Shenhao Wang

Shenhao Wang is an Assistant Professor in Artificial Intelligence at the University of Florida and the Director of the Urban Artificial Intelligence (AI) Lab. His work bridges urban science and computer science to address challenges in resilient urban systems, travel behavior modeling, and generative AI-driven urban design.

Education

• Ph.D. in Computer and Urban Science, Massachusetts Institute of Technology (2020)
• M.S. in Transportation and City Planning, MIT (2017)
• B.A. in Economics, Peking University (2014)
• B.A. in Architecture and Law, Tsinghua University (2012)

Research Interests

Dr. Wang focuses on three core themes:

• Resilient and Equitable Urban Systems: Using network theory and deep learning to model city dynamics and design equitable infrastructure.
• Travel Behavior Analysis: Integrating choice models with deep learning to predict mobility patterns and urban activity decisions.
• Generative AI in Urban Design: Automating urban planning tasks (e.g., land use, mobility patterns) using diffusion models and multimodal AI.

His research has been funded by the Department of Energy (DOE), Singapore-MIT Alliance for Research and Technology (SMART), and industry partners.

Grants & Labs

He leads the Urban AI Lab at the University of Florida, advancing interdisciplinary projects at the intersection of AI and urban systems. Current grants include DOE-funded studies on energy transition impacts and equitable urban prediction models.