“As we confront complex, interconnected societal challenges in many aspects of our lives, I believe it is extraordinarily important for us to imagine and articulate exciting, attractive, and beneficial visions of the future of engineering research. I am very pleased to be able to collaborate with the ERVA stakeholders to help it be maximally successful.”
Pramod Khargonekar earned a bachelor’s degree in electrical engineering in 1977 from the Indian Institute of Technology, Bombay, India, and master’s degree in mathematics in 1980 and doctoral degree in electrical engineering in 1981 from the University of Florida. He has been on faculty at the University of Florida, University of Minnesota, the University of Michigan, and the University of California, Irvine. He was chairman of the Department of Electrical Engineering and Computer Science from 1997 to 2001 and also held the position of Claude E. Shannon Professor of Engineering Science at the University of Michigan. From 2001 to 2009, he was dean of the college of engineering at the University of Florida and served as the Eckis Professor of Electrical and Computer Engineering until 2016.
He also served briefly as deputy director of technology at ARPA-E, U.S. Department of Energy in 2012-13. He was appointed by the National Science Foundation to serve as assistant director for the Directorate of Engineering in March 2013, a position he held until June 2016. In this position, Khargonekar led the ENG directorate with an annual budget of more than $950 million. In addition, he served as a member of the NSF senior leadership and management team and participated in setting priorities and policies. In June 2016, he assumed his current position as vice chancellor for research and distinguished professor of electrical engineering and computer science at the University of California, Irvine.
Khargonekar’s research and teaching interests are centered on theory and applications of systems and control. His early work was on mathematical control theory, specifically focusing on robust control analysis and design. During the 1990s, he was involved in a major multidisciplinary project on applications of control and estimation techniques to semiconductor manufacturing. His current research and teaching interests include systems and control theory, machine learning, and applications to smart electric grid and manufacturing.
He has been recognized as a Web of Science Highly Cited Researcher. He is a recipient of the IEEE Control Systems Award, IEEE Control Systems Society Bode Lecture Prize, NSF Presidential Young Investigator Award, the American Automatic Control Council’s Donald Eckman Award, the Japan Society for Promotion of Science Fellowships, World Automation Congress Honor, the IEEE W. R. G. Baker Prize Award, the IEEE CSS George Axelby Best Paper Award, the Hugo Schuck ACC Best Paper Award, and the Distinguished Alumnus and Distinguished Service Awards from the Indian Institute of Technology, Bombay. He is a fellow of IEEE, IFAC, and AAAS. At the University of Michigan, he received the Claude Shannon Chair and Arthur F. Thurnau Professorship. In the past, he has served as associate editor for IEEE Transactions on Automatic Control, SIAM Journal of Control, Systems and Control Letters, and International J. of Robust and Nonlinear Control, and is currently on the editorial board of the Proceedings of IEEE.
He has served on numerous committees in IEEE, IFAC, and AAAS. He currently serves as a member of the executive committee of MForesight, a manufacturing think-tank; of the governance board of Clean Energy Smart Manufacturing Innovation Institute; of the external advisory board of Institute for Systems Research at the University of Maryland; of the governing board of CENIC; the Scientific Advisory Board of NSF; and the ERC on Internet of Things for Precision Agriculture; and he co-chairs the Applied Research Working Group of the University of California Global Climate Leadership Council.