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Shaofan Li is a Professor in the Department of Civil Environmental Engineering at the University of California, Berkeley. His research focuses on advanced methodologies in artificial intelligence and machine learning applied to engineering problems, particularly in the fields of computational mechanics, structural analysis, and environmental fluid dynamics. He develops innovative approaches to computational modeling, including AI-based design methodologies and nonlocal continuum mechanics, to enhance material simulations and environmental predictions. His significant contributions to the field have gained recognition, leading to prestigious awards such as the International Association for Computational Mechanics Fellows Award and the National Science Foundation CAREER Award. Dr. Li's work also addresses practical challenges in transportation safety and sustainable engineering, often emphasizing the development of green materials to reduce carbon emissions. He leads a research group dedicated to tackling complex challenges in soft matter mechanics, atomistic simulation, and failure modeling, continuously pushing the boundaries of engineering science.
University of California, Berkeley • Berkeley, CA
Teaching and research in Civil Environmental Engineering, specializing in computational methods and AI applications.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.