Niraj K. Jha

Niraj K. Jha

Affiliation
Princeton University
IEEE Region
Region 01 (Northeastern U.S.)
(
Country
USA
)
Email

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Niraj K. Jha (S’85-M’85-SM’93-F’98) received the BTech degree in electronics and electrical communication engineering from the Indian Institute of Technology, Kharagpur, India, in 1981, the MS degree in electrical engineering from S.U.N.Y. at Stony Brook, New York, in 1982, and the PhD degree in electrical engineering from the University of Illinois at Urbana-Champaign, Illinois, in 1985.

He is a professor of electrical engineering with Princeton University. He received the Distinguished Alumnus Award from I.I.T., Kharagpur in 2014. He is a recipient of the AT&T Foundation Award, NEC Preceptorship Award for research excellence, NCR Award for teaching excellence, six School of Engineering and Applied Sciences Teaching Commendations, and Princeton University Graduate Mentoring Award.

He has served as the editor-in-chief of the IEEE Transactions on VLSI Systems and an associate editor of the IEEE Transactions on Circuits and Systems I and II, the IEEE Transactions on VLSI Systems, the IEEE Transactions on Computer-Aided Design, the IEEE Transactions on Computers, the Journal of Electronic Testing: Theory and Applications, and the Journal of Nanotechnology. He is currently serving as an associate editor of the IEEE Transactions on Multi-Scale Computing Systems and the Journal of Low Power Electronics. He has served as the program chairman of the 1992 Workshop on Fault-Tolerant Parallel and Distributed Systems, the 2004 International Conference on Embedded and Ubiquitous Computing, and the 2010 International Conference on VLSI Design, as the director of the Center for Embedded System-on-a-chip Design funded by New Jersey Commission on Science and Technology, as the associate director of the Andlinger Center on Energy and the Environment, and on the program committees of more than 170 conferences and workshops. His research interests include embedded computing, secure computing, machine learning, monolithic 3D IC design, low power hardware/software design, and computer-aided design of integrated circuits and systems. He has given several keynote speeches in the areas of nanoelectronic design/test and embedded systems. He is a fellow of the IEEE and ACM

IEEE CEDA Position History:
  • Present   Machine Learning/AI Automation (Transactions on Computer Aided Design of Integrated Circuits & Systems Editoral Board)
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