Shahriar Talebi
/Shahriar Talebi
Headshot of assistant Professor Shahriar talebi
Assistant Professor
Mechanical and Aerospace Engineering
Ph.D. University of Washington
M.S. University of Washington and University of Central Florida
B.S. Sharif University of Technology
Shahriar Talebi is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the UCLA Samueli School of Engineering. His research develops rigorous mathematical foundations for data-driven inference, decision-making, and artificial intelligence by integrating geometry, machine learning, and control theory. His work focuses on scalable methods for learning, optimization, and autonomy under uncertainty, with an emphasis on geometric approaches to control and machine learning.
Before joining UCLA in 2025, he was a Postdoctoral Research Fellow at Harvard University, affiliated with the John A. Paulson School of Engineering and Applied Sciences, the Faculty of Arts and Sciences, and the NSF AI Institute in Dynamic Systems (Dynamics AI). Dr. Talebi received his Ph.D. in Control Theory and his M.Sc. in Mathematics from the University of Washington, and his M.Sc. and B.Sc. in Electrical Engineering from the University of Central Florida and Sharif University of Technology, respectively.
His work has been recognized with the University of Washington Excellence in Teaching Award, the William E. Boeing Endowed Fellowship, the Paul A. Carlstedt Endowment, the Latvian Arctic Pilot–A. Vagners Memorial Scholarship, the Frank Hubbard Engineering Scholarship, and an interview featured in IEEE Control Systems Magazine.
