DAC is home to high-profile research, garnering recognition within and beyond the data analytics community.
Our talented team has been recognized with many competitive research awards and featured in major news and media outlets such as the Wall Street Journal, Newsweek, the Boston Globe and the Chronicle of Higher Education.
When Chandan Reddy, associate professor in computer science, joined the DAC faculty in the National Capital Region in August 2016, one of his Ph.D. students, Tian Shi, moved right along with him.
“I feel very lucky to be Dr. Reddy’s student. He has helped me very much in both my research and life,” said Shi.
A Ph.D. in computer science will be the second Ph.D. for Shi. His first, from Wayne State, is in physical chemistry.
Shi’s research was in theoretical and computational chemistry built upon quantum mechanics, statistical physics, and ab initio calculations. Various projects led him to computer science, where he found an interest in data mining, machine learning, and data visualization. Continue reading…
Alex Endert, DAC Ph.D. alum, and an assistant professor in the School of Interactive Computing at Georgia Tech
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 they can help people without data science training make sense of large amounts of text quickly. This line of research ultimately led to Endert’s dissertation, and grounds much of his research today.
“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 be working with Dr. Naren Ramakrishnan, who is one of the leading researchers in data analytics and applied machine learning,” she said.
Tanushree Mitra, DAC faculty member and assistant professor of CS
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 context of online news.
“The aim is to provide new perspectives that address digital misinformation by focusing on how we can establish differences between mainstream sources and misleading sources of online news and how we can nudge people to be more careful and conscious consumers of online news,” said Mitra.
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 given visual data like still images, RGB-D data, or video sequences.
Students and judges at 2018 Data Ethics Case Competition are (front row) Rob Day, Techlab; Stacey Clifton; and Matt Slifko; (back row) Rich Wokutch, professor of management; Davon Woodard; and John Grant, Palantir.
So they teamed up to enter the competition, sponsored by the Center for Business Intelligence & Analytics, which bridges classroom learning with a real-life situation and important questions for the future and encourages diverse trans-disciplinary teams.
UrbComp Ph.D. students, left to right top, Nikhil Muralidhar and Gloria Kang; bottom, Stacey Clifton and Davon Woodard
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 be mislabeled as a gibbon.
Xuchao Zhang, a Ph.D. student in computer science, is focused on solving the problem of mislabeling.