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Yoonjin Kim

Yoonjin Kim is a Ph.D. student in the Department of Computer Science. Her research focuses on algorithms, machine learning, and bioinformatics. Kim is advised by Lenwood Heath.    

Jingyi Zhang

Jingyi Zhang is a Ph.D. student in the Department of Computer Science. Her advisor is Lenwood Heath. Zhang’s research is focused on computational epidemiology.

Discovery Analytics Center welcomes new faculty member Lifu Huang

The Discovery Analytics Center continually brings together computer scientists, engineers, and statisticians to meet the research and workforce needs of today’s data-driven society. This Fall, DAC welcomes new faculty member Lifu Huang. He has joined the Virginia Tech Department of Computer Science as an assistant professor, having earned his Ph.D. in computer science at the University of […]

John Aromando

John Aromando was a master’s degree student in the Department of Computer Science.  He was advised by Edward Fox. Aromando’s research interests include natural language processing and information retrieval, particularly analyzing design specs written in natural language and synthesizing a machine-understood language via the relevant descriptions.

Lifu Huang

Lifu Huang joined the Virginia Tech Department of Computer Science as an assistant professor in Fall 2020 after earning his Ph.D. in computer science at the University of Illinois Urbana-Champaign and is core faculty at the Sanghani Center. Huang’s primary research interests are in the fields of natural language processing, machine learning and artificial intelligence. […]

Chang-Tien Lu conducts research for U.S. Army Corps of Engineers to help detect insider threats

The challenge of detecting threats in war zones is even greater when assessing the possibility of an insider attack. “Seemingly innocent insiders can become dangerous due to a number of circumstances including  personal relationships and geospatial environments,” said Chang-Tien Lu, a professor in the Department of Computer Science, associate director of the Discovery Analytics Center, and […]

Chang-Tien Lu working with Maryland firm on advanced event prediction system to improve metro security

Chang-Tien Lu, a professor in the Department of Computer Science, associate director of the Discovery Analytics Center, and a faculty member in the National Science Foundation- sponsored UrbComp program  has teamed up with Schneider Electric Buildings Critical Systems, Inc. (SEBCSI)  on a project entitled “Advanced Analytics for High-Performance Metro Security Monitoring,” funded by the Washington Metropolitan Area Transit Authority (WMATA) SEBCSI, […]