Bijaya Adhikari, a Ph.D. student in computer science, was attracted to the Discovery Analytics Center by the opportunity to solve data mining problems that are not only theoretically interesting, but have real-world applications, as well. Adhikari’s core research focuses on graph mining and topics relating to social network analysis, such as community detection, immunization, influence […]

Current Virginia Tech graduate students Mohammed Almannaa, Fanglan Chen, and Swapna Thorve have earned the Urban Computing (UrbComp) certificate, a cross disciplinary program sponsored by the National Science Foundation and led by the Discovery Analytics Center. The program is a collaboration between eight departments and five colleges and trains students to use both foundational and […]

Discovery Analytics Center faculty Bert Huang and Chandan Reddy and two Ph.D. students were in Honolulu, Hawaii, last week, sharing their research with attendees at the Thirty-Third AAAI Conference on Artificial Intelligence. Chidubem Arachie and You Lu, both in the Department of Computer Science, presented spotlight talks on studies they collaborated on with Huang, who […]

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 […]