The Intelligence Advanced Research Projects Activity (IARPA) invests in high-risk, high-payoff research programs to tackle some of the most difficult challenges of the agencies and disciplines in the Intelligence Community. IARPA is a United States research agency under the Director of National Intelligence’s responsibility. More about IARPA

Many significant societal events are preceded and/or followed by population-level changes in communication, consumption, and movement. Some of these changes may be indirectly observable from publicly available data, such as web search queries, blogs, micro-blogs, internet traffic, financial markets, traffic webcams, Wikipedia edits, and many others. Published research has found that some of these data […]

EMBERS is a fully automated 24×7 forecasting system for significant societal events using open source data including: tweets, Facebook pages, news articles, blog posts, Google search volume, Wikipedia, meteorological data, economic and financial indicators, coded event data, online restaurant reservations (Open Table), satellite imagery.

Parang Sarag was a DAC Ph.D. student in the Department of Computer Science. His advisor was Naren Ramakrishnan, director of DAC. He did his undergraduate studies in computer science at the Indian Institute of Technology (IIT), Kharagpur. He has also worked in the industry for four years, two as a software developer and two as a patent analyst. His […]

Naren Ramakrishnan is the Thomas L. Phillips Professor of Engineering at Virginia Tech. His research interests include data science, applied machine learning, forecasting, and urban analytics. Ramakrishnan founded and directs the Sanghani Center for Artificial Intelligence and Data Analytics, a university-wide effort at Virginia Tech that brings together researchers from computer science, statistics, mathematics, and […]

Academic Approach Data science is one of the fastest growing career paths in the nation, but unfortunately the demand for technical expertise is out-pacing supply.  Technical expertise is needed to develop new methods, tools, and infrastructures required to support novel big data analytics operations in industry, government, and academia. The successful practice of data science […]

About The Sanghani Center The Sanghani Center for Artificial Intelligence and Data Analytics at Virginia Tech is at the forefront of scientific innovation, leading Tech’s efforts in “big data” research and education on campus. We offer deeply technical undergraduate and graduate programs in analytics and our faculty conduct leading-edge research in visual and text-based data […]

Congratulations to Aditya Prakash on his Facebook Faculty Award, one of only 10 such awards given this year! The award will support novel information diffusion related research focusing on understanding, predicting and countering virality on social-media websites and platforms. For example, some of the questions Aditya will study include: “What content could go viral? How […]

Congratulations to Saurav Ghosh! The DAC/CS Ph.D. student co-authored SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources“, which garnered the Best Paper Award at the SIAM International Conference on Data Mining held in Vancouver, Canada.