Joseph Weissman graduated from Virginia Tech in May 2018 with triple majors — mathematics, physics, and Computational Modeling and Data Analytics (CMDA). “I really gravitated toward the machine learning side of my CMDA classes,” Weissman said. “And because I wanted to learn more about networks, I took Dr. Sengupta’s class on the subject during my […]

MD Momen Bhuiyan, a Ph.D. student in computer science at the Discovery Analytics Center, is focusing his research on social computing. He is currently working on news consumption issues in relation to social media, trying to solve problems of fake news through computation and design. “The problem of fake news is endemic in our social feeds,” Bhuiyan […]

To help physicians decrease the number of deaths resulting from traumatic brain injuries, Chandan Reddy, associate professor in the Department of Computer Science and faculty at the Discovery Analytics Center,  will use new machine learning techniques for computational models to predict short- and long-term outcomes, categorize traumatic brain injury patients, and provide interventions tailored to a specific patient and his or […]

Traumatic Brain Injury (TBI) is a global health problem affecting over 10 million people worldwide and is a leading cause of death and disability among children and young adults in the United States. While the understanding of biological mechanisms related to acquired brain injuries has improved significantly in the past two decades, none of these […]

Vartan Kesiz Abnousi is a Ph.D. candidate in economics in the Department of Agricultural and Applied Economics. He is also completing master’s degrees in computer science and in data analysis and applied statistics. His advisor is Edward Fox. Abnousi’s current research focuses on the investigation of misleading online news in social media. He has also […]

Anika Tabassum was a Ph.D. student in the Department of Computer Science. Her advisor was B. Aditya Prakash. Tabassum was also a NSF Research Trainee in the UrbComp program. Her research interest is broadly on data mining, graph networks, and time series. Currently, Tabassum is focusing on critical infrastructure networks to simulate and identify vulnerabilities in the […]

Fanglan Chen is a Ph.D. student in the Department of Computer Science and her advisor is Chang-Tien Lu. She is also working on a simultaneous master’s degree in Urban and Regional Planning at Virginia Tech. Chen was an NSF research trainee in the UrbComp program and has earned the graduate certificate. Chen’s research interests include […]