Amirpasha Hedayat

I am a Ph.D. candidate in Aerospace Engineering at the University of Michigan, advised by Prof. Karthik Duraisamy, and am also pursuing a Ph.D. in Scientific Computing through the Michigan Institute for Computational Discovery & Engineering (MICDE). I previously completed my M.A.Sc. in Mechanical Engineering at the University of British Columbia (2020-2022), where I worked with Prof. Carl Ollivier-Gooch, and received my B.Sc. in Aerospace Engineering from Amirkabir University of Technology (Tehran Polytechnic) (2015-2019).

My research focuses on scientific machine learning (SciML) and AI for science (AI4Science), with an emphasis on reduced-order modeling (model reduction), operator learning, and neural surrogates. My long-term goal is to develop fast and reliable physics-informed ML/AI models that enable near-real-time prediction, control, and decision-making for complex dynamical systems. Such capabilities are essential for emerging applications, including digital twins, design optimization, and intelligent simulators in science and engineering.

Questions, ideas, collaborations? Reach me at ahedayat@umich.edu.