Awards

Best Paper Competitions

INFORMS 2018 Data Mining Best Paper Awards

The Data Mining (DM) Section of INFORMS announces the Data Mining Best Paper Awards to recognize excellence among its members, particularly its student members.

- Two awards will be given for applied and/or methodological papers. At least one of these (possibly both) will be awarded to a student.

- Two awards will be given for theoretical papers with/without a methodological component. At least one of these (possibly both) will be awarded to a student.

In order to submit a paper by a student,

  1. The presenting student author must be a student on or after January 1, 2018.
  2. The research must have been conducted while the presenting author was a student.
  3. The paper must be written by the student author(s) with minor assistance from advisors. The effort of the student(s) must comprise at least 50% of the work presented in the paper.
  4. The presenting student author must be a member of the Data Mining Section.
  5. The student author must be available to present the work at a session at the 2018 INFORMS Annual Meeting.
  6. Papers will not be published as part of the competition. Student papers can be in any stage with regard to publication (unpublished, submitted, published, etc.).

 

In order to submit a paper by a non-student,

  1. The presenting author must be a member of the Data Mining Section.
  2. The presenter must be available to present the work at a session at the 2018 INFORMS Annual Meeting.
  3. No version of the paper can be published or accepted at the time of submission. This is for unpublished work only.

 

Papers must be submitted with a maximum of 20 printed pages including appendix and bibliography (1 inch margins, single column, single-spaced, 12 point font, and Times New Roman).

Candidates who meet the above criteria and wish to submit their paper for consideration can submit their papers to the competition chair, Dr. Tong Wang via email (tong-wang@uiowa.edu) by July 15, 2018. The subject of the email should be "2018 DM Best Paper Award Submission – candidate type - track". For example, if you are a student and are submitting an applied paper, the subject should be “2018 DM Best Paper Award Submission – student - applied”.  Late submissions will not be accepted.

All awardees will make presentations at the INFORMS 2018 Annual Meeting in Phoenix, AZ (November 04-07, 2018). The winners will be announced at the INFORMS DM Business Meeting and all winners will receive an award certificate.

 

Past Awardees

  • INFORMS 2017 Data Mining Best Paper Awards: The information on the four finalists and their papers (presenting student's name is highlighted in bold) are as follows:

    Applied Track 
    • "Data Science Based Simulation and Optimization of Soybean Variety Selection" by Durai Sundaramoorthi (non-student), Washington University in Saint Louis.

    • "Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning" by Chen Zhang (student), National University of Singapore   

  • Theoretical Track  
    • "Wasserstein Distributional Robustness and Regularization in Statistical Learning" by Rui Gao  (student), Georgia Institute of Technology.

    • "Frequentist Consistency of Variational Bayes" by Yixin Wang (student), Columbia University

Here is the photo of the finalists: 
 

2017 Paper Awards
DM Section 2017 Best Paper Awards (from left to right :  Onur Seref (DM Section chair), Rui Gao, Yixin Wang, Chen Zhang, Durai Sundaramoorthi and Tong Wang (DM section Officer)

  
2017 DMA Workshop Non-Student Paper Award Winner


 Changqing Cheng, State University of New York at Binghamton
 "Multi-scale Gaussian Process for Dynamic Evolution Prediction of Complex Systems "

Non-student paper competition winner, Changqing Cheng, taking his award.





PAST AWARDS

INFORMS 2016  Data Mining Best Paper Awards: 
The information on the four winners and their papers (presenting person's name is highlighted in bold) are as follows:

  • "Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery" by Tuo Zhao from John Hopkins University.

    Tuo_Zhao-min.jpg

    • "Robust PCA via L1-Norm Line Fitting" by Paul Brooks and Jose Dula from Virginia Commonwealth University.

      Paul_Brooks-min.jpg

    • "Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining" by Chitta Ranjan from Georgia Tech.

      Chitta_Ranjan-min.jpg

    • "Residual Useful Lifetime Prediction Using a Degradation Image Stream" by Xiaolei Fang from Georgia Tech

      Xiaolei_Fang-min.jpg

       

    • INFORMS 2015 Data Mining Best Student Paper Finalists: The information on the four finalists and their papers (presenting student's name is highlighted in bold) are as follows:

      • "Sparse Precision Matrix Selection for Fitting Gaussian Random Field Models to Large Data Sets" by Sam Davanloo Tajbakhsh, Enrique Del Castillo and Necdet Serhat  Aybat from Penn State University.

      • "Falling Rule Lists" by Fulton Wang and Cynthia Rudin from MIT.

      • "Sensor-Driven Condition-Based Generation Maintenance and Operations Scheduling" by Murat Yildirim and Nagi Gebraeel from Georgia Tech.

      • Winner: "When Wind Meets Turbines: A New Statistical Approach for Characterizing the Heterogeneous Wake Effects in Multi-turbine Wind Farms" by Mingdi You and   Eunshin Byon from University of Michigan.

    Here are some photos of the finalists: