Theses

 

Theses/Disserstations from 2025

Cost-Effective Automated UHI Mapping with AI: A Case Study of a Scalable Framework for Climate Equity in San José, California, Martin Alvarez Lopez

STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications, Andrew Gao

Quantization on Graph Neural Networks for Image Classification, Rithik Reddy Katpally

Using Facial Recognition for Selective Pose Detection, William J. Parker

Quantum Algorithm Emulation Using FPGAs, Samuel Petruescu

Sirilla: Predicting Traffic Flow via Stacked Decentralized Federated Learning, Andrew Selvia

See previous years