Jaijeet Roychowdhury

Timeline

1. 1987–1993

   Degrees at Kanpur and Berkeley

   He earns a B.Tech. in electrical engineering at the Indian Institute of Technology Kanpur in 1987. At UC Berkeley, he earns an MS in 1989 and a PhD in 1993, both in electrical engineering and computer sciences.

2. 1993–2000

   Research at Bell Laboratories

   From 1993 to 1995, he works in the Computer-Aided Design Laboratory at AT&T Bell Laboratories in Allentown, Pennsylvania. He works in Bell Laboratories’ Communication Sciences Research Division in Murray Hill, New Jersey, from 1995 to 2000.

3. 2000–2008

   CeLight and Minnesota

   He works at the optical networking startup CeLight in Silver Spring, Maryland, from 2000 to 2001. From 2001 to 2008, he works in the University of Minnesota’s Electrical and Computer Engineering Department and Digital Technology Center in Minneapolis.

4. 2002

   Co-founding Berkeley Design Automation

   In 2002, he co-founds Berkeley Design Automation.

5. 2009

   An IEEE fellowship

   He becomes a Fellow of the Institute of Electrical and Electronics Engineers in 2009.

6. 2014

   Boolean logic with oscillators

   In 2014, he releases “Boolean Computation Using Self-Sustaining Nonlinear Oscillators.” The paper describes how oscillators can act as latches and registers when logic states are represented by the phase of oscillatory signals.

7. 2019

   Oscillator Ising Machines

   In 2019, he and Tianshi Wang coauthor “OIM: Oscillator-based Ising Machines for Solving Combinatorial Optimisation Problems,” which uses networks of coupled oscillators and presents working CMOS hardware prototypes. They win the 2019 Nokia Bell Labs Prize for their work on a processor element for discrete optimization problems.

8. 2020–2023

   Bakar awards for oscillator computing

   He receives a Bakar Fellows Spark Award in 2020 and the Bakar Prize in 2023. His group’s Oscillator Ising Machine is part of the work recognized by the 2023 prize, which supports the transition of research into industry applications.

9. June 2023

   Field-Programmable Ising Machines

   In June 2023, he coauthors “FPIM: Field-Programmable Ising Machines for Solving SAT” with Thomas Jagielski and Rajit Manohar. They develop a reconfigurable analog Ising-machine scheme for satisfiability problems and test their approach on 2,000 SATLIB benchmark problems.

10. As of October 2026

    Professor at Berkeley

    As of October 2026, he is a professor in UC Berkeley’s Department of Electrical Engineering and Computer Sciences, in the Division of Electrical Engineering. His research includes machine learning for dynamical systems and self-sustaining oscillators for Ising-based computation.