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Amir Taghvaei is an Assistant Professor in the William E. Boeing Department of Aeronautics and Astronautics at the University of Washington (UW) in Seattle. He earned his Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 2019, where he also obtained his M.S. in Mathematics in 2017. He completed his postdoctoral research at the University of California, Irvine. His research interests encompass the intersection of control theory and machine learning, focusing on the design of scalable and reliable computational algorithms and understanding fundamental limitations. Taghvaei has contributed to various publications in the fields of nonlinear filtering, reinforcement learning, stochastic thermodynamics, and optimal transportation theory, showcasing his expertise and innovation in these areas.
University of California, Irvine • Irvine, CA
Conducted research in the Department of Mechanical and Aerospace Engineering.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.