Vipin Kumar

He/Him

Regents Professor, William Norris Land Grant Chair in Large-Scale Computing, ADC Data Science Initiative Director Chair, Department of Computer Science & Engineering

Contact

kumar001@umn.edu

612-624-8023

5-225C Kenneth H. Keller Hall
200 Union Street Se
Minneapolis, MN 55455

Vipin Kumar

He/Him

Regents Professor, William Norris Land Grant Chair in Large-Scale Computing, ADC Data Science Initiative Director Chair, Department of Computer Science & Engineering

Biography

Education

Ph.D. in Computer Science, University of Maryland, College Park (1982)
M.E. in Electronics Engineering, Philips International Institute (1979)
B.E. in Electronics & Communication Engineering, Indian Institute of Technology, Roorkee (1977)

Professional Background

Vipin Kumar joined the Department of Computer Science & Engineering in 1989 as an associate professor and has since been promoted to a professor. He has been the William Norris Land Grant Chair of the department since 2005 and was named a Regents Professor in 2015. Kumar’s research has been widely cited, with over 127,000 total citations. He was named an IEEE Fellow in 2000, received the IEEE Technical Achievement Award in 2005, and received the Association for Computing Machinery Special Interest Group on Knowledge Discovery and Data Mining Innovation Award in 2012.

Visit Vipin Kumar's Experts@Minnesota profile page.

Research

Kumar's current research interests span data mining, high-performance computing, and their applications in climate/ecosystems and health care. 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). Kumar's current major research focus is on bringing the power of big data and machine learning to understand the impact of human induced changes on the Earth and its environment.

Research Division
Data Science and Machine Learning

Current Research
Google Scholar
Bioinformatics and Computational Biology
Discovery of Patterns in the Global Climate System using Data Mining

Ph.D. Graduates
Saurabh Agrawal (2018); Varun Mithal (2018); Kashif Riaz (2018); Anuj Karpatne (2017); Pranjul Yadav (2017); Xi Chen (2016); Sean Landman (2016); Sanjoy Dey (2015); Loren Gragert (2014); Gowtham Atluri (2014); Vanja Paunic (2014); James Faghmous (2013); Jaya Kawale (2013); Gang Fang (2012); Rohit Gupta (2010); Gaurav Pandey (2010); Shyam Boriah (2010); Varun Chandola (2009); Gyorgy Simon (2008); Eric Eliertson (2007); Mark Shaneck (2007); Michael Steinbach (2005); Bilgehan Uygar Oztekin (2005); Pusheng Zhang (2005); Hui Xiong (2005); Mahesh Joshi (2002); Pang Tan (2002); Bill Leinberger (2001); Kirk Schloegel (1999); Sam Han (1999); Venkat G. Ajjanagadde (1997); Tom Nurkkala (1996); Minesh Amin (1996); George Karypis (1996); Ananth Grama (1996); Anshul Gupta (1995); Dan Challou (1994); Tim Mikula (1994); V. N. Rao (1990); Eric Hartman (1989); Yow-Jian Lin (1988).

Recent News

Vipin Kumar Collaborates with U of M Medical School on $1.4 Million Grant
New study could help reduce agricultural greenhouse gas emissions
CS&E makes big showing at IEEE BigData 2021
Karypis and Kumar receive Test of Time award at SC21
Kumar's climate work featured on Minnesota Public Radio
Vipin Kumar appointed first director of Data Science Initiative
University of Minnesota is part of $25M AI-based climate modeling center
New machine learning methods could improve environmental predictions
CS&E faculty ranked among top CS researchers in the world
Kumar collaborates to study carbon credits for farmers
CS&E professor initiates data mining conference’s first-ever ‘Earth Day’
University of Minnesota to develop techniques for monitoring global change

Teaching

Publications & Awards

Honors and Awards

2023: AAAI Fellow
2016: Institute on the Environment Fellow
2015: Regents Professorship
2012: ACM SIGKDD Innovation Award
2006: American Association for the Advancement of Science (AAAS) Fellows
2006: ACM Fellows Program
2005: William Norris Land Grant Chair in Large-Scale Computing
2005: IEEE Technical Achievement Award
2000: IEEE Fellow

Selected Grants
Knowledge Guided Machine Learning: A Framework for Accelerating Scientific Discovery
Kumar, V. & Steinbach, M.; National Science Foundation; 9/1/19 - 8/31/23

BIGDATA: F: Advancing Deep Learning to Monitor Global Change
Kumar, V., Pardey, P. G., Senay, S. D., Steinbach, M. & Wilgenbusch, J.; National Science Foundation; 11/1/18 - 10/31/23

INFEWS/T3: Innovations for Sustainable Food, Energy, And Water Supplies In Intensively Cultivated Regions: Integrating Technologies, Data, And Human Behavior
Hunt, N. D., Mulla, D. J., Peterson, J. M., Dalzell, B. J., Davenport, M. A., Garcia y Garcia, A., Hill, J. D., Kumar, V., Levers, L., Pradhananga, A. K., Strock, J. S. & Wilke, A. K.; National Science Foundation; 10/1/17 - 3/31/23