Using Machine Learning to Respond to Covid-19 panel

ML@GT Faculty Members Will Discuss Projects Related to Covid-19 Relief During Virtual Panel

The coronavirus (Covid-19) pandemic has wreaked havoc on the world, spurring researchers across disciplines into action to help human-kind. Four researchers affiliated with the Machine Learning Center at Georgia Tech (ML@GT) and one Online Master of Science in Computer Science (OMSCS) student examined different aspects of the virus’ impact. From creating forecasting models to studying the psychological impact of the disease, these researchers are helping people understand the virus.

On June 24, ML@GT faculty members Srijan Kumar (School of Computational Science and Engineering,) Aditya Prakash (School of Computational Science and Engineering,) Munmun De Choudhury (School of Interactive Computing,) Nicoleta Serban (H. Milton Stewart School of Industrial and Systems Engineering,) and OMSCS student Kenneth Miller will participate in a virtual panel discussing their work. The panel will be moderated by ML@GT executive director Irfan Essa.

Panelists will give individual presentations before participating in a general question-and-answer segment with audience members.

The panel will take place virtually via a Bluejeans Event at 11 a.m. on June 24 and is open to the public. Registration is required.