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SIGKDD 2011 to Honor Outstanding Doctoral Dissertations


 
  
Michael Hay won for "Enabling Accurate Analysis of Private Network Data"; Runner up is Tianyi Wu, for "A Framework for Promotion Analysis in Multi-Dimensional Space". The award is for outstanding research by doctoral candidates in the field of data mining and knowledge discovery.


Date:

July 28, 2011. This year's upcoming SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), to be held in San Diego, will highlight the 4th annual ACM SIGKDD Doctoral Dissertation Award presentations. The award seeks to recognize outstanding research by doctoral candidates in the field of data mining and knowledge discovery. Since its inception in 2008, the interest in the award program has increased dramatically resulting in a number of very high quality nominations from prominent institutions across the world.

ACM SIGKDD
The SIGKDD Dissertation Award Committee is pleased to announce Dr. Michael Hay's dissertation titled "Enabling Accurate Analysis of Private Network Data" (advisors: David Jensen and Gerome Miklau, UMAS Amherst) as the winner of the 2011 award. Dr. Hay's dissertation presents several discoveries and innovations in the area of privacy-preserving analysis of relational data. These findings are likely to have important implications for preserving personal privacy while analyzing data in social networks. His dissertation was selected from among a number of very strong candidates and receiving this award serves as a clear recognition of its contributions to the KDD community.

SIGKDD will also recognize the runner up dissertation by Dr. Tianyi Wu, titled "A Framework for Promotion Analysis in Multi-Dimensional Space" (advisor: Jiawei Han, University of Illinois Urbana-Champaign). Both the winner and the runner up will be recognized at the KDD conference with plaques and will have the opportunity to present a summary of their dissertations during the conference. As the overall winner, Dr. Hay will also receive a $2,500 honorarium from SIGKDD.

This year, the Dissertation Award Committee has also chosen to recognize Dr. Gaurav Pandey (Dissertation: "Data Mining Techniques for Enhancing Protein Function Prediction" ; Advisor: Vipin Kumar, University of Minnesota) with a certificate of recognition for excellent contributions to KDD research. Two additional finalists will receive honorable mentions from among the candidates to acknowledge important contributions made by their dissertations. These two finalists are: Wenjun Zhou (Dissertation: "Correlation Analysis: From Computation Hardness to Practical Success"; Advisor: Hui Xiong) and Loic Cerf (Dissertation: "Constraint-Based Mining of Closed Patterns in Noisy N-Ary Relations"; Advisor: Jean-Fran├žois Boulicaut)

Additional Information about the SIGKDD Dissertation Awards including eligibility criteria and the list of Committee members can be found at the SIGKDD Web site: www.sigkdd.org/awards_dissertation.php


Contacts:
Dr. Bamshad Mobasher, Chair
SIGKDD Doctoral Dissertation Award Committee
Email: mobasher@cs.depaul.edu

Fran Spinola
ACM

Email: spinola@acm.org


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