Princeton’s M.S.E. in Computer Science program provides a rigorous academic environment for research in foundational and applied computing. These thesis topics are ideal for students pursuing innovation in algorithms, AI, cybersecurity, data systems, and more.
Decentralized Identity Verification Systems Using Blockchain
Federated Learning Models for Privacy-Preserving AI
Autonomous Drone Swarms for Disaster Mapping
Adversarial Attacks and Defenses in Deep Neural Networks
High-Performance Computing for Genomic Data Analysis
Building Energy-Aware Scheduling Algorithms in Cloud Platforms
Explainable AI Models for Medical Image Diagnostics
Optimizing Large Language Models for Edge Deployment
Zero-Knowledge Proof Systems in Cryptographic Protocols
Automated Code Repair Using Transformer-Based Models
Secure Multi-Party Computation for Distributed Financial Systems
Speech-to-Speech Translation Using Multilingual NLP Models
Runtime Verification for Safety-Critical Embedded Systems
Digital Twin Architecture for Industrial IoT Environments
Intelligent Traffic Flow Optimization Using Reinforcement Learning
Bias Detection in Large-Scale Recommendation Systems
Hybrid Human-AI Systems for Legal Document Summarization
Robust Graph-Based Intrusion Detection in Networks
Temporal Knowledge Graph Construction from Unstructured Data
Generative AI for Video Synthesis and Scene Completion
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