Bostanabad completed his bachelor’s degree at the University of Tehran. He earned his doctorate in 2019 from Northwestern University where he developed data-driven and physics-informed computational frameworks and methods to systematically model and analyze complex systems in the presence of uncertainty. His work at Northwestern earned him a Terminal Year fellowship, Martin Outstanding Doctoral fellowship, Predictive Science and Engineering Design fellowship and Walter P. Murphy fellowship. At UCI, he is supervising cross-disciplinary projects, including designing next-generation materials using mechano-probabilistic deep learning, uncertainty quantification in high-dimensional and multifidelity systems, and Bayesian analysis of multiscale and multiphysics computer models.
Ph.D. Northwestern University, 2019
M.Sc. Northwestern University, 2018
B.Sc. University of Tehran, 2013
Design under uncertainty, probabilistic machine learning, materials informatics, computational microstructure characterization, topology optimization