Shaofan Li
Scholar

Shaofan Li

Google Scholar ID: LIVqPuwAAAAJ
Professor of Applied and Computational Mechanics, University of California-Berkeley
Soft matter mechanicsAtomistic and Multiscale SimulationComputational Nano-mechanicsComputational Failure MechanicsMicro
Citations & Impact
All-time
Citations
8,709
 
H-index
42
 
i10-index
160
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Recipient of the prestigious International Association of Computational Mechanics Fellows Award in 2017 and the National Science Foundation CAREER award in 2003, among other notable accolades.
Research Experience
  • Currently a Professor of Civil and Environmental Engineering at UC Berkeley. His current research focuses on (1) AI-aided design methodology and machine learning-based computational modeling methods, such as AI-based additive manufacturing modeling, AI-based inverse finite element method, traffic accident forensic analysis, and wire fire occurrence prediction. (2) Computational failure mechanics, e.g., nonlocal peridynamics modeling and phase-field modeling of fracture. (3) Computational environmental fluid mechanics, such as prediction of human cough spreading and nonlocal computational fluid mechanics modeling. (4) Nano- and mesoscale modeling and experimentation of sustainable cementitious materials.
Education
  • B.S. in Mechanical Engineering from East China University of Science and Technology in 1982; M.S. in Computational Mechanics from Huazhong University of Science and Technology in 1989; M.S. in Aerospace Engineering from the University of Florida in 1993; Ph.D. in Mechanical Engineering from Northwestern University in 1997.
Background
  • Research interests include AI & ML applications in engineering, structural & computational mechanics, finite element methods, nonlinear and nonlocal continuum mechanics, multiscale simulation of materials, modeling and simulation of material failures, environmental fluid dynamics, and nanoscale characterization of cementitious materials.
Miscellany
  • Office hours: Tuesdays and Thursdays, 4:00 pm to 6:00 pm. Office located at 783 Davis Hall.
Co-authors
0 total
Co-authors: 0 (list not available)