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Gautam Kumar, Ph.D.

Gautam Kumar, Ph.D.

Assistant Professor


McClure Hall 401D



Mailing Address

Chemical & Materials Engineering
University of Idaho
875 Perimeter Drive, MS 3024
Moscow, ID 83844-3024

  • Ph.D., Chemical Engineering, Lehigh University, 2013
  • M.S., Chemical Engineering, Lehigh University, 2008
  • B.Tech., Chemical Engineering, Indian Institute of Technology, 2005

  • Optimal control theory
  • Stochastic model predictive control
  • Stochastic systems
  • Computational neuroscience
  • Neural Engineering
  • Computational Psychiatry
  • Brain Medicine

Gautam Kumar joins the Chemical and Materials Engineering Department as an assistant professor. He obtained chemical engineering degrees from Indian Institute of Technology, Kanpur (bachelor's) and Lehigh University (master's and doctorate). Prior to joining the University of Idaho, he was a postdoctoral research associate in the Electrical Engineering Department at Washington University in St. Louis where he worked towards understanding brain dynamics using control-theoretic approaches. His research spans the areas of optimal control, stochastic systems, computational neuroscience and computational psychiatry with an emphasis on neurological and neuropsychiatric disorders such as epilepsy and major depressive disorders. In his leisure time, Kumar likes to play piano, bike, kayak and read books.

  • Kumar, G. and Ching, S., “The geometry of plasticity-induced sensitization in isoinhibitory rate motifs”, Neural Computation, 28(9), 2016.
  • Kumar, G., Kothare, M. V., Thakor, N. V., Schieber, M. H., Pan, H., Ding, B., Zhong, W., “Designing closed-loop brain-machine interfaces using model predictive control”, Technologies special issue “Brain-Machine Interface Technology”, 4(2), 18, 2016.
  • Kumar, G., Kim, S. and Ching, S., “A Control-theoretic Approach to Neural Pharmacology:
  • Optimizing Drug Selection and Dosing”, ASME Journal of Dynamic Systems, Measurement
  • and Control, 138(8), 084501, 2016.
  • Kumar, G., Menolascino, D., Kafashan, M. and Ching, S., “Controlling Linear Networks
  • with Minimally Novel Inputs”, In Proceedings of the 2015 American Control Conference, pages: 5896-5900, Chicago, IL, USA
  • Kumar, G. and Kothare,M.V., “Trapping Brownian ensemble optimally using broadcast stochastic receding horizon control”, Automatica, 50(2), 389-398, 2014.
  • Kumar, G. and Kothare, M. V., “On the continuous differentiability of inter-spike
  • intervals of synaptically connected cortical spiking neurons in a neuronal network”, Neural
  • Computation, 25(12), 3183-3206, 2013.
  • Kumar, G., Aggarwal, V., Thakor, N. V., Schieber, M. H. and Kothare, M. V., “An optimal control problem in closed-loop neuroprostheses”, In Proceedings of the 2011 50th Conference on Decision and Control and European Control Conference, pages: 53-58, Orlando, FL, USA.

  • Rossin Doctoral Fellow (2011)- P.C. Rossin College of Engineering and Applied Science, Lehigh University

Contact Us

Buchanan Engineering Building Rm. 308

Mailing Address:

Chemical & Materials Engineering
University of Idaho
875 Perimeter Drive MS 1021
Moscow, ID 83844-1021

Phone: 208-885-7572

Fax: 208-885-7462

Email: or