The M.S.E. in Computer and Information Science at the University of Pennsylvania equips students to lead technological innovations across academia and industry. These thesis topics span modern computing challenges from scalable systems to ethical AI.
Federated Learning Algorithms for Privacy-Preserving AI
Secure Multi-Party Computation for Healthcare Data Analysis
Blockchain-Based Voting System with Zero-Knowledge Proofs
Optimizing Distributed Systems for Low-Latency File Sharing
Explainable AI Models for Financial Decision Support
Real-Time Anomaly Detection in Network Traffic Using LSTMs
Automated Bug Detection in Open Source Repositories Using NLP
Scalable Cloud Infrastructure for Edge AI Deployment
Quantum-Inspired Algorithms for Cryptographic Key Search
Synthetic Data Generation for Biased Dataset Correction
Intelligent Code Completion Using Transformer Models
Data Pipeline Automation for IoT Sensor Networks
AI-Augmented Tools for Accessibility in Web Applications
Graph Neural Networks for Knowledge Extraction from Scientific Literature
Secure Authentication Mechanisms Using Behavioral Biometrics
Collexa assists UPenn CIS students in deep learning, backend systems, cloud-native architecture, secure coding, and thesis presentation support.
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