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.
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.
Elaheh Raisi’s enthusiasm for math dates back to high school. So it was not surprising when Raisi chose applied mathematics as her major at the Amirkabir University of Technology -Tehran Polytechnic.
“I realized early on that mathematics is essential for many practical sciences,” said Raisi. “My aim was to gain a strong knowledge of mathematics that I could use in problem solving.”
During her freshman year Raisi concentrated on mathematics and programming-related courses but after taking some computer science classes, she developed an interest in artificial intelligence. She earned a master’s degree in artificial intelligence at the Science and Research branch of the Islamic Azad University.
Jonathan Baker earned a master’s degree in computational and applied math at Rice University in Houston, Texas, in 2015.
When Mark Embree, one of his professors at Rice, returned to his alma mater in Blacksburg to lead the Computational Modeling and Data Analytics program in the College of Science Academy of Integrated Science, Baker did not hesitate to follow him.
“Once I decided that I wanted to pursue a Ph.D. in math,” he said. “I knew the only professor I wanted to continue down that path with was Mark Embree.”
Screenshot of LCPS map on the crowdsourcing website Biswas created.
Subhodip Biswas, DAC Ph.D. student
The omnipresent activity of school redistricting is driving Ph.D, student Subhodip Biswas’s research at the Discovery Analytics Center.
“Through blogs and news articles, I became aware that school redistricting happens in some US public school systems almost every year,” said Biswas, who earned a bachelor ‘s degree in electronics and telecommunication engineering from Jadavpur University in India in 2014. “It was fascinating to learn how numerous considerations go into designing new school zones.”