Dr. Wang is specialized in computational mechanics, uncertainty and risk quantification, AI, and their applications in the natural and built environment. He joined the Rinker School as an Assistant Professor of Artificial Intelligence. Before that, he earned degrees in Engineering Mechanics and Civil Engineering from Central South University and Clemson University and worked as a postdoctoral scholar at University of California, Berkeley and a consultant for World Bank.
He has broad interests in the intelligent automation of design, construction and management of the next generation infrastructure system. He also develops cyberinfrastructure that leverage stochastic physics-based simulation, AI and data mining techniques for multi-scale modeling of the built and natural environment under chronic and acute stressors, which leads to informed decision-makings. Particularly, his focal areas include foundational issues in AI, data, and material sciences, such as: mechanism of neural networks, uncertainty quantification and dimension reduction of data and models, explainability and interpretability of algorithms and inferences, constitutive modeling and design of future construction materials.
For more details: http://charles-wang.me/
DCP 4300 – AI in Built Environment – Spring/2022
DCP 7911 – Advanced Design, Construction and Planning Research I – Spring/2022
Strongly motivated students are always invited to join my research group. Please email me (chaofeng.wang /at/ ufl.edu) your CV and a concise cover letter expressing your interests. Collaborations from the academia and industry are welcome.