VPR Distinguished Lecture

Madhav Marathe

Networks, Simulation Science and Advanced Computing

Biocomplexity Institute and Initiative & Dept. of Computer Science

University of Virginia

Join us on Thursday, October 20th at 2pm!

(RSVP below to receive a calendar invite)

“Science and engineering of complex networks: The central role of AI and computing”

Real-world social habitats are often represented as multiplexed co-evolving networks. Reasoning about such networks is complicated and scientifically challenging due to their size, co-evolutionary nature and multiple contagions spreading simultaneously.

Examples include: The 2019 COVID-19 pandemic, 2014 Ebola epidemic, 2009 financial crisis, global migration,  information propagation over social media,  societal impacts of natural and human initiated disasters and the effect of climate change. Advances in computing and AI have fundamentally altered how such multiplex networks can be synthesized, analyzed and reasoned.

This talk will focus on the foundations and advanced computing technologies needed to study multiplexed complex networks with the aim of developing scalable and practical decision support systems.  I will draw on our work in urban transport planning, national security and public health epidemiology to guide the discussion.


Madhav Marathe is a Distinguished Professor in Biocomplexity, the division director of the Network Systems Science and Advanced Computing Division at the Biocomplexity Institute and Initiative, and a Professor in the Department of Computer Science at the University of Virginia.

His research interests are in sustainability science, network science, computational epidemiology, AI, foundations of computing and high performance computing. During his 30 year professional career, he has established and led a number to transdisciplinary groups. Recently, his group has supported federal and state authorities in their effort to combat the COVID-19 pandemic.

Before joining UVA, he held positions at Virginia Tech and  the Los Alamos National Laboratory. He is a Fellow of the IEEE, ACM, SIAM and AAAS.

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