- Ph.D., University of California at Berkely, 2004
Dr. Amol Deshpande is an Associate Professor in the Department of Computer Science at the University of Maryland with a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS). He received his Ph.D. from University of California at Berkeley in 2004, and his B.Tech. degree from Indian Institute of Technology, Bombay in 1998.
Dr. Deshpande's primary research area is Databases, and his research has spanned a spectrum of data management topics including query optimization, adaptive query processing, sensor network data management, scalable statistical modeling of data, uncertain data management, graph databases, and energy-efficient data management. His current research efforts focus on the challenges in managing and querying the inherently imprecise, incomplete, and uncertain data generated in environments like sensor networks, data streams, data integration, information extraction, and social networks. He has written over 50 research publications, and has received best paper awards at the VLDB 2004, EWSN 2008, and VLDB 2009 conferences. He received an NSF CAREER award in 2006. Dr. Deshpande has served as a program committee member for many conferences in databases and sensor networks, is on the editorial board for the Journal of Distributed and Parallel Databases, and has served on several NSF Review Panels. He also served as a Program Committee Vice-Chair for the IEEE International Conference on Data Mining (ICDM) in 2008 and IEEE International Conference on Data Engineering (ICDE) in 2011 and 2013.
Honors and Awards