Professor Karypis Awarded IEEE’s Highest Honor for Data Mining

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October 9, 2017

Distinguished McKnight Professor George Karypis has been selected for the 2017 IEEE ICDM Research Contributions Award. The award is IEEE’s highest recognition for research achievements in Data Mining and is annually given to one individual or one group who has made influential research contributions to the field of Data Mining.

Professor Karypis is renowned for seminal contributions in the areas of data mining, recommender systems, and high-performance computing. He has brought his innovative research ideas into practice via a wide-range of high-quality software packages, such as CLUTO and the METIS family of serial and parallel partitioning systems. His software has been incorporated into well over 200 different commercial software systems used by millions of people worldwide and in several hundred academic and government codes.  Some notable companies using his work include Amazon, Netflix, Spotify, and Comcast.

He has also authored and co-authored a large number of highly cited papers in these areas on topics related to clustering, graph mining, pattern discovery, collaborative filtering, and graph partitioning—Google Scholar shows over 56,000 citations to his work and his h-index is 84. He has received numerous awards including the "IEEE ICDM 10-Year Highest-Impact Paper Award" for his work that developed computationally efficient algorithms to mine large graph databases. He also recently received the International World Wide Web Conference's "Seoul Test of Time Award" for his work that pioneered an entirely new way of building recommender systems that exploit relations between items.

He will be presented with the award at the IEEE International Conference on Data Mining series (ICDM), which is the world’s premier research conference in data mining.  It will be held in New Orleans in November.

Please join CS&E in sending our congratulations to Professor Karypis for this outstanding achievement.

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