Brief Intro:

  Dr. Soumyajit Dey is currently an associate professor in the Department of Computer Science and Engineering, IIT Kharagpur. He joined the department in 2013. He did his B.E. in Electronics and Telecommunication Engg. from Jadavpur University, Kolkata, India. He did his Masters and PhD degree in Computer Science and Engg. from IIT Kharagpur, India. He has published 28 peer reviewed journals and 56 International conference papers, some of them in top venues (http://cse.iitkgp.ac.in/~soumya/pub.html).
He leads the `High Performance Real-time Computing Laboratory (HiPRC) in Computer Science and Engg. Dept, IIT Kharagpur, India. His research interests include 1) Autonomous Trustworthy Cyber Physical Systems (CPS) design, 2) Formal Methods, 3) Real time scheduling, 4) GPGPU optimizations.
He has served as reviewer in 10 IEEE/ACM transactions and as PC member in DAC, RTSS, DATE, ICCPS, VLSI, VDAT, DSD, SPACE conferences. He has also organized special sessions on CPS in DSD 2020/21/22/23, DATE 2021. He is the winner of best design award in VLSI 2006 and has an honourable mention in VLSI 2019. He was awarded the Faculty Excellence Award in Associate Professor category by IIT Kharagpur in 2024.

GPU Work Summary: I am the creator of the 30 hour MOOC "GPU architectures and Programming." This is taken by ~ 4500 students every year (from both industry and academia). I have research interests, and existing works in GPU program optimization and scheduling with timing, power and thermal constraints for Automotive, Edge, as well as Server-end GPU applications. In recent times I am exploring the effect of Quantization and Pruning of Neural Network Architectures for efficient GPU implementation.