Jagannathan Sarangapani

Award Received:

IEEE CSS Transition to Practice Award

Date Awarded:

2018

Missouri University of Science & Technology

United States

Jagannathan Sarangapani

Biography

Dr. Jagannathan Sarangapani (or S. Jagannathan) is at the Missouri University of Science and Technology (former University of Missouri-Rolla) where he is at present a Rutledge-Emerson Distinguished Professor. He served as the Site Director for the graduated NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems for over 13 years. He has a joint appointment with the Department of Computer Science and the Department of Engineering Management and Systems Engineering. Prior to joining the Missouri S&T, he was employed at the University of Texas at San Antonio and Caterpillar Inc. His research interests include adaptive and neural network control, networked control systems/cyber-physical systems, sensor networks, prognostics, and autonomous systems/robotics.

He has co-authored 163 peer-reviewed journal articles, 277 refereed IEEE conference articles, several book chapters, and six books. He holds 21 patents with several pending. He so far supervised the completion of 29 doctoral students and 30 M.S. students. He received research funding from NSF, NASA, AFRL, Sandia and industries such as Boeing, Caterpillar, Honeywell, and others. He served as the co-editor for the IET Book Series on Control from 2010-2012 and on a number of IEEE Conference Organizing Committees including Chair of IEEE CSS Tech Committee on Intelligent Control. He is a Fellow of IEEE, US National Academy of Inventors, IET (UK), and Institute of Measurement and Control, UK. He received NSF Career Award in 2000, Caterpillar Research Excellence Award in 2001, Presidential Award for Research Excellence at the University of Texas in 2001, Boeing Pride Achievement Award in 2007, several Faculty Excellence and Teaching Excellence Awards at Missouri S&T and many others.

Affiliation(s)

Missouri University of Science & Technology

United States

Citation:

For the development of adaptive neural network feedback control schemes and decision tools, and their translation into industrial practice