Karypis' research interests are concentrated in the areas of data mining, recommender systems, learning analytics, high-performance computing, and chemical informatics and from time-to-time, he looks at various problems in the areas of health informatics, information retrieval, bioinformatics, and scientific computing. Within these areas, his research focuses in developing novel algorithms for solving important existing and/or emerging problems, and on developing practical software tools implementing some of these algorithms. The results from this research have been presented in various conferences and published in leading peer reviewed journals and highly selective conference proceedings.
Ph.D. in Computer Science, University of Minnesota (1996) B.S. in Computer Science, University of Minnesota (1992)
George Karypis joined the Department of Computer Science & Engineering in 1999. He was promoted to full professor in 2009. He is the co-author of two books and has contributed to the development of multiple software libraries. Additionally, he serves on the program committees of many conferences and workshops, and on the editorial boards of the IEEE Transactions on Big Data, ACM Transactions on Knowledge Discovery from Data, Data Mining and Knowledge Discovery, Journal of Data Science and Analytics, Social Network Analysis and Data Mining Journal, International Journal of Data Mining and Bioinformatics, the journal on Current Proteomics, Advances in Bioinformatics, and Biomedicine and Biotechnology. He is an IEEE Fellow.