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   Samy to All   
   ANN: ACM SIGKDD 2012 Service Award to Dr   
   24 Jul 12 05:34:35   
   
   From: Ramasamy Uthurusamy   
   Date: 16 July 2012   
   Subject: ACM SIGKDD 2012 Service Award to Dr. Ying Li   
      
   ACM SIGKDD is pleased to announce that Dr. Ying Li is the winner   
   of its 2012 Service Award.  Dr. Ying Li is recognized for her substantial   
   technical contributions to the practice and application of data mining   
   and for her outstanding service to the global KDD 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.   
      
   Dr. Li is a leading practitioner in big data and large-scale knowledge   
   discovery, data mining and analytics.   Dr. Li is a pioneer in internet   
   scale data mining, applying her extensive academic and industry research   
   expertise at Computer Research Institute of Montreal and to the first big   
   data analytics effort at Microsoft in 1998.  She continued to advance the   
   field in subsequent years, building state of the art technologies in data   
   mining, machine learning, information retrieval, computational   
   advertising, internet monetization, business intelligence, online privacy,   
   and personal data.  She holds over 50 patents filed, has collaborated with   
   over 100 researchers and data scientists, and has built and led world class   
   data mining organizations of over 300 people.   
      
   Over the last fifteen years, Dr. Li has actively served the data mining   
   community as a leader, contributor, and mentor to many colleagues   
   and up and coming scientists. In the annual ACM SIGKDD international   
   conferences, she has served as Conference General Chair, Local   
   Arrangement Chair, KDDCup Chair, Industry and Government track   
   Co-Chair, and Industry Practice Expo Co-Chair.  She championed for   
   the data mining practice across academia and industry, helping create   
   industry career tracks for data scientists, and is responsible for over ten   
   industry research grants and sponsorships to the global KDD community.   
      
   Dr. Li received B.Sc. and M.Sc. in Mathematics from Peking University,   
   Beijing, China, and Ph.D. in Computer Science from the University of   
   British Columbia, Vancouver, Canada.   She is currently the Chief   
   Scientist and Co-Founder of Concurix Corporation, a new startup   
   building high performance operating systems for big data and big compute.   
      
   The previous SIGKDD Service Award winners were Gregory   
   Piatetsky-Shapiro, Ramasamy Uthurusamy, Usama M. Fayyad,   
   Xindong Wu, the Weka team led by Ian Witten and Eibe Frank,   
   Won Kim, Robert Grossman, Sunita Sarawagi, Osmar R. Zaiane,   
   and R. Bharat Rao.   
      
   The award includes a plaque and a check for $2,500 and will be   
   presented at the Opening Plenary Session of the 18th ACM SIGKDD   
   International Conference on Knowledge Discovery and Data Mining,   
   on August 12, 2012 in Beijing, China.   
      
   ACM SIGKDD is pleased to present Dr. Ying Li its 2012   
   Service Award for her outstanding service and contributions   
   to the global KDD community.   
      
   2012 ACM SIGKDD Awards Committee   
   *	Ramasamy Uthurusamy, Chair   
   *	Chid Apte, IBM Research   
   *	Christos Faloutsos, Carnegie Mellon University   
   *	Bing Liu, University of Illinois at Chicago   
   *	Gregory Piatetsky-Shapiro, KD Nuggets   
   *	Daryl Pregibon, Google   
   *	J. Ross Quinlan, Rulequest   
   *	Ted Senator, SAIC   
   *	Padhraic Smyth, University of California at Irvine   
   *	Qiang Yang, Hong Kong University of Science and Technology   
   *	Osmar R. Zaiane, University of Alberta - Past Chair   
      
   About ACM SIGKDD Service Award   
   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 KDD field. Services recognized   
   include significant contributions to the activities of professional KDD   
   societies and conferences, leading organizations or projects that   
   contribute technically to the field as a whole, furthering education   
   of students, researchers and practitioners of KDD, funding R&D   
   activities of the KDD community, professional volunteer services in   
   disseminating technical information to the field, and contributions   
   to society at large through applications of KDD concepts to improve   
   global medical care, education, disaster/crisis management,   
   environment, etc. The award includes a plaque and a check for   
   $2,500 and will be presented at the Opening Plenary Session of the   
   annual ACM SIGKDD International Conference on KDD.   
      
   About ACM SIGKDD   
   ACM SIGKDD, ACM's Special Interest Group on Knowledge   
   Discovery and Data Mining (KDD), is the premier global   
   professional organization for researchers and professionals   
   dedicated to the advancement of the science and practice of   
   knowledge discovery and data mining. It established the Innovation   
   and Service Awards to recognize outstanding technical and service   
   contributions to the KDD field.   
      
   About ACM   
   The Association for Computing Machinery (ACM) is the world's   
   largest educational and scientific computing society, uniting   
   computing educators, researchers and professionals to inspire   
   dialogue, share resources and address the field's challenges. ACM   
   strengthens the computing profession's collective voice through   
   strong leadership, promotion of the highest standards, and   
   recognition of technical excellence. ACM supports the professional   
   growth of its members by providing opportunities for life-long   
   learning, career development, and professional networking.   
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