Current Students
Tamador Mohaidat
Master's 2024
Thesis Title: Efficient Design of Neural Network Hardware Accelerator for Enhanced Performance in Deep Learning Systems
Charles Gilliland
Master's 2023
Thesis Title: Designing a flexible framework for developing acoustic array systems