
Controlling Epidemics on Networks: A Game Theoretical Perspective
Speaker: Anil Vullikanti, University of Virginia
Bio: Anil Kumar S. Vullikanti is a professor in the Department of Computer Science and at the Biocomplexity Institute. Vullikanti received his undergraduate degree from the Indian Institute of Technology, Kanpur, and his Ph.D. from the Indian Institute of Science, Bangalore. He was a post-doctoral researcher at the Max-Planck Institute for Informatics and a technical staff member at the Los Alamos National Laboratory.
Vullikanti‘s research interests are in the broad areas of approximation and randomized algorithms, dynamical systems, wireless networks, social networks, computation epidemiology, and the modeling, simulation, and analysis of socio-technical systems. His work has been published in journals and conferences in different areas, such as Nature, Journal of the ACM, IEEE/ACM Transactions on Networking, and the SIAM Journal on Computing and Transactions on Parallel and Distributed Computing. Vullikanti’s name appears as V.S. Anil Kumar in most publications. He is the recipient of the NSF CAREER award and the DOE Early Career award.