Georgia Institute of Technology School of Computational Science and Engineering

he NIH is issuing $5.9 million in funding for a new national biomedical technology resource center (BTRC), called the mHealth Center for Discovery, Optimization & Translation of Temporally-Precise Interventions (mDOT).

Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020.

The value of online mental health communities, how crisis events are described differently over time on social media, and refining how cyberbullying is detected and classified are major topics of research from Georgia Tech at ICWSM 2020.

A multidisciplinary team of researchers has received a grant from the NSF to study the mental health outcomes of COVID-19 through examination of social media activity and geographic epidemiological data.

Srinivas Aluru and Ümit Çatalyürek have both been inducted into the 2020 Class of SIAM Fellows.

ML@GT researchers are improving the accuracy and efficiency of devices used to track sleeping using machine learning techniques.

Associate Professor Aditya Prakash joins the School of Computational Science and Engineering and discusses his timely research in infectious disease analysis and networks.

CSE Ph.D. Student David Betancourt provides an intriguing Q&A about his life as a machine learning scientist and lover of the arts.

The Machine Learning Center at Georgia Tech enters the new year with an expanded leadership team.

CSE Associate Professor Polo Chau received an internally-nominated Intel award for his research and work with the ARSA program at Georgia Tech.