High Performance Simulations to Support Real-time COVID-19 Response
Networks, Simulation Science and Advanced Computing
Biocomplexity Institute and Initiative & Dept. of Computer Science
University of Virginia
The COVID-19 pandemic represents an unprecedented global crisis and serves as a reminder of the social, economic and health burden of infectious diseases. The ongoing trends towards urbanization, global travel, climate change and a generally older and immuno-compromised population continue to make epidemic planning and control challenging. Recent advances in computing, AI and big data have created new opportunities for realizing the vision of real-time epidemic science. In this talk, I will describe our group's work developing scalable and pervasive computing based concepts, theories and tools for planning, forecasting and response in the event of epidemics. I will draw on our work in supporting federal agencies as they plan and respond to the COVID-19 pandemic outbreak. I will end the talk by outlining directions for future work.
Madhav Marathe is the division director of the Networks, Simulation Science and Advanced Computing Division at the Biocomplexity Institute and Initiative, and a Distinguished Professor at the University of Virginia. His research interests are in network science, foundations of computing, computational epidemiology and high performance computing. Before joining UVA, he held positions at Virginia Tech and Los Alamos National Laboratory. He is a Fellow of the IEEE, ACM, SIAM and AAAS.