DUTTA, SOURAV
EDUCATION
Ph.D., Georgia Institute of Technology, 2018
B.E., Jadavpur University, India, 2012
OVERVIEW
Sourav Dutta joined the Department of Electrical and Computer Engineering at The University of Texas at Dallas as an Assistant Professor in Fall 2023. He is the recipient of the Texas Instruments Early Career Award in recognition for his outstanding research achievements. He received his B.E. degree in Electrical Engineering from Jadavpur University, Kolkata, India in 2012 and his Ph.D. degree in Electrical and Computer Engineering from Georgia Institute of Technology, Atlanta, USA in 2018. For his outstanding Ph.D. research on Beyond-CMOS logic and interconnect using electron spin (Spintronics) and plasma oscillations (Plasmonics), he was awarded the 2018 Sigma Xi Best Doctoral Dissertation Award from Georgia Tech. From 2018 till 2021, he was a post-doctoral research scholar and subsequently an Assistant Research Professor at University of Notre Dame, Indiana, USA, where he made key advancements in the field of in-memory computing and computing with continuous-time dynamical systems using ferroelectric memory, oxide semiconductor transistor, and complex phase-transition oxides. From 2021 till 2023, he was with the Components Research Group at Intel, Hillsboro, where he led R&D efforts on novel embedded memory and logic transistor technologies. In recognition for his research contributions at Intel, he received the Components Research Division Recognition Award. He has published over 50 peer-reviewed journal and conference papers including Nature Electronics, Nature Communications, Nature Scientific Reports, IEEE International Electron Devices Meeting (IEDM), IEEE Symposium on VLSI Technology and Circuits (VLSI) and IEEE Electron device Letters (EDL). He has 2 issued patents on novel Spintronics and Plasmonic devices and over 4 pending patents on novel embedded memory with Intel.
Dr. Dutta’s research interest spans from microscopic understanding of material and device physics to building novel hardware systems that can enable new forms of computing such as in-memory computing, brain-inspired neuromorphic computing, resilient computing, cryogenic and quantum computing. At UTD, Dr. Dutta’s research group focuses on harnessing the rich emergent dynamics at the atomic scale in functional and quantum materials for designing new nanoelectronics devices. Using these nano-scale building blocks, his research group focuses on building efficient circuits and systems that can support and accelerate applications related to Machine Learning (ML), Artificial Intelligence (AI), Stochastic and Probabilistic Computing, NP-hard Combinatorial Optimization and Graph Problems.
RESEARCH INTEREST
Microscopic understanding of material and device physics to building novel hardware systems, in-memory computing, brain-inspired neuromorphic computing, cryogenic and quantum computing
AWARDS
Texas Instruments Early Career Award (2023)
Components Research Division Recognition Award from Intel (2023)
Sigma Xi Best Doctoral Dissertation Award from Georgia Institute of Technology (2018)