Vimal William
Vimal (விமல்) is a PhD student at the University of Arizona, USA, advised by Dr. Jyotikrishna Dass and Dr. Ravi Tandon. Prior to this, he worked as a Systems Software Engineer in Edge AI and hardware at SandLogic Technologies, India.
Research Interest
He is working on improving AI inference efficiency through algorithmic and compiler optimizations, as well as the design of efficient hardware architectures. His prior work has focused on neural network compression via pruning algorithms, approximate and fixed-point computation for non-linear operations, and the development of end-to-end low-precision quantization pipelines.
"A computer would deserve to be called intelligent if it could deceive a human into believing that it was human." - Alan Turing
news
| Aug 01, 2025 | Started Ph.D. in Electrical and Computer Engineering (ECE) as a Herbold Fellow. |
|---|---|
| Jun 01, 2023 | Joined SandLogic Technologies as a System Software Engineer |
| Feb 01, 2023 | Graduated with a B.E. in Electronics and Communication Engineering from Anna University with First Class with Distinction. |
selected publications
- VDATTYTAN: Taylor-series based Non-Linear Activation Engine for Deep Learning Accelerators2025
- arXivDeep Learning Architecture for Motor Imaged Words2023