This talk focuses on data science-enabled scientific discoveries and Artificial Intelligence techniques for urban systems in adapting to the changing climate. Cities around the world are facing various physical, social, and economic challenges associated with many stressors such as climate disasters. What makes cities vulnerable is in large part due to a network of connectivity that encompasses rapid growth of urban populations, disparate sprawl of the infrastructure, and increment of the environment. The big data revolution opens the door to a variety of research in sensing, modeling, and optimizing connected urban systems. However, there is a gap in our understanding and methods to integrate separate information, models, and insights to deliver smart solutions for climate adaptation of cities. This presentation will describe efforts to create a Digital Twin with capabilities of harnessing the urban big data revolution and analytics to offer data-driven, complexity-informed, equity-aware, and transdisciplinary insights to transform the way we design urban systems.
Speaker: Dr. Chao Fan
Dr. Chao Fan is an Assistant Professor of Civil and Environmental Engineering and Earth Sciences at Clemson University. He received the PhD degree in Civil Engineering from Texas A&M University in 2020, and the MS degree from UC Davis in 2017. He has authored 30 (17 first author) papers in peer-reviewed journals such as Royal Society, Computer-aided Civil and Infrastructure Engineering, International Journal of Information Management, Scientific Reports, and IEEE Transactions, including 2 ESI highly cited papers. His work has appeared on more than 20 international news media such as ASCE Civil Engineering Magazine and Phys.org. He serves as a reviewer on 37 peer-reviewed journals and a member of the program committee on 11 ASCE/ACM/IEEE/AAAI conferences.
