Theses/Project Reports from 2026
A Step Toward Real-World Human Locomotion Modeling Using Deep Learning, Frank Assumma
When Agents Spend Watts: Measuring Performance-Energy Trade-offs in Agentic AI Systems with AgenticBench, Logan J. Barker
Hyperchaotic Noise Generation for Adversarial Encryption in Privacy-Preserving Image Classification, Neeraja Beesetti
Large Scale Kmer-Based Proteomic Analysis: An Application Towards Evolutionary Constraint Discovery, Matthew Chak
An Action-Based Pipeline for Automated Functional Physical Therapy Assessment using Computer Vision, HAYLEY MADISON CHANG
Multimodal Machine Learning for Soil Burn Severity Mapping Across California Wildfires, Sanjana Checker
Extracting California's Land Grant History: A Comparative Study of Rule-Based and LLM Methods for Historical Document Processing, Anthony Colin Herrera and Anthony Colin Herrera
Empirical Comparsion of Traveling Salesperson Approximation Algorithms, Shayan Daijavad
High-Resolution Queries, Low-Resolution Context: Scaling Vision Transformers with Asymmetric Spatial Reduction, James M. Dwyer
A Maintainable Extensible And Performant Compiler Toolchain For The TrustGuard Architecture, Ethan N. Emery
Integer Quantization and Embedded Deployment of CNN Star Trackers for CubeSats, Meora R. Giusiano
TRACE: Temporal Rhetorical Analysis and Consistency Evaluation for Legislative Speech, David Hernandez
Uncertainty-Weighted Fusion of Sensor and Monocular Foundation-Model Depth for 3D Gaussian Splatting in Indoor RGB-D Capture, Brandon S. Howell
Neurosymbolic Counterpoint Generation, Paul D. Jarski
IMV-sLSTM: An Intrinsically Interpretable Architecture for Network Intrusion Detection Systems, Aayush Joshi
The Application, Construction, and Validation of Hidden Markov Model Profiles for Carbonic Anhydrase Enzymes, Samuel F. Kaplan
Praxsmith: An Actor-Centric Domain Specific Language for Emergent Narratives in Video Games, Jacob C. Kelleran
ScoreSpeak: An Agentic System for Natural Language Control of Musical Scores, Nathan S. Lim
Feature-Selected Gradient Boosting Outperforms Parametric Baselines for Genomic Prediction of Mastitis Susceptibility, Gavin Lynch
Designing for Trust in Chat-Based Question Answering Systems: An Exchange-Based Retrieval Approach, Nathan McCutchen
An Evaluation of Road Network Structure as a Predictor of Traffic Volume, Colin M. McDonald
Predicting Student Belonging in Computing Education: A Multimodal Machine Learning Approach Using EEG and Survey Data, Hannah Moshtaghi
Object Detection and Classification for Man-made Structures To Aid in Search and Rescue (SAR), Mio A. Nakagawa
Sentinel: Evaluating Occlusion-Centered Next-Best-View Selection Using RGB-Derived Pseudo-Geometry, Paul Nassar
Demystifying Hardware Formal Verification for Undergraduate Education: A RISC-V Processor Case Study with Coursework Implementation, Riley A. Peters