While a student at DAC, Alex Endert (Ph.D. computer science 2012) worked with his advisor Chris North on a user interaction technique for visual analytics (semantic interaction) that helped adjust analytic models by computing on simple, well-understood interactions. For example, by highlighting a phrase of text or grouping a pile of documents adjusts underlying algorithms […]
“Working in data science and machine learning is exciting, but it is even more exciting when science helps us solve real-world challenges,” said Yue Ning, a Ph.D. student in the computer science department. The opportunity to be involved in high impact research drew Ning to Virginia Tech and DAC. “I am fortunate and honored to […]
Tanushree (Tanu) Mitra, an assistant professor of computer science and a DAC faculty member, has received a grant from the National Science Foundation supported by the Division of Information and Intelligent Systems to lead a study that will use social computing and human-centered approaches to better understand the relationship between people and technology in the […]
Congratulations to Tanushree Mitra, a winner in the latest round of Junior Faculty Awards from the Institute for Critical Technology and Applied Science. Mitra, a faculty member at the Discovery Analytics Center and assistant professor in the Virginia Tech – Department of Computer Science, will lead, with James Hawdon at the Virginia Tech College of Liberal Arts and Human […]
“You have to work every day at being the best you can be. It is a project that is never-ending.” These are Raja Phanindra Chava’s own words — and his inspiration — as he pursues an M.S. in computer engineering. “I believe that learning is a constant process throughout life to achieve excellence,” said Chava, […]
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Do you think working with image and video would make an interesting career? Yuliang Zou definitely does. The first-year Ph.D. student — who would like to join the research arm of a major company one day — is researching computer vision, trying to teach computers to analyze and think like a human when they are […]
Three Ph.D. students in the Urban Computing Certificate (UrbComp) program decided that the 2018 Data Ethics Case Competition would be a good way to apply what they have been learning in one of the program’s courses, GRAD 5134: Ethics and Professionalism in Data Science, this spring. So they teamed up to enter the competition, sponsored […]
As increasing numbers of people move to cities and become more wired and networked, Ph.D. students across various academic disciplines at Virginia Tech are joining together to focus on how data science can help them find solutions to urban problems. Click here to learn more about these students and their research.
In the era of data explosion, noise and corruption in real-world data caused by accidental outliers, transmission loss, or even adversarial data attacks is inevitable and often results in incorrect data labeling. For example, a negative review in the Internet Movie Database (IMDb) could be mislabeled as positive or an image of a panda might […]