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.
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.”
B. Aditya Prakash, assistant professor in The Department of Computer Science has received the prestigious Faculty Early Career Development (CAREER) Award from the National Science Foundation to find data-driven network strategies to enhance national security and public health. Click here to read ore about Aditya’s award.
Marquis Who’s Who, the world’s premier publisher of biographical profiles, has presented Edward Fox with the Albert Nelson Marquis Lifetime Achievement Award, in recognition of outstanding contributions to his profession and the Marquis Who’s Who community.
In an announcement, the organization said, “An accomplished listee, Dr. Fox celebrates many years’ experience in his professional network, and has been noted for achievements, leadership qualities, and the credentials and successes he has accrued in his field. As in all Marquis Who’s Who biographical volumes, individuals profiled are selected on the basis of current reference value. Factors such as position, noteworthy accomplishments, visibility, and prominence in a field are all taken into account during the selection process.”
Edward Fox, Professor in the Department of Computer Science and DAC faculty member, has been named a 2017 Association for Computing Machinery Fellow for his contributions to information retrieval and digital libraries. Click here to learn more about about his history of service at ACM.
2017 marks the 31st year for the international multi-track machine learning and computational neuroscience conference includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers, and workshops.