Biography

Dr. 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 209 peer-reviewed journal articles as two-author papers, 308 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 36 doctoral students and 32 M.S. thesis students. His research funding is more than $47 million dollars (his shared credit over $13.8 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 including as a Senior Editor, IEEE Transactions on Neural Networks and Learning Systems, organizing committees in various international conferences, and as a co-editor for the IET Book series on Control.

Looking for Student Researchers

Undergraduate Researchers:

• Must have a background in Electrical Engineering
• Is a senior
• Has taken undergraduate controls course
• Has experience in controller implementation on hardware

This position will work with and assist Dr. Sarangapani’s graduate students.

Graduate Researchers:

• Multiple graduate research assistantships positions at the level of doctoral study are available in the machine learning and control system research group.    
• The applicants must have a masters degree in Electrical Engineering with a strong background in mathematics, control theory, and good communication skills.  
• GRE and TOEFL scores are needed for admission.  
• Research topics may include but are not limited to deep neural networks control and learning, control system security and power system application.
• Financial support includes 1/2 time stipend and tuition.

Interested applicants should contact Dr. Sarangapani at sarangap@mst.edu.

Research Interests

Learning, adaptation and control, neural networks, secure cyber-physical-human systems, big data prognostics, robotics/autonomous systems.

Education

• Ph.D. University of Texas, Arlington, Texas
• MS. University of Saskatchewan, Saskatoon, Canada
• BE. Anna University, Chennai, India