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Dr. Bahador Bahmani's research lies at the intersection of computational solid mechanics and machine learning, innovating scalable autonomous computational methods to advance the understanding of inelastic behavior in multiscale materials and structures. His work focuses on quantifying the uncertainty and stochasticity that plays a central role in closing the iterative loop between experimentation, modeling, and design. He has made significant contributions to the fields of computational engineering and advanced manufacturing, particularly in developing methodologies that integrate artificial intelligence into design processes.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.