Principal Investigator

Dr. Priya Panda is an Assistant Professor in the Electrical Engineering Department at Yale University. She received her Ph.D. from Purdue University in 2019 under the supervision of Prof. Kaushik Roy. She received the B.E. degree in Electrical & Electronics Engineering and the M.Sc. degree in Physics from B.I.T.S. Pilani, India, in 2013. She was the recipient of outstanding student award in physics for academic excellence. From 2013-14, she worked in Intel, India on RTL design for graphics power management. She has also worked with Intel Labs, USA, in 2017 and Nvidia, India in 2013 as research intern. During her internship at Intel Labs, she developed large scale spiking neural network algorithms for benchmarking the Loihi chip. She is the recipient of the 2019 Amazon Research Award, 2022 Google Research Scholar Award, 2022 DARPA Riser Award, 2023 NSF CAREER Award. Her research interests lie in Neuromorphic Computing, Spiking Neural Networks, energy-efficient accelerators, and in-memory processing.  

Priya’s research interests lie in robust and efficient neuromorphic computing. Her goal is to empower energy-aware, energy-efficient and robust machine intelligence through algorithm-hardware co-design while catering to the resource constraints of Internet of Things (IoT) devices. Her research has been published in journals such as Nature, Nature Communications, IEEE Transactions on VLSI, Applied Physics Review among others.