Vipin Kumar, PhD

William Norris Professor and Head,
Computer Science and Engineering Department, College of Science and Engineering

Vipin Kumar

Contact Info

kumar001@umn.edu

Office Phone 612-624-8023

Office Address:
Room 4-192 EE/CSci

Mailing Address:
Room 4-192 EE/CSci
200 Union Street SE
Minneapolis, MN 55455

Administrative Assistant Name
Liz Freppert

Administrative Phone
612-625-1890

Administrative Email
freppert@cs.umn.edu

Administrative Fax Number
612-625-0572

William Norris Professor and Head,
Computer Science and Engineering Department
, College of Science and Engineering

Affiliate Faculty, Institute for Health Informatics


PhD, University of Maryland (Computer Science), 1982

ME, Philips International Institute (Electronics Engineering), 1979

BE, Indian Institute of Technology (Electronics & Communication Engineering), 1977

Summary

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 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, 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) 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, editor-in-chief of IEEE Intelligent Informatics Bulletin, and editor of Data Mining and Knowledge Discovery Book Series published by CRC Press/Chapman Hall. Kumar also serves or has served on the editorial boards of IEEE Transactions of Data and Knowledge Engineering, Data Mining and Knowledge Discovery, Knowledge and Information Systems, IEEE Computational Intelligence Bulletin, Annual Review of Intelligent Informatics, the Journal of Parallel and Distributed Computing, IEEE Concurrency (1997-2000), and IEEE Parallel and Distributed Technology (1995-1997). He is a Fellow of the ACM, IEEE and AAAS, and a member of SIAM. 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.

Awards & Recognition

  • Distinguished Alumnus Award, Computer Science Department, University of Maryland, College Park, 2009
  • IEEE ICDM 2008 Outstanding Service Award, December 2008
  • Elected Fellow of AAAS (American Association of Advancement of Science), 2006
  • Named to the Alumni Hall of Fame, Computer Science Department, Univerisy of Maryland, College Park, 2006
  • Elected Fellow of the ACM, 2005

Research

Research Summary/Interests

High-Performance Computing, Data Mining, Bioinformatics

Publications