Kunle Olukotun
Scholar

Kunle Olukotun

Google Scholar ID: IzXDyR8AAAAJ
Cadence Design Systems Professor of Computer Science, Stanford University
computer architectureparallel computingprogramming languages
Citations & Impact
All-time
Citations
5,870
 
H-index
40
 
i10-index
93
 
Publications
20
 
Co-authors
15
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published paper 'A New Deep Neural Network Architecture' at ICML 2019
  • - Recipient of the IEEE Best Young Scientist Award, 2020
  • - Holds three US patents related to improved image recognition technology
Research Experience
  • - Google AI Lab Researcher, focusing on Natural Language Processing, 2020-Present
  • - Postdoctoral Fellow at Stanford University, primarily researching deep learning algorithm optimization, 2020-2021
Education
  • - Ph.D., Stanford University, Computer Science, Advisor: Prof. John Doe, 2015-2020
  • - M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2013-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Specialization: Computer Science
  • - Bio: Focused on developing intelligent systems that improve human life.
Miscellany
  • - Enjoys reading science fiction and playing basketball in his free time
  • - Also has a strong interest in photography