Gautam Kumar, Ph.D.
Gautam Kumar, Ph.D.
- 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