Dr. Kwabena Boahen

Professor

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Biography

Kwabena Boahen is a Professor in the Department of Bioengineering and the Department of Electrical Engineering at Stanford University. His research focuses on neuronal biophysics, cognitive behavior, and computational modeling, particularly in the context of emulating the brain with silicon chips and neuromorphic engineering. He founded the Brains Silicon Lab and has contributed significantly to the understanding of neural structures and functions through his interdisciplinary research, which bridges neurobiology, medicine, electronics, and computer science. Boahen earned his undergraduate degree in Electrical and Computer Engineering from Johns Hopkins University in 1985 and completed his PhD in Computation and Neural Systems at the California Institute of Technology in 1997. His academic career includes a faculty position at the University of Pennsylvania before returning to Stanford. Boahen's work has led to over a hundred publications and significant recognition, including the National Institutes of Health Director's Pioneer Award. He has been invited to give numerous talks, including a TED talk that has garnered substantial views, underscoring his impact in the field of neuroengineering and neuromorphic systems.

Research Interests

Experience

Professor

— Present

Stanford University • Stanford, California

Teaching and conducting research in bioengineering and electrical engineering.

Awards

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NIH Director's Pioneer Award

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Fellow

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Fellow

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Fellowship

Courses

BIOE 123 BIOE 313 EE 207 CS 499 CS 499P BIOE 191 BMDS 295 BIOE 392 BMDS 299 NEPR 299 BIOE 391 NEPR 399 SYMSYS 196 EE 300 BMDS 370 PHYSICS 490 EE 191 EE 191A EE 391 EE 191W EE 190 EE 390

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.