People: Vipin Kumar

Vipin Kumar

Department of Computer Science and Engineering
4-192, EE/CSci Building
University of Minnesota
kumar@cs.umn.edu
http://www.cs.umn.edu/~kumar/
Ph: (612) 625 0726

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 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 high-performance computing and data mining. 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, including IEEE International Conference on Data Mining (2002) and 15th International Parallel and Distributed Processing Symposium (2001).

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. Kumar serves or has served on on the editorial boards of Data Mining and Knowledge Discovery, Knowledge and Information Systems, IEEE Computational Intelligence Bulletin, Annual Review of Intelligent Informatics, Parallel Computing, the Journal of Parallel and Distributed Computing, IEEE Transactions of Data and Knowledge Engineering (93-97), IEEE Concurrency (1997-2000), and IEEE Parallel and Distributed Technology (1995-1997). He is a Fellow of the ACM and IEEE, and a member of SIAM. Kumar received the 2005 IEEE Computer Society’s Technical Achievement Award for contributions to the design and analysis of parallel algorithms, graph-partitioning, and data mining.