Prof Bibhu Datta Sahoo (University at Buffalo): Analog and Mixed Signal Circuits and Systems for Emerging Applications
5 September 2025, 14.00 h in H-B 6414
The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense”(L2S).
Quantum Computing, having the ability to exponentially enhance the raw computing power, and Artificial Intelligence (AI), having the ability to impart unprecedented intelligence to connected devices through algorithms that learn, are the two key technologies of the 21st century. Although novel devices can significantly advance the field of quantum computing, conventional CMOS based analog and mixed signal circuits can enable quantum computing using classical op amp based circuits. AI algorithms on the other hand are tolerant to errors in computation, thereby enabling approximate and low-precision computing which has resulted in the resurrection of more than half-a-century old analog computing. This talk would present various analog computing techniques that could enable AI algorithms or more specifically machine learning (ML) algorithms. The talk could also delve into mixed-signal computing where it will dive into the details of in-memory computing as well as adoption of novel memory devices, viz., memristors, to enable energy efficient computing. The talk would also present some classical analog hardware for emulating quantum algorithms, like Grover’s search algorithm, for quantum computing systems.
Bibhu Datta Sahoo joined the faculty of the University at Buffalo Department of Electrical Engineering as Professor in Fall 2023. He received the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology (IIT), Kharagpur, India, in 1998, the M.S.E.E. degree from the University of Minnesota, Minneapolis, MN, USA, in 2000, and the Ph.D. E.E. Degree from the University of California, Los Angeles in 2009. From 2000 to 2006, he was with DSP Microelectronics Group, Broadcom Corporation, Irvine, CA, where he designed analog and digital integrated circuits for signal-processing applications. From December 2008 to February 2010, he was with Maxlinear Inc., Carlsbad, CA, where he was involved in designing RF Integrated Circuits for CMOS TV tuners. He has been a faculty at IIT Kharagpur, India for 6 years and Amrita University, India for 5 years. His research interests include mixed signal circuit design, analog computing, and machine learning hardware. He received the 2008 Analog Devices Outstanding Student Designer Award and was the co-recipient of the 2013 CICC Best Paper Award. He was the Associate Editor of IEEE Transactions on Circuits and Systems-II from Aug. 2014 to Dec. 2015. Since Aug. 2019 he has been the Associate Editor of IEEE Open Journal of Circuits and Systems. He is one of the IEEE Circuits and Systems Society (CASS) Distinguished Lecturer for 2025-2026.
