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Tianyi Li

Tianyi Li was a Ph.D. student in the Department of Computer Science.  She was advised by Chris North and Kurt Luther, an assistant professor in the Department of Computer Science. Li’s research interest is in crowdsourced sensemaking and visualization. She studies how to incite, acquire, and structure crowd wisdom to help experts make sense of […]

The Discovery Analytics Center enhances strengths with four new faculty

The Discovery Analytics Center welcomes four new faculty this fall who will help lead Virginia Tech’s big data research and education efforts on campus. “Data analytics is inherently interdisciplinary and our new faculty bring expertise that will bolster our strengths in matrix computations, statistical methodology for network data, computer vision, and information credibility as we […]

DAC has strong presence at ICDM 2017

The Discovery Analytics Center was strongly represented at the IEEE International Conference on Data Mining (ICDM) in New Orleans, Nov. 18-21, with a number of accepted research papers by DAC faculty and students and DAC faculty serving on committees and panels.

Barbara Micale

Barbara Micale is the public relations specialist for the Sanghani Center, working with the team to raise awareness of the center’s research and education endeavors. Her responsibilities include communications strategy, editorial services, web content, and social media. She joined Virginia Tech in the National Capital Region in 2004, having served most recently as assistant director […]

Brian Goode recognized with Innovation Award from the Fragile Families Challenge

Brian Goode focused on data-driven and process-driven approaches to create predictive models for six outcomes of 4,242 participants. He presented his work at the Fragile Families Challenge Scientific Workshop at Princeton University last week. Click here to read more about Brian’s award.

Mark Embree

Mark Embree, professor of mathematics and associate director of the Virginia Tech Smart Infrastructure Laboratory, is a core faculty member at the Sanghani Center.  He is a 1996 Virginia Tech alumnus with a bachelor’s degree in computer science and mathematics. He earned a doctor of philosophy degree in numerical analysis from Oxford University, where he […]

Advancing Cyberphysical Systems: Sensing, Analytics and Optimization

Registration: RSVP Here Registration Deadline: November 1, 2017 Location: Virginia Tech Research Center – Arlington 900 N. Glebe Rd., Arlington, VA 22203   Description: Advancing Cyberphysical Systems: Sensing, Analytics and Optimization is an opportunity for the leading experts exploring advances in this field to network and discuss the emerging trends both in the theoretical development […]

Elaheh Raisi and Bert Huang awarded ACM/IEEE Best Paper Award at Sydney conference

Elaheh Raisi, a computer science Ph.D. student in the Discovery Analytics Center and her advisor, Bert Huang, assistant professor in the Department of Computer Science, were recently honored with the Best Paper Award at the 2017 IEEE/Association for Computing Machinery International Conference on Advances in Social Networks Analysis and Mining (ASONAM), in Sydney, Australia.

Center for American Progress report cites Discovery Analytics Center collaboration with commonwealth of Virginia as example of improving workforce data

A Center for American Progress report on using open data standards to enhance the quality and availability of online job postings has highlighted the Gov. Terry McAuliffe’s Commonwealth Consortium for Advanced Research and Statistics (CCARS) and its work with the Discovery Analytics Center at Virginia Tech to develop the Open Data, Open Jobs Initiative. The […]

DAC Ph.D. student Rupinder Paul Khandpur invited to speak at CyCon

 Rupinder Paul Khandpur, a DAC Ph.D student in computer science, was invited to speak to a group of analysts at the 2017 International Conference on Cyber Conflict (CyCon). The conference, held in Tallinn, Estonia, focused on the fundamental aspects of cyber security with a theme of Defending the Core.