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Vipin Kumar is currently William Norris Professor and Head of the Computer Science and Engineering Department at the University of Minnesota. He also served as the Director of Army High Performance Computing Research Center (AHPCRC) from 1988 to 2005. Kumar received the B.E. degree in electronics & communication engineering from Indian Institute of Technology Roorkee (formerly, University of Roorkee), India, in 1977, the M.E. degree in electronics engineering from Philips International Institute, Eindhoven, Netherlands, in 1979, and the Ph.D. degree in computer science from University of Maryland, College Park, in 1982. Kumar's current research interests include data mining, high-performance computing, and their applications in Climate/Ecosystems and Biomedical domains. His research has resulted in the development of the concept of isoefficiency metric for evaluating the scalability of parallel algorithms, as well as highly efficient parallel algorithms and software for sparse matrix factorization (PSPASES) and graph partitioning (METIS, ParMetis, hMetis). He has authored over 200 research articles, and has coedited or coauthored 10 books including widely used text books ``Introduction to Parallel Computing'' and ``Introduction to Data Mining'', both published by Addison Wesley. Kumar has served as chair/co-chair for many internaional conferences and workshops in the area of data mining and parallel computing, including IEEE International Conference on Data Mining (2002) and International Parallel and Distributed Processing Symposium (2001). In 2001, Kumar co-founded SIAM International Conference on Data Mining and served as its steering committee chair until 2007. Currently, Kumar serves on the steering committees of the SIAM International Conference on Data Mining, the IEEE International Conference on Data Mining and the IEEE International Conference on Bioinformatics and Biomedicine. Kumar is a founding co-editor-in-chief of Journal of Statistical Analysis and Data Mining, and editor of Data Mining and Knowledge Discovery Book Series published by CRC Press/Chapman Hall. Kumar is a Fellow of the ACM, IEEE and AAAS. Kumar received the 2009 Distinguished Alumnus Award from the Computer Science Department, University of Maryland College Park, and 2005 IEEE Computer Society's Technical Achievement Award for contributions to the design and analysis of parallel algorithms, graph-partitioning, and data mining.
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