News

xenophobia

Predicting Hate Crimes Targeting Asian Americans Amid Covid-19 Outbreak

CSE Assistant Professor Srijan Kumar and his lab, CLAWS, are the first to discover a discernible link between disease spread and hate crime incidents.

Read more...
COVID-19 National Deaths Forecast

Forecasting the Covid-19 Pandemic in the United States

CSE Associate Professor Aditya Prakash and CSE Ph.D. student Alexander Rodriguez are leading a CDC research team using data science to forecast COVID-19 deaths and hospitalizations.

Read more...
Alexander Rodriguez

Meet CSE: Alexander Rodriguez is Creating Data-driven Solutions for Public Health Problems

CSE Ph.D. Student Alexander Rodriguez introduces us to his recent research including disease forecasting for the CDC.

Read more...
Austin Wright

Making Crime Data More Accessible and User Friendly

CSE Ph.D. Student Austin Wright was announced as a GSU-GT PIT Fellow.

Read more...
Disinformation

Researchers Use Machine Learning to Fight Covid-19 Disinformation

To ensure Americans can find the most accurate information, College of Computing researchers are creating machine-learning (ML) and data science tools to help fact-checkers be more efficient.

Read more...
Munmun De Choudhury and Srijan Kumar

NSF Grant to Fund Georgia Tech Research into Psychological Impact of COVID-19

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.

Read more...
Umit and Srinivas SIAM Fellows

Two CSE Faculty Welcomed to the 2020 Class of SIAM Fellow

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

Read more...
Chao Zhang

Chao Zhang Wins Google Faculty Research Award

CSE Associate Professor receives faculty research award for data science research

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

Machine Learning Technique Helps Wearable Devices Get Better at Diagnosing Sleep Disorders and Quality

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

Read more...

Pages