Theses/Project Reports from 2023
Modeling Daily Fantasy Basketball, Martin Jiang
RacketFrames: A DataFrame Implementation For The Racket Programming Language, Shubham Kahal
Balancing Privacy and Accuracy in IoT using Domain-Specific Features for Time Series Classification, Pranshul Lakhanpal
Assessing The Resilience Of Mycorrhizal Networks Following Central Tree Removal, Deon Lillo
Contextually Dynamic Quest Generation Using In-Session Player Information in MMORPG, Shangwei Lin
Examining the Use of a Network Bypass to Circumvent Data Diodes Within Industrial Control Systems, Bryce Molesh
Effects Of Concussion And Visuomotor Metrics On NHL Performance: An Explainable AI Approach, Michael T. Moschitto
Smartphone Based Object Detection for Shark Spotting, Darrick W. Oliver
An Empirical Evaluation of Neural Process Meta-Learners for Financial Forecasting, Kevin G. Patel
Wasm-PBChunk: Incrementally Developing A Racket-To-Wasm Compiler Using Partial Bytecode Compilation, Adam C. Perlin
Neural Tabula Rasa: Foundations for Realistic Memories and Learning, Patrick R. Perrine
Simple Open-Source Formal Verification of Industrial Programs, Christopher Disney Peterson
A Novel Approach to Extending Music Using Latent Diffusion, Keon Roohparvar and Franz J. Kurfess
MMF-DRL: Multimodal Fusion-Deep Reinforcement Learning Approach with Domain-Specific Features for Classifying Time Series Data, Asmita Sharma
Exploration of Semi-supervised Learning for Convolutional Neural Networks, Nicholas Sheffler
Decentralized Machine Learning On Blockchain: Developing A Federated Learning Based System, Nikhil Sridhar
Deep Learning Recommendations for the ACL2 Interactive Theorem Prover, Robert K. Thompson and Robert K. Thompson
Play Area Utilization Optimization for Room-scale Exploration of Virtual Worlds, Chase VanderZwan
Shelfaware: Accelerating Collaborative Awareness with Shelf CRDT, John C. Waidhofer
Reinforcement Learning Framework For The Unreal Engine, Justin B. Wheeler
Theses/Project Reports from 2022
Evaluation of Automatic Text Summarization Using Synthetic Facts, Jaewook Ahn
Out-of-Core GPU Path Tracing on Large Instanced Scenes via Geometry Streaming, Jeremy Berchtold
Artist-Configurable Node-Based Approach to Generate Procedural Brush Stroke Textures for Digital Painting, Keavon Chambers
A Design of a Digital Lockout Tagout System with Machine Learning, Brandon H. Chen
Patterns of Academic Help-Seeking in Undergraduate Computing Students, Augie Doebling