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Resume (English only)
Academic Achievements
He is well-known for his work on event-triggered control systems and has applied his research to managing important components of the nation's civil infrastructure, such as municipal wastewater systems and the national power grid. His research also explores the fundamental principles that limited communication and computational resources have on a networked system's performance.
Research Experience
From 1979 to 1986, he worked as an aerospace engineer at companies such as TRW, Lockheed, and General Electric. In 1990, he joined the faculty of electrical engineering at the University of Notre Dame and has been working on networked control systems for many years. He is known for his work on event-triggered control systems and started a project that deployed one of the first municipal scale sensor-actuator networks for wastewater management in smart-cities.
Education
He graduated from Stanford University in 1979 with an emphasis on mathematical control theory. He returned to graduate school in 1986 and obtained his M.S. and Ph.D. degrees in electrical engineering from Carnegie-Mellon University in 1990.
Background
His research interests include mathematical control theory, the use of neural networks in statistical signal processing, networked control systems, and event-triggered control systems. His current work is exploring deep learning for adaptive control.