Analog & Mixed Signal Circuits & Systems for Emerging Applications
Dr Bibhu Datta Sahoo will present various analog computing techniques that could enable AI algorithms or machine learning (ML) algorithms. He will also discuss mixed signal computing including in-memory computing and novel memory devices such as memristors to enable energy efficient computing. Dr Sahoo will present some classical analog hardware for emulating quantum algorithms like Grover's search.
Quantum Computing, having the ability to exponentially enhance the raw computing power and AI having the ability to impart unprecedented intelligences to connected devices through algorithms that learn, are 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.
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- E S Campus Dr
- Provo, Utah
- United States 84604
- Building: Clyde Engineering Building
- Room Number: 490
- Click here for Map
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- Co-sponsored by BYU
- Starts 14 September 2026 06:00 AM UTC
- Ends 18 September 2026 06:00 AM UTC
- Admission fee (optional) ?
Speakers
Bibhu
Biography:
Dr Bibhu Datta Sahoo joined the faculty of the University of Buffalo, NY, Department of Electrical Engineering as professor in Fall 2023.
He received a BT degree from Indian Institute of Technology, Kharagpur, India in 1998. He received MSEE degree from the University of Minnesota in 2000, and a PhD EE from University of California Los Angeles (UCLA) in 2009.
From 2000 to 2006 he was with DSP Microelectronics Group at Broadcom where he designed analog and digital integrated circuits for signal processing applications. From 2008 to 2010 he was Maxlinear Inc, where he was involved in designing RF ICs for CMOS TV tuners.
He has been a faculty member at IIT for 6 years. His research interests include mixed signal circuit design, analog computing, and machine learning. He was the Associate Editor of IEEE Transactions on Circuits and Systems, Associate Editor of IEEE Open Journal of Circuits and Systems and is one of the IEEE Circuits and Systems Society (CASS) Distinguished Lecturers.
Address:United States
Agenda
Lecture at 10am
Lunch to follow (we will probably serve pizza - vegetarian options included)