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Sanghani Center Student Spotlight: Shengzhe Xu

Shengzhe Xu chose to pursue a Ph.D. in computer science at Virginia Tech because the Sanghani Center offered him the opportunity to investigate cutting-edge challenges of academic importance and find ways of applying these methodologies to tackle real-world problems. “What I like best about the center is that everyone is encouraged to pursue their own areas of interest,” said […]

Sanghani Center Student Spotlight: Afrina Tabassum

Afrina Tabassum, a Ph.D. student in computer science, was attracted to the Sanghani Center by the trending research conducted by faculty for improving machine learning algorithms and their application to other fields. Her research interests lie in machine learning and self-supervised learning, particularly designing novel representation learning objectives for multi-modal data. “I was really attracted to this […]

Dawei Zhou receives Cisco Faculty Research Award to help combat destructive insider threats to cybersecurity

Insider threats to cybersecurity can occur when an actor with authorized access to an organization’s network conducts malicious activities that may release the organization’s critical information that further results in severe consequences such as financial loss, system crashes, and national security challenges. “These threats are on the rise and according to a recent cyber security […]

Ting-Chih Chen

Ting-Chih Chen was a master’s degree student in the Department of Computer Science. His advisor was Chris Thomas. Chen worked at the computer vision lab and his research interests include artificial intelligence, natural language processing, and computer vision. His research focuses on multimodal knowledge representation and hypothesis generation from heterogenous multimedia sources.

Chia-Wei Tang

Chia-Wei Tang was a master’s degree student in the Department of Computer Science. He was advised by Chris Thomas. Tang’s research focuses on the development of misinformation detection utilizing multimodal reasoning.

Alvi Md Ishmam

Alvi Md Ishmam is a Ph.D. student in the Department of Computer Science. He is advised by Chris Thomas. His primary research interest lies in multimodal computer vision with a goal to develop multimodal fine grained knowledge extraction techniques from text, image, videos, audio to combat online disinformation.

Virginia Tech researchers receive National Science Foundation award to secure vegetable production in a changing environment

Virginia Tech researchers in the Center for Advanced Innovation in Agriculture (CAIA) and the Virginia Tech Applied Research Corporation(VT-ARC) were awarded a $750,000 grant by the National Science Foundation Convergence Accelerator program to enhance vegetable production and food security in the commonwealth. The Sanghani Center for Artificial Intelligence and Data Analytics is a partner on this project. Read full story […]

Lenwood Heath collaborating on plant genome research project funded by National Science Foundation grant

Lenwood Heath, a professor in the Department of Computer Science and core faculty at the Sanghani Center, is part of a team that recently received a National Science Foundation (NSF) grant for its plant genome research project, “Unraveling the origin of vegetative desiccation tolerance in vascular plants collaborators.” Heath is collaborating with colleagues from Texas Tech University and […]

Sanghani Center Student Spotlight: Raquib Bin Yousuf

Raquib Bin Yousuf, a Ph.D. student in computer science, is exploring the capabilities of large language models to generate text from different forms of data, especially from knowledge graphs.  A knowledge graph, he said, can be a network with various entities and their relationships on any domain. Generating the correct and helpful narrative from the […]

Danfeng ‘Daphne’ Yao, pioneer and expert in enterprise data security, elevated to IEEE fellow

Danfeng “Daphne” Yao, professor in the Department of Computer Science and affiliate faculty at the Sanghani Center for Artificial Intelligence and Data Analytics at Virginia Tech, has been elevated to fellow, the highest grade of membership in the Institute of Electrical and Electronics Engineers (IEEE), for her contributions to enterprise data security and high-precision vulnerability screening.  Following a rigorous evaluation procedure, fewer than […]