During this talk, they will present ongoing work, highlight upcoming challenges and opportunities, and discuss the construction of the urban climate digital twin framework. The framework continually studies and models weather/climate processes for complex systems like cities, surrounding areas, and neighborhoods.
At the University of Texas at Austin, Dr. Dev Niyogi holds the William Stamps Farish Chair Professorship in the Department of Geological Sciences (Earth and Planetary Sciences), the Department of Civil, Architectural and Environmental Engineering in the Cockrell School of Engineering, and is affiliated with the Oden Institute for Computational Engineering and Sciences and the Center for Space Research.
You can see more information about this machine learning webinar here.
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