Jag Sarangapani is a Curators’ Distinguished Professor and Rutledge-Emerson Chair at the Missouri University of Science and Technology, Rolla, MO, USA. He was the Site Director for the graduated NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems for 13 years and an Interim Director for Intelligent Systems Center. He also has a courtesy appointment with the Department of Computer Science. He has co-authored 207 peer-reviewed journal articles as two-author papers, over 300 refereed IEEE conference articles, several book chapters, and co-authored five books and two edited books. He holds 21 patents, one defense publication, with several pending. He has supervised the completion of over 34 doctoral students and 31 M.S. thesis students. His research funding is more than $30 million dollars (his shared credit over $13 million) from NSF, NASA, AFOSR, ARO, ONR, AFRL, Boeing, Honeywell, Sandia and from other companies. His current research interests include learning, adaptation, neural network decision making and control, networked control systems/cyber physical systems, prognostics/bigdata, and autonomous systems/robotics with healthcare applications.  He served/serving on various editorial boards and as a co-editor for the IET Book series on Control.

Journal Papers (recent and representative)

1. Irfan Ganie* and S. Jagannathan, “Online lifelong optimal tracking control of uncertain nonlinear continuous-time strict-feedback systems using deep neural networks" Neural Networks, accepted for publication with minor revision, December 2024.

 

2. Charles Rawlins* and S. Jagannathan, “Predicting IoT distributed ledger fraud transactions with a lightweight GAN network”, IEEE Transactions on Mobile Computing, accepted for publication, November 2023.

 

3. Prakash*, L. Behera, and S. Jagannathan, “Adaptive critic optimal control of an uncertain robot manipulator with Applications”, IEEE Transactions on Control Systems Technology, vol.33, no.1, pp. 316-326, January 2025.

 

4. Farzanegan*, R. Moghadam*, S. Jagannathan, and N. Pappa, “Optimal adaptive tracking control of partially uncertain nonlinear discrete-time systems using lifelong hybrid learning”, IEEE Transactions on Neural Networks and Learning Systems, vol.35, no. 12, pp. 17254-17265, December 2024.

 

5. Irfan Ganie* and S. Jagannathan, “Lifelong learning-based optimal trajectory tracking control of constrained nonlinear affine systems Using deep neural networks”, IEEE Transactions on Cybernetics, vol.54, no. 12, pp. 7133-7146, December 2024.

*Graduate student

Conference Papers (representative)

1. Irfan Ganie* and S. Jagannathan, “Online learning-driven human intent estimation and control for human-robot interaction”, of the American Controls Conference, Denver, to appear in 2025.

 

2. Maxwell Geiger* and S. Jagannathan, “Improved optimal tracking of uncertain nonlinear discrete-time systems using experience replay”, Proc of the American Controls Conference, Denver, to appear in July 2025.

 

3. Shirin Nasr and S. Jagannathan, “Lifelong direct driven error learning for UAV altitude estimation in different weather conditions”, Proc of the 26^th IEEE Workshop in Multimedia Signal Processing, Oct 2024.

 

4. Shirin Nasr and S. Jagannathan, “Relative altitude estimation of thermal infrared images using SIFT features”, Proc of the IEEE 26^th Workshop on Multimedia Signal Processing, Oct. 2024.

 

5. Irfan Ganie* and S. Jagannathan, “Online continual safe reinforcement learning-based optimal control of mobile robot formations”, of the IEEE Conference of Control Technology and Applications, New Castle upon Tyne, August 2024.

 

Selected Honors/Awards

• Senior Editor, IEEE Transactions on Neural Networks and Learning Systems
• 2023 University of Missouri Curators’ Distinguished Professor
• 2021 University of Missouri Presidential Award for Sustained Excellence-STEM
• 2020 Best Associate Editor Award, IEEE Systems, Man, and Cybernetics-Systems.
• 2018 IEEE Control System Society’s Transition to Practice Award
• 2018 Fellow, National Academy of Inventors
• 2016 Fellow of the IEEE
• 2015 Fellow of the IET (UK)
• 2014 Fellow of the Inst. Of Measurement & Control (UK)
• 2005 Teaching Commendation Award
• Commended for Teaching Excellence in 2006-2007, 2012-2013, 2013-2014
• Outstanding Teaching Award 2014-2015, 2015-2016, 2017-2018
• Faculty Excellence Award 2005-2006, 2006-2007
• 2007 Boeing Pride Achievement Award
• 2001 University of Texas Presidential Award for Excellence (early career)
• 2001 Caterpillar Research Excellence Award
• 2000 NSF Career Award

Self Maintained Website

Under construction

Other Information

Books (edited) Published

• S. Jagannathan, V. Narayanan and A. Sahoo, “Event-triggered control using Adaptive Dynamic Programming”, CRC Press, in Press 2024.

Patents

• Al Salour, D. Trimble, J. Sarangapani, and E. Taqieddin, "Ultra-lightweight Mutual Authentication Protocol with Substitution Operation”, US Patent No. 10198605, February 5, 2019. (jointly with Boeing, St Louis)

Recent Grants (active)

• Human-Machine Teaming using Multiagent Reinforcement Learning for Construction Applications, DEVCOM/DAC, 2024-2027.

• Learning enabled Collaborative Autonomy for Networked CPS, AFOSR, 2024-2027.
• Safe and Resilient Deep Learning based Optimal Adaptive Tracking with Adversaries, ONR, 2024-2029.
• Center for Durable and Resilient Infrastructure, UT Arlington Lead, Co-PI, 2023-2027.
• PI Deep Neural Network Control, PI, ONR, 2021-2025.
• UAV Leader-follower formation Control, ARO, 2022-2025.
• Human Robot Swarm Integration, Co-PI, 2022-2025.

Students Graduated (recent)

• Charles Rawlins, “A lightweight machine learning framework for enhancing security in IoT Block Chain Networks”, January 2024.