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Lead Faculty, Master of Applied Data Science

rajasekar@unc.edu

Research Areas:

Data grids, digital libraries, persistent archives and artificial intelligence.


Arcot Rajasekar is lead faculty in the master of applied data science program teaching “Introduction to Data Science.” He is also professor at the UNC School of Information and Library Science (SILS) and a chief scientist at the Renaissance Computing Institute (RENCI). Previously he was at the San Diego Supercomputer Center at the University of California, San Diego, leading the Data Grids Technology goup. He has been involved in research and development of data grid middleware systems for over a decade and is a lead originator behind the concepts in the Storage Resource Broker (SRB) and the integrated Rule Oriented Data Systems (iRODS), two premier data grid middleware developed by the Data Intensive Cyber Environments (DICE) group.

A leading proponent of policy-oriented, large-scale data management, Rajasekar has several research projects funded by the National Science Foundation, the National Archives, National Institute of Health and other federal agencies. He has more than 150 publications in the areas of data grids, digital library, persistent archives, logic programming, and artificial intelligence. His latest projects include the Datanet Federation Consortium and DataBridge, building a social network platform for scientific data.