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Jaijeet Roychowdhury is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He completed his Bachelor's degree in Electrical Engineering from the Indian Institute of Technology, Kanpur in 1987, followed by a Ph.D. in Electrical Engineering and Computer Science from UC Berkeley in 1993. His research interests encompass machine learning, innovative computational paradigms, analysis, simulation, and verification design for cyber-physical, electronic, biological, and nanoscale mixed-domain systems. Noteworthy contributions from his group include the development of self-sustaining oscillators, Ising-based von Neumann computation, and novel machine-learning techniques for dynamical systems. He has received numerous accolades for his research, including recognition for extraordinary achievements while working at Bell Laboratories. Roychowdhury is also a co-founder of Berkeley Design Automation, a startup that was acquired by Mentor Graphics. He has an extensive publication record, having authored and co-authored numerous papers on topics such as oscillator phase macromodels and model reduction techniques for time-varying nonlinear systems.
University of California, Berkeley • Berkeley, CA, USA
Engaged in teaching and conducting research in electrical engineering and computer sciences.
Bell Laboratories • Murray Hill, NJ, USA
Conducted research in communication sciences and advanced electronic systems.
AT&T Bell Laboratories • Allentown, PA, USA
Worked in Computer-Aided Design (CAD) Laboratory.
CeLight Inc. • Silver Spring, MD, USA
Led an optical networking startup.
University of Minnesota • Minneapolis, MN, USA
Involved in electrical and computer engineering education and research.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.