Dr. Koushil Sreenath

Assistant Professor

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Biography

Koushil Sreenath is an Assistant Professor in the Department of Mechanical Engineering at the University of California, Berkeley. He received his Ph.D. in Electrical Engineering and Computer Science, and a Master's in Applied Mathematics from the University of Michigan at Ann Arbor in 2011. His research interests focus on highly dynamic robotics and applied nonlinear control, particularly in the realms of dynamic legged locomotion and dynamic aerial manipulation. He has worked on the bipedal robot MABEL, which has gained recognition from major media outlets such as the Discovery Channel and CNN. His research on adaptive sampling in mobile sensor networks was published in the book 'Adaptive Sampling Mobile WSN (IET)'. He has received prestigious research awards, including the Google Faculty Research Award in Robotics and a Paper Award from the Robotics: Science and Systems (RSS) Conference. Sreenath has also been involved in organizing significant workshops in robotics and has served as a reviewer for several leading journals and conferences in the field.

Research Interests

Awards

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Google Faculty Research Award – Robotics

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NSF CISE Research Initiation Initiative Award

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Marquis Who’s Who in America

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Donald L. Rhonda Struminger Faculty Fellow – Mechanical Engineering

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Paper Award – Robotics: Science Systems (RSS)

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Cover Article – IEEE Control Systems Magazine (CSM)

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Technical Session Award, Engineering Graduate Symposium

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Paper Award – IEEE Conference on Robotics, Automation and Mechatronics (RAM)

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.