Professor Dr. Venkat Chandrasekaran

Professor

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Biography

Venkat Chandrasekaran is a professor in the Division of Engineering and Applied Science at the California Institute of Technology. He is an applied mathematician whose research interests broadly encompass optimization and information sciences. His specific areas of focus include convex optimization, statistical inference, inverse problems, graphs, combinatorial optimization, and applied algebraic geometry. Through his research group, he studies the mathematical foundations of these topics and develops principled methods for their applications in science and engineering. Chandrasekaran teaches a variety of courses that explore these themes, including Mathematical Optimization and Great Ideas in Data Science.

Research Interests

Optimization Information Sciences Convex Optimization Statistical Inference Inverse Problems Graph Theory Combinatorial Optimization Applied Algebraic Geometry

Courses

EE 121 – Great Ideas in Data Science CMS/ACM/EE 122 – Mathematical Optimization EE 55 – Mathematics for Electrical Engineering CMS/ACM/IDS 113 – Mathematical Optimization

Requirements for California Institute of Technology

Doctorate Program

Requirements

TOEFL

Total

Required:100

IELTS

Overall

Required:7

Prerequisites

Bachelor's degree or equivalent Strong background in mathematics and physical sciences

Application Checklist

Online Application
Statement of Purpose
Three Letters of Recommendation
Transcripts
Resume/CV

Specialization Notes

Most Caltech graduate programs are PhD-only. GRE General and Subject tests vary by department; many have made them optional or no longer accept them.