2016 SIGKDD Service Award to Wei Wang

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2016 SIGKDD Service Award to Wei Wang

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Prof. Wei Wang wins ACM SIGKDD 2016 Service Award for her significant technical contributions to the principles, practice and application of data mining and for her outstanding services to society and the data mining community.





By SIGKDD.

ACM SIGKDD is pleased to announce that Wei Wang is the winner of its 2016 Service Award for her exceptional technical contributions to the foundation and practice of data mining and for her excellent services to the data mining community.

ACM SIGKDD Service Award is the highest service award in the field of knowledge discovery and data mining (KDD). It is conferred on one individual or one group for their outstanding professional services and contributions to the field of knowledge discovery and data mining.

Wei WangWei Wang has a long history of serving and promoting the data mining field. As a world leading researcher in data mining, she has served as a key organizer in major data mining conferences, including ACM KDD, ICDM, SIAM Data Mining, for many years, and has also served in over 100 program committees. In additional, she chaired numerous award committees. She has been associate editors of the ACM Transactions on Knowledge Discovery in Data, IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems, Data Mining and Knowledge Discovery, IEEE Transactions on Big Data.

Moreover, Wei Wang is a pioneer in applying data mining methods to biomedical domains. She has been a key organizer of the ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM BCB) since its first meeting. She has also served in the program committees of other premium bioinformatics conferences ISMB, RECOMB, and BIBM. She is an Associated Editor of the IEEE/ACM Transactions on Computational Biology and Bioinformatics. She was elected to the Board of Directors of the ACM Special Interest Group on Bioinformatics, Computational Biology, and Biomedical Informatics (SIGBio) in 2015 for her leadership in this cross-disciplinary field.

Wei Wang has fully engaged herself in recruiting, mentoring, and promoting young researchers, especially students from female and underrepresented minority groups. To broaden participation of students, especially female and minority students, in premier conferences, she has led the efforts of applying for NSF grants to support student travel fellowships five times in the past that enabled hundreds of students to attend the conferences. She led the effort of promoting “women in computing” at the ACM BCB conferences, featuring keynote speeches by distinguished female scholars, forums promoting research by female faculty and students, and travel awards to female students.

Wei Wang received a M.S. degree from Binghamton University and a Ph.D. degree from University of California, Los Angeles (UCLA). She is currently a professor at UCLA, and co-directs the UCLA Scalable Analytics Institute and the NIH BD2K Centers-Coordination Center. Wei Wang has made many contributions to the fields of clustering high dimensional data, sequential pattern mining, and graph mining. She is also a pioneer in applying data mining methods to biomedical domains. She has published over 150 research papers which include two best paper awards. Her contributions were also recognized by an NSF CAREER Award, a Microsoft Research Faculty Fellow, a Phillip and Ruth Hettleman Prize for Artistic and Scholarly Achievement, an Okawa Foundation Research Award, and an ICDM outstanding Service Award.

The fourteen previous SIGKDD Service Award winners have been: Gregory Piatetsky-Shapiro, Ramasamy Uthurusamy, Usama Fayyad, Xindong Wu, The Weka team, Won Kim, Robert Grossman, Sunita Sarawagi, Osmar R. Zaïane, Bharat Rao, Ying Li, Gabor Melli, Ted Senator, and Jian Pei.

The award includes a plaque and a check for $2,500 and will be presented during the Opening Plenary Session of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015), on Sunday August 14th in San Francisco, U.S.A.

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July 13, 2016 at 11:58PM

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