Krishna V. Shenoy, PhD
Professor
Department of Electrical Engineering, Department of Neurobiology (by courtesy), Department of Bioengineering (affiliate)
Neurosciences Graduate Program, Bio-X Program, Stanford Neurosciences Institute
Director of "Shenoy Group": Neural Prosthetic Systems Laboratory (NPSL)
Co-Director of "Translational Group": Neural Prosthetics Translational Laboratory (NPTL)
W100-A, James H. Clark Center, 318 Campus Drive West, Stanford University, Stanford, CA 94305-5436
T 650.723.4789, E shenoy{at}stanford{dot}edu

Faculty administrator: Beverly Davis, W352, James H. Clark Center, 318 Campus Drive West
T 650.723.1458, F 650.724.5791, E beverlydavis{at}stanford{dot}edu

Photo by Joel Simon (11/13/12) [high res]

Education & Training

  • 1986-1987 UC San Diego, Biomedical Engineering and Electrical Engineering (EE)
  • 1987-1990 BS EE, UC Irvine, Summa Cum Laude, Advisors: Profs. G.L. Shaw and G. Sonek
  • 1989 Summer intern at Rockwell Semiconductor Products Divsion (then Conexant, now Jazz), Newport Beach, CA
  • 1990-1992 SM EE, MIT, Advisor: Prof. C.G. Fonstad, Jr.
  • 1992-1995 PhD EE, MIT, Advisor: Prof. C.G. Fonstad, Jr.
  • 1995-1998 Postdoc, Neurobiology, Caltech, Advisor: Prof. R.A. Andersen
  • 1998-2001 Senior Postdoc, Neurobiology, Caltech, Advisor: Prof. R.A. Andersen

Positions

  • 8/1/01 - 2/1/08 Assistant Professor, Stanford University
  • 2/1/08 - 9/1/12 Associate Professor (tenured), Stanford University
  • 9/1/12 - present Professor, Stanford University

Honors & Awards

Service, Memberships & Directorships

  • 1988- IEEE
  • 1995- Society for Neuroscience (SFN)
  • 2001- Neural Control of Movement Society
  • 2003-2005 Defense Science Research Council (DSRC / DARPA) Fellow
  • 2005-2009 DSRC / DARPA Member
  • 2006 IEEE Senior Member, Engineering in Medicine and Biology Society
  • 2007- American Physiological Society
  • 2008-2014 Program Co-Director (along with Director Prof. Jay McClelland), NSF Integrative Graduate Education and Research Traineeship (IGERT) interdisciplinary program, "Emergent Functions of Neural Systems" part of Stanford's Center for Mind, Brain and Computation
  • 2008- Editorial board, Journal of Neurophysiology
  • 2009- Co-Director (along with Co-Director Prof. Jaimie Henderson), Neural Prosthetics Translational Laboratory (NPTL), part of Stanford Institute for Neuro-Innovation and Translational Neuroscience (SINTN) and Stanford's Bio-X / NeuroVentures program.
  • 2010-2015 Director (PI) of DARPA-DSO "REPAIR" Research Program, a 10-investivator, 4 institution research team. Faculty team investigators at Brown University: Burwell, Connors, Donoghue, Hochberg, Nurmikko [Co-Director], andScheinberg; at Stanford University: Deisseroth and Shenoy; at University College London: Sahani; and at UC San Francisco: Sabes.
  • 2013-2017 Co-PI (PI: Deisseroth) of DARPA-BTO "NeuroFAST" Research Program, a 2-investigator research team.

Teaching

  • 2002: Winter EE112
    • EE112 Electronics II, Basic operating principles and device equations for MOS capacitors and transistors, and bipolar junction transistors. The basics of transistor amplifier and logic circuit design using MOS transistors. Weekly one hour recitation session. Prerequisites: EE101, EE102, EE111. 4 units.
  • 2003: Winter EE12, Spring EE113, Autumn EE101B (w/ Prof. Mar Hershenson)
    • EE113 Electronic Circuits Bipolar and MOS amplifier design including DC bias, small signal performance, multistage amplifiers, frequency response, feedback. Design and use of operational amplifiers. Prerequisites: EE102, EE112. 3 units.
    • EE101B Circuits II Second of two-course sequence. MOS large-signal and small-signal models. MOS amplifier design including DC bias, small signal performance, multistage amplifiers, frequency response, and feedback. Lab designs and builds an all-analog neural signal processing systems. Prerequisite: EE101A. 4 units.
  • 2004: Winter EE101B Lab development, Spring EE101B Circuits II w/ Lab, Autumn EE101B Circuits II w/ Lab (with Prof. Mar Hershenson)
  • 2005 Winter EE418, Spring EE101B Circuits II with Lab (with Prof. Bob Dutton), EE101B Circuits II with Lab (with Prof. Mar Hershenson)
    • EE418 Topics in Neuroengineering. Neuroscience and electrical engineering, focusing on principles and theory in modern neural prosthetic systems (brain-computer or brain-machine interfaces). Electrical properties of neurons, information encoding, neural measurement techiques and technology, processing electronics, information decoding and estimators, and statistical data analysis. Prerequisites: EE214, EE278. 3 units.
  • 2006: Winter EE418, Spring EE101B Circuits II w/ Lab, Autumn EE101B Circuits II with Lab (with Prof. Mar Hershenson)
  • 2007: Winter: EE418, Spring: EE101B Circuits II w/ Lab, 2007 Autumn EE101B Circuits II w/ Lab (with Prof. Mar Hershenson)
  • 2008: Winter: EE418, 2008 Spring: EE101B Circuits II w/ Lab, Autumn Teaching leave (points)
  • 2009: Winter: [Sabbatical], Spring: EE302 (w/ Prof. Teresa Meng), Autumn Teaching leave (offset)
    • EE203 Topics in Biomedical Electronics. Biomedical electronics and instruments based on electrical engineering for diagnostics and therapeutic treatments of biological systems, focusing on the theory and design principles in modern biomedical electronics using electromagnetic properties. Topics include circuit design for implanted medical devices, physics and signal processing for medical imaging systems, techniques for neural measurements and neuro-decoding, and electronics for drug delivery. Prerequisites: EE214, EE264, EE265. 3 units.
  • 2010: Winter EE124, Spring EE101B Circuits II w/ Lab (https://ccnet.stanford.edu/ee101b), Autumn: Teaching leave (offset)
    • EE124 Introduction to Neuroelectrical Engineering. Fundamental properties of electrical activity in neurons, technology for measuring and altering neural activity, and operating principles of modern neurological and neural prosthetic medical systems. Topics: action potential generation and propagation, neuro-MEMS and measurement systems, experimental design and statistical data analysis, information encoding and decoding, clinical diagnostic systems, and fully-implantable neural prosthetic systems design. Prerequisites: EE101B, EE102B. 3 units. https://ccnet.stanford.edu/ee124/
  • 2011: Winter EE124, Spring Sabbatical, Autumn Teaching leave (offset)
  • 2012: Winter Teaching leave, Spring Sabbatical, Autumn Teaching leave (offset)
  • 2013: Winter Teaching leave, Spring Sabbatical, Autumn Teaching leave (offset)
  • 2014: Winter Teaching leave, Spring Sabbatical, Autumn Teaching leave (offset)
  • 2015: Winter Teaching leave, Spring Sabbatical

Updated: 22 December 2014