Dr. Jitendra Malik

Professor

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Biography

Jitendra Malik is the Arthur J. Chick Professor in the Department of Electrical Engineering and Computer Science at the University of California at Berkeley. He received his PhD in Computer Science from Stanford University in 1985 and subsequently joined the UC Berkeley faculty. Over the years, he has held significant positions, including Chair of the Computer Science Division from 2002 to 2006 and also in the Department of EECS during the years 2004 to 2006. His research group is known for its innovative work in computer vision and computational modeling of biological vision, along with contributions to computer graphics and machine learning. Notable concepts and algorithms that originated from his research include anisotropic diffusion, normalized cuts, and shape contexts utilized in object detection, particularly through R-CNN. His publications have received numerous accolades, including multiple awards at prestigious conferences like CVPR and ICCV. Malik is a recognized figure in the field, having received the 2013 IEEE PAMI-TC Distinguished Researcher Award, the 2014 K.S. Fu Prize from the International Association of Pattern Recognition, the 2016 ACM-AAAI Allen Newell Award, and the IEEE Computer Pioneer Award in 2019. He is also a Fellow of the IEEE, ACM, and the American Academy of Arts and Sciences, and a member of the National Academy of Sciences and the National Academy of Engineering.

Research Interests

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.