2010 SIGKDD Service Award: Prof. Osmar R. Zaïane

2010 SIGKDD Service Award Award Winner

ACM SIGKDD is pleased to announce that Prof. Osmar R. Zaïane is the winner of its 2010 Service Award. He is recognized for his significant service and contributions to the global KDD community.

Prof. Zaïane is currently the Secretary-Treasurer of ACM SIGKDD. He is also the Editor-in-Chief of SIGKDD Explorations, the flagship newsletter of SIGKDD, since 2007 after serving as its Associate Editor from 2004 to 2007.

Prof. Zaïane has a long history of serving the KDD community. In addition to his dedicated service to SIGKDD and its flagship conferences and workshops, he has served the wider KDD community in a wide variety of roles and responsibilities at ICDM, SDM, PAKDD, SIGMOD/PODS, ECML/PKDD, WebKDD, MDM, etc. He has served as technical program co-chair, conference vice-chair, tutorials chair, technical program committee member, exhibits and demos chair, sponsorship chair, proceedings chair, registration chair, publicity chair, webmaster, and other volunteer positions. He currently serves on the steering committee of IEEE ICDM.

He also actively promotes data mining in many international communities through active participation. In China for the past several years, he organized and chaired the International Conference on Advanced Data Mining and Applications (ADMA). He currently serves on ADMA’s steering committee. He was Honorary General Chair of EGC, the French data mining conference. He was conferred the 2009 IEEE ICDM Outstanding Service Award.

Prof. Zaïane is currently a McCalla and Killam Professor of Computing Science at the University of Alberta , Canada as well as the Scientific Director of the Alberta Ingenuity Center for Machine Learning, a world renowned centre conducting fundamental and applied research in machine learning.

Prof. Zaïane received his PhD in 1999 from Simon Fraser University, Canada. He joined the University of Alberta , Canada in 1999 and is now a full Professor at its Department of Computing Science. He is one of the leading researchers in data mining, machine learning, and database fields and contributed over one hundred publications. He is on the editorial board of many journals. After working for many years on canonical tasks such as outlier detection, clustering, associative classification, community mining in information networks, etc., he is lately focusing on applications in healthcare and finance.

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