معرفی
Hao Wang is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Florida's College of Engineering. His research focuses on nano-photonics, optoelectronics, quantum devices, and neuromorphic computing, with significant contributions to transportation engineering through machine learning and spatiotemporal modeling. He holds a Ph.D. (2023) and M.A. (2018) from George Washington University.
Research interests span advanced materials and quantum technologies, alongside impactful urban studies involving AI-driven traffic prediction, policy analysis, and sustainable mobility solutions. His work integrates machine learning with transportation systems to address challenges like traffic crash prediction, EV infrastructure impacts, and remote work effects on urban mobility.
Recent publications emphasize uncertainty quantification in spatiotemporal systems, probabilistic graph neural networks, and hybrid deep learning models for urban analysis. Notable topics include mitigating spatial disparities in urban predictions, optimizing transit frequency under demand uncertainty, and evaluating economic vitality through EV charging station placement.
Wang's interdisciplinary approach bridges electrical engineering and urban informatics, with applications in policy analysis, sustainable transportation infrastructure, and AI-driven decision-making systems.
