Saibal Mukhopadhyay received the bachelor of engineering degree in electronics and telecommunication engineering from Jadavpur University, Calcutta, India in 2000 and the Ph.D. degree in electrical and computer engineering from Purdue University, West Lafayette, IN, in August 2006. He joined the faculty of the Georgia Institute of Technology in September 2007 and was appointed to the Joseph M. Pettit Professorship in 2018.
Dr. Mukhopadhyay worked at IBM T. J. Watson Research Center, Yorktown Heights, N.Y. as research staff member from August 2006 to September 2007 and as an intern in summers of 2003, 2004, and 2005. At IBM, his research primarily focused on technology-circuit co-design methodologies for low-power and variation tolerant static random access memory (SRAM) in sub-65nm silicon technologies. Dr. Mukhopadhyay has (co)-authored over 250 papers in reputed conferences and journals and filed four United States patents. He is a Fellow of the IEEE
- Ph.D., Electrical and Computer Engineering, Purdue University, 2006
- B.E., Electronics & Telecommunication Engineering, Jadavpur University, 2000
Prof. Mukhopadhyay’s research focusses on design and deployment of embedded computing platforms that performs complex tasks like perception, planning, and decision making in sensor-rich autonomous platforms such as self-driving cars, lightweight unmanned aerial vehicles, and robots, to name a few. His work involves developing novel circuits, architectures, algorithms, and system-level design methodologies to improve energy-efficiency, intelligence and security of future autonomous systems. Research initiatives also explore integration of semiconductor devices and emerging heterogeneous integration and packaging technologies within computing and sensor systems.
Professor Mukhopadhyay’s teaching interests encompass fundamental and advanced topics in electrical and computer engineering for both undergraduate and graduate students. His instruction includes courses related to circuit design, very large scale integrated (VLSI) systems, and semiconductor fundamentals. Emphasis is placed on developing practical skills and theoretical understanding necessary for innovation in hardware and algorithms within modern computer engineering contexts.
- IEEE Fellow, 2018
- Office of Naval Research (ONR) Young Investigator Award, 2012
- ECE Outstanding Junior Faculty Member Award, 2012
- Class of 1934 Course Survey Teaching Effectiveness Award, 2012
- National Science Foundation (NSF) CAREER Award, 2011
- IBM Faculty Award, 2009 and 2010
- SRC Inventor Recognition Award, 2008
- IBM Ph.D. Fellowship award in 2004-2005
- 2005 SRC Technical Excellence award as a member of the Purdue University research group
- Best paper awards at IEEE-Nano 2003 and ICCD 2004, Best paper in session award at TECHCON-2005
- S Sharma, H Kumawat, A Sen, J Park, S Mukhopadhyay, Towards Efficient and Robust Sequential Chirp based Data Driven Radar Processing for Object Detection, IEEE Transactions on Radar Systems, 2025
- B. Chakroborty and S. Mukhopadhyay, FLAMES: A Hybrid Spiking‑State Space Model for Adaptive Memory Retention in Event‑Based Learning, NeurIPS, 2025
- N.E. Miller, L.A. Shamieh, S. Mukhopadhyay, Low‑Latency Digital Feedback for Stochastic Quantum Calibration Using Cryogenic CMOS, DATE, 2025
- W. C. Wang, S. Zhang, L. Shamieh, N. V. Kidambi, I. Chakraborty and S. Mukhopadhyay, MIX‑ACIM…, IEEE Solid‑State Circuits Letters, 2025
- A. Saad‑Falcon, W. C. Wang, L. Shamieh, J. Park, X. Mao, S. Mukhopadhyay, J. Romberg, AdaAFE‑CIM…, IEEE/MTT‑S IMS, 2025