Dr. Koushil Sreenath

Associate Professor

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Biography

Koushil Sreenath is an Associate Professor in the Department of Mechanical Engineering at the University of California, Berkeley. He earned his Ph.D. degree from the University of Michigan in Ann Arbor, specializing in Electrical Engineering and Computer Science, and holds a Master’s degree in Applied Mathematics. His research focuses on the intersection of highly dynamic robotics and applied nonlinear control. He has developed advanced work on dynamic legged locomotion, particularly with the bipedal robot MABEL, which has garnered attention from major media outlets such as the Discovery Channel and CNN. Additionally, his research on dynamic aerial manipulation has been recognized by IEEE Spectrum and other significant publications. He has published a book entitled 'Adaptive Sampling Mobile WSN' focusing on adaptive sampling for mobile sensor networks. Sreenath previously served as an Assistant Professor at Carnegie Mellon University and was a postdoctoral scholar at the GRASP Lab at the University of Pennsylvania.

Research Interests

Experience

Postdoctoral Scholar

2011-01-01 — 2013-01-01

GRASP Lab, University of Pennsylvania • Pennsylvania

Conducted advanced research in robotics.

Assistant Professor

2013-01-01 — 2017-01-01

Carnegie Mellon University • Pennsylvania

Taught and researched in the field of robotics.

Associate Professor

2017-01-01 — Present

University of California, Berkeley • California

Current faculty member conducting research in Mechanical Engineering.

Awards

#2013

Paper Award

2013-01-01
#2015

Google Faculty Research Award

2015-01-01

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.