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 (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.
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 Sciences, a study on the language of online extremism: Computational models for discovery and analysis of framing around extremists’ narratives. Click here to read more about Mitra’s award.
“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, “and it is my primary driving force.”
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.
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 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.
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.