Dr. Krishna Shenoy

Professor

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Biography

Krishna V. Shenoy is the Hong Seh Vivian W. M. Lim Professor of Engineering at Stanford University, where he is a member of the Departments of Electrical Engineering, Bioengineering, and Neurobiology. Shenoy is also a Howard Hughes Medical Institute Investigator and has been an influential figure in neuroscience and neuroengineering. He conducts research focusing on understanding how the brain controls movement and is the director of the Stanford Neural Prosthetic Systems Lab. His lab works on developing advanced brain-computer interfaces, also referred to as brain-machine interfaces (BMIs), which are aimed at restoring motor function in people with paralysis. Shenoy has been awarded numerous prestigious honors in recognition of his contributions to the field, including being elected to the National Academy of Medicine and receiving the Andrew Carnegie Mind Brain Prize from Carnegie Mellon University. His research interests extend to the development of high-performance neural prostheses and involve sophisticated computational neuroscience methodologies. He has played a significant role in translating basic neural research into clinical practices through pilot studies and is actively involved in shaping the future of rehabilitative technologies for those with motor impairments.

Research Interests

Experience

Professor

2012-01-01 — Present

Stanford University • Stanford, CA

Teaching and conducting research in neural prosthetics and movement science.

Associate Professor

2008-01-01 — 2012-01-01

Stanford University • Stanford, CA

Conducting research and teaching in the field of neuroengineering.

Assistant Professor

2001-01-01 — 2008-01-01

Stanford University • Stanford, CA

Focused on neuroengineering and neuroscience research.

Awards

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Andrew Carnegie Mind Brain Prize

2018-01-01
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Member, National Academy of Medicine

2022-01-01
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Fellow, IEEE

2022-01-01

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.