Big data and computational algorithms have gradually become integrated with the built environment and within human’s daily lives, leading to a significant rise in Urban Artificial Intelligence (AI) research and applications. As such, the proposed Design & Analytics system will develop digital twins and virtual/augmented reality for multi-scaled simulations and scenarios for cities and regions. Further, such a platform will facilitate a collective understanding of existing urban infrastructure conditions and demonstrate innovative capabilities for how to increase urban resilience and efficacy beyond the technology integration. Such system will develop and support free and open-source software tools for reproducible urban problem solving. It can provide contextualized modeling of cities to dynamically analyze real-time built environments and test existing and future scenarios for sustainable growth and climate action. Some case studies and initial implementation will be introduced.
Speaker: Dr. Xinyue Ye
Dr. Xinyue Ye is Fellow of American Association of Geographers (AAG) and Fellow of Royal Geographical Society (with IBG), holding Harold L. Adams Endowed Professorship in Department of Landscape Architecture and Urban Planning at Texas A&M University-College Station. He directs the focus of transportation in the PhD program of Urban and Regional Science at TAMU, and is the Interim Director of Center for Housing and Urban Development and the Founding Director of Urban Data Science Lab. His research focuses on geospatial artificial intelligence, geographic information system, and smart cities. He was the recipient of annual research awards from both computational science (New Jersey Institute of Technology) and Geography (Kent State University) as well as AAG Regional Development and Planning Distinguished Scholar Award. He was one of the top 10 young scientists named by The World Geospatial Developers Conference. His work has been funded by National Science Foundation, National Institute of Justice, Department of Commerce, Department of Energy, and Department of Transportation. Prof. Ye is Editor-in-Chief of Computational Urban Science and the Co-Editor of Journal of Planning Education and Research.