I am a Research Scientist at Intel AI Labs, USA. Prior to joining I did my Ph.D. in Electrical & Computer Engineering from University of Southern California. I was co-advised by Dr. Massoud Pedram (SPORT lab) and Dr. Peter A. Beerel (eessc lab). My areas of research include energy-efficient, robust, and privacy-aware centralized and distributed machine mearning for computer vision and NLP applications. I have co-authored >24 peer-reviewed papers in various top-tier conferences including NeurIPS, ICCV, CVPR, WACV, ICASSP, and DATE. My other research interest includes hardware accelerator architecture design for neural networks, in/near memory computing, computer architecture.
Ph.D. thesis title: Algorithms and Frameworks for Generating Neural Network Models Addressing Energy-Efficiency, Robustness, and Privacy.
Recent Updates & News
[Jun 2022] : I am joining Intel AI Labs, USA. I will be working from the San Diego Office.
[May 2022] : Received highest graduate student award, Order De Arete, from USC.
[Apr 2022] : Successfully defended in my Ph.D. dissertation presentation. Now Dr. Souvik Kundu!!!
[Mar 2022] : Received Ph.D. achievement award from USC ECE.
[Feb 2022] : Two US patent applications get approved.
[Feb 2022] : Gave a visitor talk (remote) at IIT Kharagpur, India.
[Feb 2022] : Serving as a reviewer at ICML 2022, ICIP 2022.
[Jan 2022] : Paper gets accepted at ACM Transactions on Embedded Computing Systems.
[Nov 2021] : Gave a talk at UC Berkley RiceLab.
Work Experiences
[Industry] Research Scientist, Intel AI Labs, San Diego, USA, June 2022 - Till date.
[Industry] Deep Learning Research Intern, Intel AI Labs, San Diego, USA, June 2021 - Dec 2021.
[Industry] Deep Learning Research Intern, Intel AI Labs, San Diego, USA, June 2020 - Dec 2020.
[Academia] Research Assistant, University of Southern California, USA, August 2017 - May 2022.
[Industry] Digital Design Engineer, Texas Instruments, India, June 2016 - July 2017.
[Industry] R & D Engineer II, Synopsys, India, June 2015 - May 2016.
Community Services
Conference Reviewing:
[2022] WACV, ICLR, ICASSP, ICML, ACL, ICIP, NeurIPS.
[2021] BMVC, NeurIPS, WACV.
[2020] ISCAS, DAC, EMNLP (Outstanding reviewer), BMVC.
Journal Reviewing:
[2020-till date] IEEE Transactions on Computers.
[2020-till date] IEEE Transactions on Circuits and Systems I, II.
[2021-till date] IEEE Transactions on CAD.
[2020-2021] IEEE MICRO, MDPI.
[2020-2021] IEEE Transactions on Neural Networks and Learing Systems.
[2021] ACM TECS.
Mentoring:
Mentored summer interns at USC Viterbi IUSSTF program 2018, 2020, 2021. Mentored MS directed research students during Spring, Summer and Fall 2020, 2021, 2022 (spring).