Hoda Eldardiry is an associate professor in the Department of Computer Science at Virginia Tech and core faculty at the Sanghani Center. Her research in artificial intelligence and machine learning focuses on human machine collaborative intelligence, multi-source learning, graph machine learning, and anomaly detection. Prior to joining Virginia Tech in Fall 2019, Eldardiry worked at […]

After graduating from Virginia Tech in December 2018 with a bachelor of science degree in electrical engineering and a minor in computer science, Omer Zulfiqar moved to northern Virginia to be closer to his family. He was also in close proximity to the university’s location in the greater Washington, D.C. area.g In Fall 2019, he […]

Omer Zulfiqar was a master’s degree student in the Department of Computer Science. His advisor was Chang-Tien Lu.

The Discovery Analytics Center has received a research award from the Center for Security and Emerging Technology (CSET) at Georgetown University to support data-informed analysis for policymakers  concerning emerging technologies and their security implications. DAC will develop methods to extract novel insights at scale from full-text analytics of publications to better understand emerging technologies and […]

When Andreea Sistrunk started taking classes at Virginia Tech in the fall of 2014 she had left her job as a full time teacher in northern Virginia to devote more time to her two young daughters, ages three and seven. “It was becoming more difficult for me to hold a full time job and be […]

Choosing to pursue a Ph.D. in computer science at Virginia Tech was easy for Nikhil Muralidhar. “Virginia Tech was my top choice for good reason,” Muralidhar said. “It is known for its quality research and interdepartmental collaborations, for encouraging students to work on real world interdisciplinary applications, and for pioneering programs like UrbComp.” Also factoring […]

Lei Zhang was a master’s degree student in software engineering at Jinan University in China when his advisor told him about meeting Chang-Tien Lu from Virginia Tech and how he was doing research with algorithms on Twitter. While they were using different platforms — Zhang’s own work was on Weibo, the largest Chinese microblogging website […]

Akshita Jha is a Ph.D. in the Department of Computer Science. Her primary research interests lie in the area of fairness, accountability, and transparency in machine learning with applications in natural language processing and healthcare. Her advisor is Chandan Reddy.

Classifying rumors and fake news in social media is the focus of Mohammad Raihanul Islam’s work at the Discovery Analytics Center. “A rumor generally refers to an interesting piece of information — widely disseminated through a social network — that is not easy to substantiate,” said Islam, a Ph.D. student in computer science. Later, it […]

Debanjan Datta’s interest in data mining focuses on systems that perform anomaly detection with both interpretability and the ability to incorporate domain knowledge and human input. In a recent Discovery Analytics Center study with the World Wildlife Fund, Datta developed a framework that can apply machine learning on massive trade datasets to detect patterns of […]