Krishna V. Shenoy

Krishna V. Shenoy (S87–M01–SM06) received the B.S. degree in electrical engineering from U.C. Irvine in 1990, and the M.S. and Ph.D. degrees in electrical engineering from MIT, Cambridge, in 1992 and 1995, respectively. He was a Neurobiology Postdoctoral Fellow at Caltech from 1995 to 2001 and then joined Stanford University where he is currently a Professor in the Departments of Electrical Engineering, Bioengineering, and Neurobiology, and in the Bio-X and Neurosciences Programs. He is also with the Stanford Neurosciences Institute and is a Howard Hughes Medical Institute Investigator. His research interests include computational motor neurophysiology and neural prosthetic system design. He is the director of the Neural Prosthetic Systems Laboratory and co-director of the Neural Prosthetics Translational Laboratory at Stanford University. Dr. Shenoy was a recipient of the 1996 Hertz Foundation Doctoral Thesis Prize, a Burroughs Wellcome Fund Career Award in the Biomedical Sciences, an Alfred P. Sloan Research Fellowship, a McKnight Endowment Fund in Neuroscience Technological Innovations in Neurosciences Award, a 2009 National Institutes of Health Director’s Pioneer Award, the 2010 Stanford University Postdoctoral Mentoring Award, and the 2013 Distinguished Alumnus Award from the Henry Samueli School of Engineering at U.C. Irvine.

Associated articles

TBME, Featured Articles
A High-Performance Neural Prosthesis Incorporating Discrete State Selection with Hidden Markov Models
Communication neural prostheses aim to restore efficient communication to people with paralysis and ALS.  These systems record neural signals from the brain and translate them, through a decoder algorithm, into control signals for moving an end effector.  In our study,... Read more
TBME, Featured Articles
Feasibility of Automatic Error Detect-and-Undo System in Human Intracortical Brain-Computer Interfaces
Brain-computer interfaces (BCIs) aim to help people with paralysis to improve their communication and independence. Intracortical BCIs (iBCIs) have shown promising results in pilot clinical trials. Despite the performance improvements over the last decades, BCI systems still make errors that... Read more