Arcot Rajasekar

Frances Carroll McColl Term Professor,
School of Information and Library Science (SILS)

Director of Research & Technology,
Data Intensive Cyber Environments (DICE) Center

Chief Scientist,
Renaissance Computing Institute (RENCI)

Manning Hall Room 21
RENCI Room 556A

Integrated Rule-Oriented Data System (iRODS) Consortium

Expertise and Interests:
Data grids, digital libraries, persistent archives and artificial intelligence

B.S., University of Madras
B.E. (Hons), (Electronics & Communications), Indian Institute of Technology, Madras
M.S. (Computer Science), Indian Institute of Technology, Madras
Ph.D. (Computer Science), University of Maryland, College Park

Dr. Arcot Rajasekar is a Professor in the School of Information and Library Sciences at the University of North Carolina at Chapel Hill, a Chief Scientist at the Renaissance Computing Institute (RENCI), and co-Director of Data Intensive Cyber Environments (DICE) Center at UNC. Previously he was at the San Diego Supercomputer Center at the University of California, San Diego, leading the Data Grids Technology Group. 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 Group. A leading proponent of policy-oriented, large-scale data management, Dr. Rajasekar has several research projects funded by the National Science Foundation, the National Archives, National Institute of Health and other federal agencies. Dr. Rajasekar 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.

Courses Recently Taught:
Intro to Big Data and NoSQL
Database Systems III
Smart Cities
Information Analytics