2005 Technical Achievement Award Recipient
“For contributions to the design and analysis of parallel algorithms, graph partitioning, and data mining”
Vipin Kumar is currently William Norris Professor and Head of the Computer Science and Engineering Department at the University of Minnesota. He received the B.E. degree in electronics & communication engineering from the Indian Institute of Technology, 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 the University of Maryland, College Park, in 1982.
Kumar’s current research interests include data mining, bioinformatics, and high performance computing. 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), graph partitioning (METIS, ParMetis, hMetis) and dense hierarchical solvers. He has authored over 200 research articles, and has co-edited or coauthored 9 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 conferences/workshops in the area of data mining and parallel computing. Kumar serves as the chair of the steering committee of the SIAM International Conference on Data Mining, and is a member of the steering committee of the IEEE International Conference on Data Mining and the International Conference on Bioinformatics and Biomedicine. Kumar is founding co-editor-in-chief of the Journal of Statistical Analysis and Data Mining, editor-in-chief of the IEEE Intelligent Informatics Bulletin, and series editor of the Data Mining and Knowledge Discovery Book Series published by CRC Press/Chapman Hall. Kumar is a Fellow of the ACM, IEEE and AAAS.