Edge AI Accelerators and Inference Optimizations, Hardware-Software co-optimizations for AI, Deep Learning, Neuromorphic Computing
Biography
Education:
- Ph.D, Electrical Engineering, New Jersey Institute of Technology, 2020
- M.Tech, Microelectronics & VLSI Design, Indian Institute of Technology (IIT) Bombay, 2016
- B.Tech, Govt. Engineering College Bartonhill, India, 2010
Research:
- Implementation of neural network models in embedded AI Accelerators for real-time X-ray experiments.
- Digital Design of compression logic at the edge for handling high data-rates from the detectors.
- Exploration of applications for Spiking Neural Networks in X-ray experiments/detectors.
- Benchmarking existing ML models for X-ray experiments on edge AI accelerators.