Satish S. Nair
Professor, Robert H. Buescher Faculty Fellow
229 Naka Hall
ChBME - Affiliated | Electrical Engineering and Computer Science
Satish S. Nair is a Robert H. Buescher Faculty Fellow and professor in the Department of Electrical Engineering and Computer Science and Department of Chemical and Biomedical Engineering at the University of Missouri. Dr. Nair’s background is in the area of mathematical modeling of systems and their control, with focus on uncertainties and robust designs. His focus for the past 15 years he has been collaborating with neuroscientists at MU and outside on reverse engineering brain circuits at molecular, cellular, systems, and behavioral levels. Importantly, the Lab strive to generate fundamental understanding of structure-function relationships, including via reduced order and machine learning formulations.
He initiated computational neural engineering curriculum at University of Missouri and coordinated cross-campus faculty teams to secure funding from the National Science Foundation and National Institutes of Health to establish both novel undergraduate and research training courses in the area at both undergraduate (NSF- Research Experiences for Undergraduates), graduate (NIH-R25 mechanism) and faculty (NSF- NeuroWorkshop) levels. He has helped establish undergraduate and graduate certificates in neural engineering. He is also active in disseminating neural engineering and robotics content to K-12 youth via regular monthly camps and after-school programs in rural schools across Missouri, impacting over 3500+ elementary and middle school youth since 2006.
Dr. Nair has served as the College of Engineering’s associate dean for research. Nair’s research has been funded by the National Institutes of Health, the National Science Foundation, NASA and the U.S. Air Force. He is a Fellow of the American Society of Mechanical Engineers (ASME) and is a past chair of the ASME Dynamic Systems and Control Division (~8000 members). He has been Associate Editor of the IEEE Transactions on Control Systems Technology and of the ASME Journal of Dynamic Systems, Measurement Control. He is a registered professional control engineer in Missouri.
PhD from Ohio State University
MS from Ohio State University
BS from the Indian Institute of Technology
Computational and AI models in neuroscience
Uncertainty modeling using robust and adaptive techniques