
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, KDnuggets
- 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
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.