headshot of Jaijeet Raychowdhury

Research Expertise and Interest

artificial intelligence, cyber-physical systems and design automation, computer architecture & engineering

Research Description

Jaijeet Roychowdhury is a Professor of EECS at the University of California at Berkeley. His research interests include machine learning, novel computational paradigms, and the analysis, simulation, verification and design of cyber-physical, electronic, biological, nanoscale and mixed-domain systems. Contributions his group has made include the concept of self-sustaining oscillators for Ising-based and von Neumann computation, novel machine-learning techniques for dynamical systems, theory and techniques for oscillator phase macromodels, injection locking and phase noise, multi-time partial differential equations, techniques for model reduction of time-varying and nonlinear systems, and open-source infrastructures for reproducible research.

Roychowdhury received a Bachelor's degree in electrical engineering from the Indian Institute of Technology, Kanpur, India, in 1987, and a Ph.D. degree in electrical engineering and computer science from UC Berkeley in 1993. From 1993 to 1995, he was with the Computer-Aided Design (CAD) Laboratory, AT&T Bell Laboratories, Allentown, PA. From 1995 to 2000, he was with the Communication Sciences Research Division, Bell Laboratories, Murray Hill, NJ. From 2000 to 2001, he was with CeLight Inc. (an optical networking startup), Silver Spring, MD. From 2001-2008, he was with the Electrical and Computer Engineering Department and the Digital Technology Center at the University of Minnesota in Minneapolis.

Roychowdhury was cited for Extraordinary Achievement by Bell Laboratories in 1996 for work on MOS homotopy. His student Tianshi Wang and he won the Bell Labs Prize in 2019 for their work on Oscillator Ising Machines. Over the years, he has authored or co-authored seven best papers and a distinguished paper. He has served on technical and administrative committees within several conferences and professional organizations, including ICCAD, DAC, DATE, ASP-DAC and CEDA. Roychowdhury was a co-founder of Berkeley Design Automation, a startup later acquired by Mentor Graphics. He is a Fellow of the IEEE.

In the News

Oscillator Ising Machines Take Quantum Computation for a Classical Spin

Bakar Fellow Jaijeet Roychowdhury led a breakthrough that enables combinatorial optimization problems involving millions of possible outcomes to be solved with quantum computer-type speed and efficiency using conventional Complementary Metal–Oxide–Semiconductor (CMOS) integrated circuitry.

Featured in the Media

Please note: The views and opinions expressed in these articles are those of the authors and do not necessarily reflect the official policy or positions of UC Berkeley.
December 12, 2019
Electrical engineering and computer sciences doctoral student Tianshi Wang and Professor Jaijeet Roychowdhury have been awarded the 2019 Nokia Bell Labs Prize for their development of a new type of processor element that will be significantly more efficient in computing the answers to discrete optimization problems. The award comes with a $100,000 prize and the opportunity to collaborate with Nokia Bell Labs. The two were chosen from a batch of 250 applications from 31 countries. Other stories on this topic appeared in WebWire, Pipeline Magazine, and Technology for You.
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