Theses/Project Reports from 2026
A Step Toward Real-World Human Locomotion Modeling Using Deep Learning, Frank Assumma
Integer Quantization and Embedded Deployment of CNN Star Trackers for CubeSats, Meora R. Giusiano
Neurosymbolic Counterpoint Generation, Paul D. Jarski
The Application, Construction, and Validation of Hidden Markov Model Profiles for Carbonic Anhydrase Enzymes, Samuel F. Kaplan
Designing for Trust in Chat-Based Question Answering Systems: An Exchange-Based Retrieval Approach, Nathan McCutchen
Demystifying Hardware Formal Verification for Undergraduate Education: A RISC-V Processor Case Study with Coursework Implementation, Riley A. Peters
Video Generation Techniques for Novel View Synthesis with Flow-Matching Transformers, Xiuyuan Qiu
Johnson–Lindenstrauss Projections as Architectural Components in Deep Neural Networks, Charles Q. Ray
What Makes a Modern Attention Implementation?, Brian H. Slonim
AI Interview Helper: A Tool for Assisting Search and Rescue Long-Profile Interviews, Dylan P. Starink
Trim-Transfer: A Transfer Learning Approach for Cross-Trim Level CAN Intrusion Detection, Baylor J. Whitehead
Theses/Project Reports from 2025
A Comparative Evaluation of Feedback Strategies for Enhancing Student Software Test Suite Writing Outcomes, Ashton Alonge
Generalized Detection of Animal Behavior Using Accelerometers, Alexander J. Arrieta
TopoDINO: Self-Supervised Topological Representation Learning for Neuronal Morphologies, Yasser Binbisher
An Analysis of Neuroidal Memory Formation within D. melanogaster, Jerry Chang
Predicting Newsworthiness of California Bill Discussions, Venkata Kedarnath Chaturvedula
SPOS: An Attestation Solution for the Detection and Mitigation of Point of Sale Malware, Damian Singh Dhesi
DeepPanoRF: Deep Prior for Neural 3D Reconstruction From Sparse Panoramas, Edward Du
Efficient Gan-Based Adversarial Example Generation Against Ml-Based Network Intrusion Detection Systems, Darren D. Hartono
MarsAnywhere: Dataset and Cross-view Diffusion Model for Satellite-to-Ground View Synthesis with Mars Data, Benjamin T. Hinchliff
Detecting Software Anomalies in Microservices Using Spectrograms, Scalograms, and Convolutional Neural Networks, Snehith Jonnaikode
Type Qualifiers as Catalysts for Language Evolution, Jasper Kahn
Adversarial Deep Reinforcement Learning for Tank Duel Simulation Using Lidar-Based Observations, Braedan Kennedy
Griddle: A Novel Hardware Based Matrix Multiplier Architecture, Seth Kiefer