Dr. Ruzena Bajcsy

Professor

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Biography

Ruzena Bajcsy is a Professor Emerita at the University of California, Berkeley, where she has made significant contributions to the fields of robotics, computer vision, and medical imaging. She was the founding director of the Center for Information Technology Research in the Interest of Society (CITRIS) and has held notable roles at the National Science Foundation. Prior to her tenure at UC Berkeley, she was a professor in the Computer Information Science Department at the University of Pennsylvania, where she established the General Robotics, Automation, Sensing, Perception (GRASP) Lab. Over her 28 years at UPenn, she focused on interdisciplinary research in robotics, including applications in medical imaging, where she developed digital anatomy atlases and algorithms for identifying anatomical structures. Her work has been recognized by her peers; she is a member of the National Academy of Engineering and the National Academy of Medicine, and a fellow of the Association for Computing Machinery and the American Association for Artificial Intelligence. Bajcsy has received several prestigious awards, including the ACM/AAAI Allen Newell Award and the Benjamin Franklin Medal in Computer and Cognitive Sciences, and is known for her ongoing research using robotics to assess physical movement capabilities.

Research Interests

Awards

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ACM/AAAI Allen Newell Award

2001-01-01
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Benjamin Franklin Medal in Computer and Cognitive Sciences

2009-01-01
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IEEE Robotics and Automation Award

2013-01-01

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.