Events Calendar

Machine Learning to Track Epidemic Spread Featuring Viktor Prasanna

What technologies have evolved from a machine learning context that will help us in this unprecedented time? Join us for a live 60-minute webinar as Dr. Viktor Prasanna guides us through his development for a tool that will predict the global spread of the COVID-19 epidemic. He will share, for the first time, results from ReCOVER, his latest data model for accurate predictions and resource allocation for COVID-19 and other epidemics response. This webinar will feature a live Q&A session.

Dr. Prasanna holds the Charles Lee Powell Chair in Engineering and is a professor of electrical engineering and a professor of computer science. His research interests include high performance computing, parallel and distributed systems, reconfigurable computing, cloud computing and smart energy systems. He received his bachelor's degree in electronics engineering from the Bangalore University, master's degree from the School of Automation, Indian Institute of Science and Ph.D. in computer science from the Pennsylvania State University. Prasanna received the W. Wallace McDowell Award from the IEEE Computer Society in 2015 for his contributions to reconfigurable computing. He received an Outstanding Engineering Alumnus Award from the Pennsylvania State University in 2009. He received a 2019 Distinguished Alumnus Award from the Indian Institute of Science (IISc). He is a Fellow of the IEEE, the Association for Computing Machinery (ACM) and the American Association for Advancement of Science (AAAS).

Please use this link to sign up: https://viterbi-live-prasanna.eventbrite.com

This session will be hosted on Zoom. Links and passwords will be sent to all registered participants the morning of May 5th.

For any questions, please email us at engalums@usc.edu.

Audiences: Everyone Is Invited

Contact: Kristy Ly