Christos Profentzas

PhD Student, Computer and Network Systems division, Department of Computer Science and Engineering.

Ph.D. candidate in computer science expect to graduate around 2022.
My current research focuses on the performance evaluation of deep learning models on IoT devices. I utilize low-power hardware (e.g., ARM cortex M) with DSP and FPU accelerators for deploying quantized deep neural networks trained on high-level libraries (e.g., Pytorch, Tensorflow).

Page manager Published: Wed 15 Dec 2021.