About Jagannathan Sarangapani


  • University of Texas-Arlington, Doctor of Philosophy, 1994

Jagannathan Sarangapani

Electrical & Computer Engineer
222 Emerson Electric Company Hall

573-341-6775 | sarangap@mst.edu | Personal site


  • University of Texas-Arlington, Doctor of Philosophy, 1994


Dr. Sarangapani Jagannathan is at the Missouri University of Science and Technology (former University of Missouri-Rolla) where he is a Rutledge-Emerson Distinguished Professor of Electrical and Computer Engineering. He served as a Site Director for the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems for 13 years. His research interests include neural network control, adaptive event-triggered control/secure human-cyber-physical systems, prognostics, and autonomous systems/robotics.

He has coauthored with his students 163 peer reviewed journal articles, 279 refereed IEEE conference articles, several book chapters, authored/co-edited 6 books, received 21 US patents, one patent defense publication and several pending. He graduated 29 doctoral and 30 M.S thesis students, and his total funding is in excess of $17 million with over $9.5 million towards his shared credit from federal and industrial entities. He was a co-editor for the IET book series on control from 2010 until 2013 and now serving on many editorial boards including IEEE Systems, Man and Cybernetics. He received many awards including the 2018 IEEE CSS Transition to Practice Award, 2007 Boeing Pride Achievement Award, 2001 Caterpillar Research Excellence Award, 2001 University of Texas Presidential Award for Research Excellence, 2000 NSF Career Award, and has been on organizing committees of several IEEE Conferences. He is a Fellow of the IEEE, National Academy of Inventors, and Institute of Measurement and Control, UK and Institution of Engineering and Technology (IET), UK.


Expertise areas

Neural network control, cyber-physical systems, machine learning, autonomous systems/robotics, prognostics

Research funding

  • Honeywell, National Science Foundation, Dept of Education, Airforce Office of Scientific Research


  • Haifeng Niu, C. Bhowmick, S. Jagannathan, Attack detection and approximation in nonlinear networked control systems using neural network, IEEE Transactions on Neural Networks and Learning Systems
  • Krishnan Raghavan, V. Samaranayake, and S. Jagannathan, A multi-step nonlinear dimension-reduction approach with applications to big data, IEEE Transactions on Knowledge and Data Engineering, acc
  • 9. B. Fan, Q. Yang, S. Jagannathan, Y. Sun, Output-constrained control for non-affine multi-agent systems with partially unknown control directions, IEEE Transactions on Automatic Control, to appear

Awards and recognition


  • Fellow IEEE, National Academy of Inventors, IET and Insttitute of Measurement and Control

Course information

Distance courses

2021 Fall Semester
2021 Spring Semester