Professor Shahriar Talebi's research develops rigorous frameworks that integrate geometry, machine learning, and control to advance data-driven autonomy. Through geometric learning methods for control and inference under uncertainty, his research contributes to resilient and adaptable estimation and decision-making strategies.

https://scholar.google.com/citations?user=39Jo6ZoAAAAJ&hl=en

• Sharif University of Technology, BS in Electrical Engineering, 2014
• University of Central Florida, MS in Electrical Engineering, 2017
• University of Washington, MS in Mathematics, 2023
• University of Washington, PhD in Aeronautics and Astronautics, 2023

• Frank Hubbard Engineering Scholarship with UCF in 2017
• William E. Boeing Endowed Fellowship, Paul A. Carlstedt Endowment, and Latvian Arctic Pilot–A. Vagners Memorial Scholarship with UW in 2018 and 2019