Haohui Wang is a Ph.D. student in the Department of Computer Science.  She is advised by Dawei Zhou. Wang’s research interest is in machine learning on graphs and she is currently working on long-tail category characterization.    

Dawei Zhou is an assistant professor in the Virginia Tech Department of Computer Science; director of the VirginiaTech Learning on Graphs (VLOG) Lab; and core faculty at the Sanghani Center. Zhou’s prior research is on rare category detection, graph mining, curriculum learning, and algorithmic fairness, with applications in financial fraud detection, cyber security, financial forecasting, […]

Bilgehan Sel is a Ph.D. student in the Department of Electrical and Computer Engineering. His advisor is Ming Jin. His research focus lies in reinforcement learning and mathematical optimization from the perspective of multi-objective optimization.

Xuan Wang joined the Virginia Tech Department of Computer Science as an assistant professor in Spring 2023 and is core faculty at the Sanghani Center. Wang’s primary research interests are in the fields of natural language processing and data mining. She is specifically interested in developing principled data-driven approaches with light human effort for effective […]

Lanxiao Huang is a Ph.D. student in the Bradley Department of Electrical and Computer Engineering.  His advisor is Ming Jin. His research interests lie broadly in machine learning with a recent focus on reinforcement learning, multi-objective optimization, and reinforcement learning in application of cybersecurity.  

Zain ul Abdeen is a Ph.D. student in the Bradley Department of Electrical and Computer Engineering.  He is advised by Ming Jin. His research interests are generally focused on machine learning, specifically in the domain of kernel methods, deep learning, and cyber security in power systems.

Alexander Kedrowitsch is a Ph.D. student in the Department of Computer Science.  His advisor is Danfeng (Daphne) Yao. His research lies in investigating security topics related to the efficient detection of advanced persistent threats on computer systems.

Ahmad Al-Tawaha is a Ph.D. student in the Bradley Department of Electrical and Computer Engineering.  He is advised by Ming Jin. His research is aimed at developing efficient methods for solving interdisciplinary optimization, control, and machine learning problems that are motivated by real-world applications. ,

Danfeng (Daphne) Yao is a professor of computer science at Virginia Tech. She is an Elizabeth and James E. Turner Jr. ’56 Faculty Fellow, CACI Faculty Fellow, and affiliate faculty at the Sanghani Center. Her research interests include building cyber defenses, as well as machine learning for digital health, with a shared focus on accuracy […]

Wenjia Song is a Ph.D. student in the Department of Computer Science. She is advised by Danfeng (Daphne) Yao. Song’s research focuses on applications of machine learning in medical predictions and cybersecurity.