Computational Urban Sciences
The Computational Urban Sciences Group is comprised of a multi-disciplinary set of scientists carrying out applied research at the intersection of computing and complex urban systems in the emerging environment of smart cities, energy infrastructures, smart grids, smarter and sustainable mobility, smart buildings, changing impacts of severe weather and climate, data driven emergency response, and urban resiliency. The advances are enabled by the growing body of technologies that includes big-data, high-performance computing, artificial intelligence, machine learning, modeling and simulation, and 3-D visualization.
Researchers in the Computational Urban Sciences Group develop unique tools and capabilities to understand the physical challenges and opportunities of integrated urban systems under changing operating and extreme climate conditions. We integrate theories and methods from data science, climate science, network science, and engineering.