B. Tech. in Electrical Engineering from the Indian Institute of Technology, M.S. and Ph.D. in Computer Science from the University of California.
Position with Tata Unisys Ltd.
Large-cale, Distributed Applications such as Multimedia Databases, Data Warehouses, and Digital Libraries.
Assurable Software and Architecture
Developing techniques that improve I/O performance for traditional and multimedia databases. Has developed declustering algorithms for multidimensional data that result in increased parallel I/O scheduling algorithms for robotic removable media libraries.
Query Indexing and Velocity Constrained Indexing: Scalable Techniques for Continuous Queries on Moving Objects, IEEE Transactions on Computers, Vol. 51, No. 10 (October 2002). Querying Imprecise Data in Moving Object Environments, IEEE International Conference on Data Engineering (ICDE) (2003). (Almost) Optimal Parallel Block Access for Range Queries, Proceedings of the International Conference on Principles of Database Systems(PODS) (May 2000).
Dr. Prabhakar's research focuses on issues in large-scale, distributed applications such as multimedia databases, data warehouses, and digital libraries. The efficient execution of I/O is a critical problem for these applications. He is currently developing techniques that improve I/O performance for traditional and multimedia databases. He has developed declustering algorithms for multidimensional data that result in increased parallel I/O scheduling algorithms for robotic removable media libraries. Dr. Prabhakar's interest also lies in the design and development of digital libraries for the management and study of scientific research data. Prior to joining Purdue, Dr. Prabhakar held a position with Tata Unisys Ltd. from 1990 to 1994.
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