sorted according to the contents of the bracket. The structure of an entry in the bibliography differs slightly depending on whether it is a conference paper or a book (chapter) (due to the different information to be provided). For example, a conference paper is structured as follows (according to the CGV scheme):

[XYZ99] LastnameInCapitalLetters1, ␣ Firstname1 ␣ ; ␣ Lastname2, ␣ Firstname2 ␣ ; ␣ Lastname3, ␣ Firstname3: Title of the Paper. ␣ In: ␣ Proceedings of the italicized conference on something Vol. X(Y), ␣ Location, ␣ Year, ␣ pp. <PageX-PageY>

When citing sources from the web, always include the URL/link and the date of retrieval. If possible, archive a copy of the internet source. Surveys/interviews are also sources. In this case the following information should be recorded:

[Mei15] ␣ Lastname1, ␣ Firstname1 (Interviewee) ␣ ; ␣ Lastname2, ␣ Firstname2 ␣ (Interviewer): ␣ Title of the Interview. ␣ Telephone/Personal/Written Interview/Conversation/Survey. ␣ Location, ␣ Date, ␣ Time

4.3 Citation Techniques

Exact (direct) quotation Useful for definitions and statements that could not be described more accurately. Placed in quotation marks if it is not longer than 4 lines. Otherwise, the entire quote block is indented (without quotation marks). The source is placed immediately after the quote in the text (Harvard method). Exact quotes must be honestly and accurately reproduced, without any rewording or distortions of the meaning. Text highlights or errors in the original text must also be reproduced (these can be marked with [sic] - Latin for "thus" or "really so"). Double quotation marks in the quote are replaced with single ones. Omissions are indicated by [...] (make sure that this does not distort the meaning of the original). Adaptations to the original, e.g. grammatical phrasing, should be written directly in square brackets at the relevant point - and also if words are added or highlights are made (write a clear comment in the square brackets, e.g. [emphasis added by the author]). Exact quotes should be used sparingly!

Paraphrased (indirect) quotation Here, the content of sentences or paragraphs from the original literature is reproduced in the same meaning as in the original text. The strict rules of exact quotation do not apply, but thoughts may not be altered, omitted, or added. In the sentence/paragraph that encompasses the content of the external source, there must be a "according to," "as per," etc. The citation bracket is placed before the period if the paraphrased quote only goes over one sentence. If the paraphrased quote is several sentences long, the citation bracket is placed after the period of the last sentence of the quote.

Figure citation Figures from external sources must be reproduced unchanged or the changes must be clearly indicated. The source reference belongs at the end of the figure caption (in square brackets). If a foreign illustration was used as a template for your own illustration, it also requires an indication, e.g. "according to [XY01, Fig. X.Y2]."

"Second-hand" quotes are those in which a source is cited, whose content represents a quote from the actual subject matter. Such quotes should be avoided! An exception is the unavailability of the original source, which is a rare case. A "second-hand" quote must be marked with the note "cited in" e.g. "[MXY+01] cited in [XY01]" (in this case, [MXY+01] would be the original source and [XY01] the cited source). Both works must be listed in the bibliography.

Good style is to mention the authors of an external source by name - if there are more than two authors, use the form "SurnameOfFirstAuthor et al. " - however, it is also possible to use the citation bracket directly for this purpose. Examples:

Direct quote:

okay : In the study by [MYZ+01], it is described that these are " [...] crucial factors."

better : Meier et al. describe in their study that these are " [...] crucial factors." [MXY+01]

Indirect quote:

okay : According to [MS01], there are various crucial factors.

better : According to Meier and Schmidt, there are various crucial factors [MS01].

not so good : There are various crucial factors for this (see [MS01]).

5 Literature Research

Valuable sources should be used, such as papers from well-known conferences with review systems or those that have been frequently cited. Printed sources are generally more credible and should be preferred over web sources such as forums, tutorials, or Wikipedia. Wikipedia can be a first point of reference, but it is scientifically controversial - it's better to search for "proper" literature from there. General problems include:

usually only one paper is given by the advisor
lack of overview over the field
there is a lot of literature and much of it is poor
there is not enough time for exhaustive research.

The strategy is to:

read the given paper completely (sometimes multiple times) and write down important technical terms (buzzwords)
read related work again to develop a sense of the field
examine related works (often it's enough to read the abstract and results/discussion to get an impression)
divide literature into relevant current works, overview articles (STARs) as a source pool, and older works (good candidates for backward search).

These resources (STARs, old works, buzzwords, names of major conferences) are the basis for further research. Where should one look?

5.1 Search engines (selection)

ACM Digital Library http://dl.acm.org
IEEE Xplore Digital Library http://ieeexplore.ieee.org
Google Scholar http://scholar.google.com
CiteSeer http://citeseerx.ist.psu.edu/index
Microsoft Academic Search http://academic.research.microsoft.com/

The SLUB has a subscription to many online portals, so you can download listed papers or books for free. However, this can only be done from the TUD IP address range (Uninetz). If you want to access it from home, you can use OpenVPN .

5.2 Techniques

Finding new works through older ones search for the older publication. Then show the works that cite the older work - this option is usually called "Referenced by" / "Cited by". Then research the displayed (new) works.

Finding new works through buzzwords enter buzzwords in the search engine. Sort by publication date and number of citations. Scan the first hits (possibly new buzzwords will emerge). Possibly search for research groups that are known in the specific field and search their publication directories.

Finding new works through conferences after finding relevant research areas and keywords, you can search for major conferences in these fields. Look at the lists of publications and then research them in more detail.

Finding new works through well known authors search for publication lists of authors who are frequently mentioned in the relevant field or whose names frequently appear in the bibliography. Note the order of authorship in the header of a paper. The first-named author is the author (of the largest part) of the work. The far right typically indicates the head of the department/institute/chair as the supervisor of the work.

5.3 Reading a Source I (Papers)

Begin with the Abstract and Results/Discussion section to quickly access the essential information. Ask the following questions about the source being examined:

What are the core contributions? (They are usually at the end of the Introduction)
What relevance do the core contributions have for your own work?
What results from cited publications are relevant to serve as justification for core contributions in other papers? Compile a list of these cited works and follow up on them.
What terminologies were introduced for the relevant core contributions? Are these terms interesting for your task? Can you expand your search queries using the new terms?

Don't panic if you don't understand everything immediately: Scientific papers usually contain highly condensed information. Typically, they need to be read multiple times to be fully understood.

5.4 Reading a Source II (Longer Works)

SQ3R method: survey, question, read, repeat, review

Survey : Get an overview, study the table of contents: What was covered? How is the text structured? What foundations does the author rely on? What is important for you?
Question : Formulate questions about the text - what information do you expect from this text for your own work?
Read : Read the relevant chapters for your question.
Repeat : It's okay if you don't fully understand everything on your first read of a chapter. Simply repeat what you understood (preferably aloud). If you get stuck: reread and repeat what you understood (preferably aloud). If you get stuck again: reread and...
Review : Summarize the content briefly in your own words. Were the questions about the text answered? Are there new questions?

5.5 How to rate a source

How do you know if the found source is useful? Even without specialized knowledge, you should pay attention to the following characteristics:

the work is current
the "related work" section is extensive
the contribution of the work is clearly highlighted in the introduction
the work has been cited frequently
the work was published in a major conference (if "ACM" or "IEEE" appears in the conference title, this is a good starting point)

6 Writing Style

Always use scientific language - never use everyday language!

Technical terms

Use technical terms, but not to obscure content. The reader must be able to understand them. If unsure, create a glossary. If there is a technical term for something, use it instead of a synonym.

Fill-in phrases

Avoid standard phrases such as e.g. "as can be easily seen...". Don't use relativisations ("many", "often", "mostly"), exaggerations ("enormous", "incredible"), filler words ("indeed", "well"), reassurance words ("somewhat", "somehow", "probably"), argument replacement words ("of course", "naturally"), or personal opinions. Your own statements are not prohibited, but must be critically reflected upon and justified. Stay humble in your explanations and avoid arrogant formulations (bad example: "The foundation is trivially provided by the well-known theories of tensor arithmetic" ). Avoid formulations with "one" or "I".

Comprehensibility

Don't write artificially complicated, but as if you were orally explaining a scientific fact to a professor. Write concise, clear sentences that exclude ambiguities and are content-wise informative. Terms must be defined clearly and used in a consistent manner. Also strive for a consistent level of language. Stay logical and never lose the thread. Stay focused on the problem. Write for the reader! Guidelines for comprehensibility:

Each sentence contains a statement
Each paragraph contains a thought
Each section contains a group of thoughts

Bad : It is a well-known problem in computer graphics that this interface limits the possibilities, which is why some data, such as textures, are not held in conventional main memory but are transferred to the graphics card and stored there in graphics memory.

Better : It is a well-known problem in computer graphics that this interface limits the possibilities. Therefore, it is common to store data such as textures in graphics memory instead of conventional main memory. This way, they only have to be transferred to the graphics card once.

Sentence Structure

Use subordinate clauses sparingly - avoid nested or unbroken sentences! Pay attention to clear role distribution: main information in the main clause, subordinate information in the subordinate clause. Eliminate subordinate clauses without (relevant) content. Avoid chains of genitives. Use verbs instead of nouns or auxiliary verb constructions (use "depends on" instead of "there is a dependency" or "is dependent on"). Whenever there is a choice between a verb and something else, choose the verb! Do not use too many prepositional phrases, meaning not more than one preposition ("in, under, over, between, in front of, after, against...") per sentence. Write in a positive sense instead of a negative sense - do not use double negations and write what is and not what is not. Also, avoid using too many passive formulations, but write in an active style.

Abbreviations

Use abbreviations sparingly and always use them unambiguously. Explain them at their first occurrence and create a list of abbreviations. Commonly known abbreviations (according to Oxford English Dictionary, Chicago Manual of Style, etc.) do not need to be included in the list. Do not rely on the reader to remember all abbreviations immediately: if you use formulas, constants, or abbreviations again many pages after their first introduction, explain them again with a brief repetition. For example, write "Here, the value α , which is the rotation angle , is used again to..." even though you introduced the variable α three chapters ago.

Avoid bullet point lists and write continuous text instead. Avoid frequent use of forward or backward references (e.g., "As will be seen in chapter X..." or "As shown in chapter Y...").

Use figures, tables, and diagrams to make complex textual statements more understandable, but avoid figures of trivial things. All figures or tables must be self-explanatory (axis labels, legends, color meanings, units, etc.). The use of a figure in no way makes a textual description obsolete: a) the body text must also be understandable without the figure and b) the figure must not replace the running text. Do not place essential new information solely in the figure (Negative example: The text describes that the effects shown in figure XY occur for these or those reasons. However, the effects themselves are only mentioned in the caption). All figures, tables, and diagrams must be referenced in the text.

The lower numbers ("zero" to "twelve") are normally spelled out in text unless there is a particular emphasis on the numerical size. Units are generally abbreviated without a period (kg, km, h, min...). A narrow non-breaking space is placed between the value and the unit symbol (do not break the line here). Avoid writing unrelated numbers together (Negative example: "256 64-bit registers...").

A consistent style should be used, and a uniform naming convention for variables, function names, etc. should be established. Do not use overloaded symbolism, but still strive for accuracy. Avoid using formulas directly in running text as much as possible, as they disrupt the reading flow and can sometimes sabotage the text layout; instead, use displayed formula environments. For example:

The Pythagorean theorem is a fundamental theorem of (Euclidean) geometry and states that:

a 2 + b 2 = c 2

The equation holds for any right triangle, where a and b are its catheti, and c is its hypotenuse.

Do not unnecessarily include complicated and lengthy derivations in the main text. Reduce them to the essential points (and provide additional details in the appendix if needed).

Source code

Should never be included in its entirety in the main text! If necessary, only selected portions should be included due to special circumstances. Instead, explain the developed procedures using structure and flow diagrams or with pseudocode.

7 Best Practices

In the following, you will find tips for the chapters presented according to the IMRAD ( I ntroduction, M ethods, R esults a nd D iscussion) scheme.

Introduction

At the very beginning of the written work, the introduction should provide a concise motivation for the task and elegantly introduce the topic. Here, the problem is presented in the context of an application, and the content of the work is briefly previewed. What problem was solved, why is it relevant? What is the approach? What was thematically limited or excluded? It is important to highlight your own contribution in a few concise sentences. (The conclusion should refer back to these contributions at the end to give the work a narrative bracket.) The introduction ends with an overview of the work — here, the contents of the individual chapters are briefly described (avoid trivial statements such as "In the results chapter 7, the results will be presented"). Hint : Avoid standard intros like "XY is an important field of application in computer graphics" or "XY is indispensable in computer graphics."

Related work

It should be shown who has already dealt with the topic or similar related topics, what solution approaches have been described and what the connection of the respective work to one's own is. Keep the " 4 Questions " in mind as a mnemonic: What problem was tackled? How was the problem solved? What did it bring? How does it relate to your own work? In this chapter, it is particularly difficult to create a red thread and prevent the text from becoming a list of papers. Strategies that can be combined are available: chronological or aspect-oriented. In the chronological listing, related works are described in chronological order, giving a historical overview of the solution approaches to the problem. Typically, the first source in time is described in more detail, as well as the sources that follow more closely in time. Finally, the current state should be examined in more detail. The second strategy, aspect-oriented citation, involves dividing the papers into aspects of one's own problem. For example, if the topic is volume rendering with global illumination, papers on volume rendering in general should be presented first, then sources on advanced methods, and finally papers on the integration of global illumination, possibly even in separate sections.

Mathematical, technical, algorithmic, and other knowledge should be explained here, but only as much as is needed to understand the work. The author's own level of knowledge before starting the work can be considered as prior knowledge. More advanced basic knowledge or detailed mathematical derivations can be moved to the appendix. The work is not a textbook. Explanations of the technical terms used may be given here (or at the beginning of the methodology chapter).

Methodology and Implementation

Here, the author's own work is described conceptually, including problem analysis and solution search/finding. At this point, a theoretical examination of the material should take place — do not explain using concrete APIs or source code (pseudocode, however, is allowed). Only after that comes the description of the implementation — in most cases, the implementation as software. Pay attention to a clear and problem-oriented selection of code examples or (partial) class diagrams. Detailed and comprehensive presentations should be moved to the appendix if necessary.

Here, an objective presentation of the results is made. A division into quantitative evaluation (generation of measurement data) and qualitative evaluation (surveys/expert feedback/description of peculiarities) is useful. For each evaluated issue, the result (e.g., as a figure or table) should be shown first, then described, and only then interpreted. Evaluation should not yet take place.

Only in the discussion section are the results to be critically questioned and assessed. Based on this, the pros and cons (of the developed method) are worked out.

The work is briefly summarized and evaluated, the results/solutions are condensed in a conclusion (making a connection to the problem statements raised in the introduction). An assessment of the general usefulness of the developed methods can be given. Hint : End on a positive note! In the conclusion, show the "good" things first, then the "bad" ones. For the latter, note that they are solvable and that the developed methods are nevertheless promising.

The outlook presents sensible extensions of the developed methods or possibilities for further research. Here, current weaknesses should be explained as opportunities for new concepts.

At the beginning of a main chapter, an overview of the following subchapters can be given. At the end of a main chapter, its content can be summarized and linked to the next main chapter. Anything that could hinder the reading flow (such as extensive tables, figures, mathematical derivations, or source code) should be moved to the appendix. Only really important snippets of source code should be included in the main part. It is better to avoid it and explain the underlying concepts/algorithms.

8 Time Management

Week

Rough chapter structure, outline

Research (read, structure, take note of relevant information)

Prototype implementation

Rough draft

Revision, correction, final draft

Evaluation, creating graphics/tables, etc.

Proof-reading

Printing, binding, submitting

Figure 1 Schedule for a Bachelor's Thesis..

Create a schedule and stick to it (for example, as shown in Figure 1). Also plan buffer time for unforeseeable events and don't let holidays, such as Christmas and New Year's, or exam periods catch you off guard. The work should be evenly distributed throughout the week. A day off from work is important! Make daily to-do lists and plan enough breaks (more than 5 hours of concentrated work per day is hardly possible). Especially plan the written work in small manageable steps and in the evening try to complete one item from the list for the following day.

Start work at a set time every day, whether you feel like it or not! Don't forget the breaks (recommended are 15 minutes of break after 45 minutes of work).

Consider your biorhythm and don't schedule important tasks during times when you are in a "tired" phase (instead, do simple tasks: organize literature, take care of the household or relax...). Remember to engage in daily physical activity — it also promotes mental performance.

9 Hints on the practical part/implementation

Especially in Bachelor's theses, you have a very limited amount of time for implementation. Therefore, focus on the essential core of your implementation. You don't need to reinvent the wheel, instead use existing software components and frameworks (e.g. for event handling, I/O operations, etc.). Your advisor can surely give you good hints, so that you don't have to develop your software from scratch. Discuss explicitly with your advisor the scope of functionality that your developed components should provide, and tackle these tasks first. If you realize during the course of your work that you still have time for further functionality, this will be welcome and credited to you as a bonus.

When implementing, always keep the KISS principle ( "Keep it simple and stupid" or "Keep it small and simple") in mind. Try to find the simplest implementation for the given problem. In general, a mature software product is not expected, a functional prototype is completely sufficient. However, don't skimp on comments in the source code and adequate documentation. Good program structure and software design are also essential. This helps everyone who wants to reuse your software later — for example, for follow-up theses, in teaching, etc. Perhaps you yourself may want to reuse your own software later and will be pleased to find that all functionalities are well-structured and explained.

10 Procrastination Techniques

Many students invest too much time in the implementation. Reasons for this are sometimes "perfectionist thoughts" or the desire to include even more program features in the software. Unfortunately, there is also the problem that some prefer to engage in intensive implementation work to avoid the written work — possibly because they are not sure how to "get started". Most likely, they simply lack experience in planning and implementing such a large project.

The phenomenon of procrastination is not unknown and is also referred to as "student syndrome" among other things. If you yourself are plagued by such thoughts or feel unable or only idle to plan your activities, contact your supervisor in good time and develop a concept for work distribution together. Be aware: you are certainly not the first person to experience writer's block, and help is available!

11 Presentation Guidelines

11.1 the two types.

Intermediate presentation In this presentation, students should particularly show their current progress and receive feedback from the audience. Suggestions may arise that can improve the implementation of the task. The presentation should include an introduction to the topic and the presentation of related work to give the audience an overview of the topic. Then, the chosen approach should be justified, implementations shown, and current results presented. A slide showing a list of completed and uncompleted parts of the task should not be missing. For the unfinished tasks, a realistic estimation should be made with the help of a timetable of whether and how they can be completed on time.

Defense It is not just a summary of the contents produced. Due to the limited speaking time, students should demonstrate that they are able to select important content and leave out unimportant content (or only mention it on the sidelines). Above all, their own contributions should be emphasized. Try to present your knowledge in a way that is as understandable as possible. Unlike you, the listeners do not know every detail of the work and do not want to be informed about every little problem that occurred during the processing time. Start with a good motivation and introduce the task. Be creative and catch the interest of your listeners! This also includes explicitly listing the challenges (i.e., why is your problem a problem) once again. This can be done through a single slide entitled "Challenges." This is followed by a brief outline to provide a roadmap for the presentation. Then, related work and technical foundations should be presented first. These should be kept as brief as possible. A defense is not a lecture! In addition, many things have already been discussed in the intermediate presentation. The core of the work, their own achievements, should occupy most of the presentation time. For particularly extensive work, it may sometimes be necessary to discuss only one part in detail and present the remaining parts in an overview. Always keep the thread and consider carefully what knowledge the listener needs when to follow the presentation, thus avoiding duplicate explanations. Depending on the nature of the work, it can be helpful to start with an overall view (big picture) before explaining finer structures. This gives the listener a guide. Usually, results from measurements or surveys are presented and discussed at the end. The presentation ends with a brief conclusion in which they can emphasize their own achievement again and refer to the task statement/introduction. Here, you can tie things together and show the "Challenges" slide once again. This time, in addition to each sub-problem, briefly summarize your presented solution(s). This is followed by a demonstration of the developed application and the obligatory question and answer session.

11.2 Question and Answer session

Imagine the question and answer session as an opportunity to present more in-depth knowledge. Some questions may be directed towards you as an "expert" and may be quite detailed, while others may be simpler in nature and serve as an indication that parts of your presentation were not understood. React calmly and professionally in the latter case. Under no circumstances should you respond rudely or arrogantly — difficulties in understanding often come from the structure of the presentation (especially if many details are discussed but an overview is lacking). Do not view expert questions as a personal attack and try to answer as objectively as possible. This is not always easy, as you have spent a long time working on the task and may have become very attached to it. Try to approach the situation from a distance and do not justify your actions, especially if your approach is being questioned. Instead, allow for alternative solutions and provide a comparative assessment of your own approach.

11.3 Miscellaneous

Time Limit The given time limit is strict and must be strictly adhered to. During your presentation, the last 5 minutes of presentation time will be discreetly displayed to you. If you are about to exceed the time limit, you will be informed verbally. At this point, you should definitely wrap up the presentation, otherwise deductions in the evaluation may occur.

Clothes Dress appropriately for the presentations. However, you don't need to wear a suit. For defending a thesis or dissertation, a dark pair of long pants and a shirt or a plain sweater is sufficient. T-shirts with prints or casual pants can make you appear less credible as a presenter.

Performance Be as relaxed and confident as possible. Try not to appear too stiff (but also not too hyper). Use speech pace and accentuation to guide the presentation and direct the listener's attention.

Practice Practice your presentation beforehand — for example, in front of a mirror or with good friends. This way, you can already get some initial feedback on its comprehensibility. You will also learn to assess whether the presentation fits within the time limit. Practicing the presentation is also a great way to train a relaxed attitude and speaking style.

Slides Don't write everything you say on the slides. There is a great risk that it will appear as if you are simply reading off the slides. Instead, create good illustrations and diagrams. Slides support the presentation in this way much more effectively, as concepts are often more understandable and tangible when presented graphically. Avoid unnecessary text in your presentation.

Backup Slides If you had to remove detailed information from the presentation slides due to time constraints, don't hesitate to collect them as an appendix. In the Q&A session, the extra slides can help with your explanations and also show that you have a deep understanding of the subject matter.

References in Slides Adopted illustrations and descriptions of related work must be correctly marked as citations, e.g. with square brackets. Use the same abbreviations as in your written work. Create a slide with the references used in the presentation for the appendix, but do not show this slide during the presentation.

Intermediate Questions Generally, be open to spontaneous questions, but don't waste valuable speaking time. Try to return to the presentation as quickly as possible and refer to the Q&A session for questions that would take too long to answer.

12 Thesis Evaluation Criteria

The Chair of Computer Graphics and Visualization pays attention to the following points in their assessments for final theses:

How extensive, how difficult, and how innovative is the work?
How much prior knowledge has the student brought in through lectures, exercises, or seminars?
Were the objectives of the task achieved, were objectives changed, were objectives expanded?
How is the student's working method with regard to goal orientation, prudence, systematicity, independence, and ability to discuss?
How is the written work regarding systematic structure, literature review, classification of the student's own work, comprehensibility, clarity, completeness, text and presentation quality?
How is the practical implementation regarding scope/effort, software design, completeness, stability, correctness, documentation, use of libraries and frameworks?

13 Recommended Literature (German only)

Kornmeier, Martin: Wissenschaftlich schreiben leicht gemacht für Bachelor, Master und Dissertation. UTB (Haupt), 2013
Theuerkauf, Judith: Schreiben im Ingenieurstudium: Effektiv und effizient zu Bachelor-, Master- und Doktorarbeit. UTB Verlag, 2012
Ebel, Hans Friedrich: Bachelor-, Master- und Doktorarbeit: Anleitungen für den naturwissenschaftlich-technischen Nachwuchs. Wiley-VCH Verlag GmbH & Co. KGaA, 2009
Hohmann, Sandra: Wissenschaftliches Arbeiten für Naturwissenschaftler, Ingenieure und Mathematiker. Springer Vieweg, 2014
Balzert, Helmut ; Schäfer, Christian ; Schröder, Marion ; Kern, Uwe: Wissenschaftliches Arbeiten - Wissenschaft, Quellen, Artefakte, Organisation, Präsentation. W3l Verlag, 2008
Rechenberg, Peter: Technisches Schreiben: (nicht nur) für Informatiker. Carl Hanser Verlag GmbH & Co. KG, 2003
Prevezanos, Christoph: Technisches Schreiben: Für Informatiker, Akademiker, Techniker und den Berufsalltag. Carl Hanser Verlag GmbH & Co. KG, 2013
Weissgerber, Monika: Schreiben in technischen Berufen: Der Ratgeber für Ingenieure und Techniker: Berichte, Dokumentationen, Präsentationen, Fachartikel, Schulungsunterlagen. Publicis Publishing, 2010

Note: The examples for formatting formulas may be difficult to read on your browser due to the TU Dresden corporate design. We apologise for this and recommend the PDF version (German only).

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