Ramin Bostanabad

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.