Jian Pei is a Canada Research Chair (Tier 1) and a Professor of Computing Science at Simon Fraser University, Canada, and a Fellow of the IEEE. His research has focused on effective and efficient approaches to analyze and capitalize on big data in various applications. He has published prolifically over the core frontiers of data mining, including pattern mining, classification, clustering, anomaly detection and outlier analysis. His technical publications have been cited extensively, tens of thousands of times.
Professor Pei has made prominent contributions to the foundation, principles and applications of data mining. Together with his collaborators, he developed a series of ground-breaking frequent pattern mining methods, which have been adopted by popular data mining textbooks and used by many researchers and in industry applications. He is also proactive and strategic in extending the boundary of data mining. He contributed the major ideas of multidimensional skyline analysis, a well-seasoned integration of ideas and methods from data mining and databases.
In addition to his fundamental technical contributions, Professor Pei has also made exemplary and invaluable contributions in service to the data mining research community through journal editorship and key organizers of premier data mining conferences.
2014 IEEE ICDM Nomination and Evaluation Committees