Jagannathan Sarangapani

Jagannathan Sarangapani is the William A. Rutledge - Emerson Electric Company Distinguished Professor at the Missouri University of Science and Technology, where he holds a primary appointment in the Department of Electrical and Computer Engineering. He also holds courtesy appointments in Computer Science and Engineering Management and Systems Engineering. His research focuses on adaptive control, neural networks, cyber-physical systems, robotics, and big data prognostics. He has supervised over 36 doctoral and 32 M.S. students, with current research funded to the tune of $47M (shared credit: $13.8M). His awards include the IEEE Fellow, Fellow of the National Academy of Inventors, and multiple teaching excellence awards.

Education: Ph.D. in Electrical Engineering (University of Texas at Arlington, 1994), M.S. (University of Saskatchewan, 1989), and B.E. (Anna University, India, 1986).

Research interests include learning algorithms, neural network decision-making, networked control systems, and healthcare applications. Recent grants include projects on human-machine teaming, resilient deep learning control, and UAV formation control. He has authored/co-authored over 500 publications, including 21 patents and five books.

Awards highlight his contributions: IEEE Control Systems Society’s Transition to Practice Award (2018), NSF CAREER Award (2001), and multiple teaching commendations. He directs the Embedded Control Systems and Networking Laboratory and served as Site Director for the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems.