We are going to have seminal talks by renowned luminaries in data science and will be updating this space with more details soon.
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 67,000 citations to his work and his h-index is 92. 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 resceived IEEE ICDM Research Contributions Award, which is IEEE’s highest recognition for research achievements in Data Mining. Furthermore, he 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.