Dr. Narges Norouzi

Assistant Professor

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Biography

Narges Norouzi received her Ph.D. in Computer Engineering from the University of Toronto in 2017 and her M.A.Sc. from the same institution in 2014. She also holds a B.A.Sc. in Computer Engineering from Sharif University of Technology, obtained in 2012. Her research interests lie at the intersection of Computational Biology and Machine Learning, focusing on the development and application of Biometric Systems and Statistical Signal Processing. Specifically, she is engaged in Image Processing, Pattern Recognition, and Adaptive Systems, contributing to both academic and practical advancements in these areas.

Research Interests

Computational Biology Biometric Systems Machine Learning Statistical Signal Processing Image Processing Pattern Recognition Adaptive Systems

Courses

CS 194-202: Data Science CS 194-271: Research AI Education CS 294-271: Research AI Education

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.