George Karypis
George Karypis works at the University of Minnesota, where his research spans recommender systems and LLM-based web agents. In September 1998 he, Vipin Kumar, and Kirk Schloegel wrote METIS 4.0 and ParMETIS 2.0, and the Karypis Lab distributes its software on GitHub. He and Xia Ning published SLIM, a sparse linear method for top-N recommender systems, in 2011. The IEEE ICDM Research Contributions Award went to him in 2017, and in 2022 he was a senior principal scientist at AWS AI/ML. As of October 2026, he is a professor in the Department of Computer Science and Engineering at the University of Minnesota.
- Now at
- University of Minnesota and Amazon
- Works
- 876
- Citations
- 64,878
- h-index
- 95
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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September 1998
METIS and ParMETIS software
In September 1998 he, Vipin Kumar, and Kirk Schloegel write METIS 4.0 and ParMETIS 2.0, and the Karypis Lab distributes its software on GitHub.
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2011
SLIM for top-N recommendation
He and Xia Ning publish SLIM, a sparse linear method for top-N recommender systems, in 2011.
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2015
Digital Technology Center chair
Serving as ADC Chair of the Digital Technology Center in 2015, he also works as a professor at the University of Minnesota.
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2017
IEEE ICDM Research Contributions Award
The IEEE ICDM Research Contributions Award goes to him in 2017.
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2020
A ten-year impact award
Xia Ning receives the ICDM 10-Years-Highest-Impact Award in 2020 for her work with him.
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2022
Senior principal scientist at AWS
As a senior principal scientist at AWS AI/ML in 2022, he is also a Distinguished McKnight University Professor.
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2025
A baseline for web agents
His co-authored paper AgentOccam, a simple baseline for LLM-based web agents, appears at ICLR 2025.
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As of October 2026
Professor at Minnesota
He is a professor in the Department of Computer Science and Engineering at the University of Minnesota.
Sources and credits
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- METIS / ParMETIS
- Karypis Lab @ UMN-CS&E · GitHub
- SLIM: Sparse LInear Methods for top-N recommender systems - Experts@Minnesota
- DSI Distinguished Lecture by George Karypis on Big Data Methods, Systems, and Applications
- 2017 IEEE ICDM Research Contributions Award: Professor George Karypis
- 10-Years-Highest-Impact Award from the IEEE International Conference on Data Mining (ICDM) | Computer Science and Engineering
- WSDM'22 – 15th ACM International WSDM Conference
- George Karypis - Experts@Minnesota
- Welcome | George Karypis