Chih-Fang Chen was a master’s student in the Department of Computer Science. His advisor was Chang-Tien Lu.
Chih-Fang Chen was a master’s student in the Department of Computer Science. His advisor was Chang-Tien Lu.
Kai-Hsiang Cheng was a master’s student in the Department of Computer Science. His advisor was Chang-Tien Lu. Cheng’s research interests are applied machine learning and data mining.
Brian Keith was a Ph.D. student in the Department of Computer Science. He was advised by Chris North. Keith’s research focus is online information narratives, in particular, how to represent, extract, and visualize them. He is also interested in analyzing how misinformation spreads in these narratives.
Having earned two bachelor of science degrees, one in mathematics and one in engineering, and a master’s degree in informatics, all from UniversidadCatólica del Norte, Chile, Brian Keith was looking for a flexible Ph.D. program. The Virginia Tech Department of Computer Science provided that flexibility and led him to the Sanghani Center where interdisciplinary data […]
According to Yali Bian, the Sanghani Center’s proclivity for encouraging interdisciplinary research is an added benefit while working on his dissertation topic, “Interactive Deep Learning for Semantic Interaction.” It encompasses several different research areas like human computer interaction, deep learning, visual analytics, and explainable AI. Bian is exploring ways to provide user-friendly interactive visualization systems […]
When Bipasha Banerjee was looking for a Ph.D. program she had one major criteria: it had to give the highest importance to research. With her continuing passion for knowing more, she wanted to delve deeper into open questions and learn how to solve them. “The quality of research in computer science at Virginia Tech is […]
Po-Han Chen, a master’s degree student in computer science, was on the research team for the paper, “RISECURE: Metro Incidents And Threat Detection Using Social Media,” that appeared in the proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) held virtually in December.
Jesse Harden is a Ph.D. student in the Department of Computer Science. His advisor is Chris North. His research focuses on effective use and benefits of large displays in data science.
Po-Han Chen was a master’s student in the Department of Computer Science. His advisor was Chang-Tien Lu. Chen’s research focuses on using data from social media to help solve real-world problems.
Subhodip Biswas is the recipient of the Journeyman Fellowship through the DEVCOM Army Research Laboratory (ARL) Research Associateship Program (RAP) administered by the Oak Ridge Associated Universities (ORAU). This fellowship will provide Biswas the opportunity to work on Bayesian optimization techniques for automated machine learning (AutoML) and robust AI systems.