ML@GT Presents Using Machine Learning to Respond to Covid-19

In the midst of a global pandemic, ML@GT researchers have worked on projects to respond to Covid-19. From creating digital tools used by Piedmont Healthcare to studying the psychological impact of the disease, our researchers have been hard at work to help those suffering from the disease.

Join ML@GT faculty members Nicoleta Serban, Srijan Kumar, Aditya Prakash, Munmun de Choudhury, and Irfan Essa and OMSCS student Kenneth Miller for a panel discussion on their work in regards to Covid-19.

The event will virtually take place via Bluejeans Events and requires registration.

About the Panelists:

Nicoleta Serban is the Virginia C. and Joseph C. Mello Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

Dr. Serban's most recent research focuses on model-based data mining for functional data, spatio-temporal data with applications to industrial economics with a focus on service distribution and nonparametric statistical methods motivated by recent applications from proteomics and genomics. 

She received her B.S. in Mathematics and an M.S. in Theoretical Statistics and Stochastic Processes from the University of Bucharest. She went on to earn her Ph.D. in Statistics at Carnegie Mellon University. (Nicoleta's Work)

Aditya Prakash recently joined Georgia Tech as an associate professor in the School of Computational Science and Engineering. He has published one book, more than 80 papers in major venues, holds two U.S. patents and has given four tutorials at leading conferences. His work has received a best paper award and four best-of-conference selections. Tools developed by his group have been in use in many places including ORNL, Walmart and Facebook. His research interests include Data Science, Machine Learning and AI, with emphasis on big-data problems in large real-world networks and time-series. (Aditya's Work)

Munmun DeChoudhury is an associate professor in the School of Interactive Computing. She is affiliated with ML@GT, GVU Center, and IPaT. At Georgia Tech, she leads the Social Dynamics and Wellbeing Lab to study, analyze, and appropriate social media, responsibly and ethically to derive computational, large-scale data-driven insights, and to develop mechanisms and technologies for improving our well-being, particularly our mental health. Her research has been motivated by how the availability of large-scale online social data, with the amalgamation of advances in machine learning and grounding in human-centered approaches can help us answer fundamental questions relating to our social lives. (Munmun's Work)

Srijan Kumar is an assistant professor in the School of Computational Science and Engineering. His research develops data science solutions to address the high-stakes challenges on the web and in the society. He has pioneered the development of user models and network science tools to enhance the well-being and safety of people. His research has been the subject of a documentary and has been recognized with best paper awards at WWW and ICDM. (Srijan's Work) (Srijan's Work Part 2)

Kenneth Miller is a student in Georgia Tech’s Online Master’s of Computer Science (OMSCS) program. He is a partner at Erskine Law where he represents Ford Motor Company and cases in the field of mass toxic tort litigation. Miller is a 13-year veteran of the United States Navy. (Kenneth's Work)

Irfan Essa is the executive director of ML@GT and distinguished professor and senior associate dean in the School of Interactive Computing. Essa is also a senior staff research scientist at Google. His research focuses on computer vision, machine learning, computer graphics, computational perception, robotics, computer animation, and social computing. Essa is a IEEE Fellow and has published over 200 scholarly articles with several winning best paper awards.