Dear Colleagues:
We are pleased to announce four finalists for the 2019 INFORMS QSR best student paper competition. This year we received 38 high-quality student papers. Each paper is evaluated by multiple reviewers. Based on the reviewers' inputs, four finalists were selected as follows.
- Zhen Zhong from Georgia Institute of Technology for the paper entitled "Image-Based Process Control Using Tensor Analysis".
- Rajitha Meka from University of Texas at San Antonio for the paper entitled "An Active Learning Methodology for Efficient Estimation of Noisy Black-Box Functions using Gaussian Process Regression".
- Xiao Huang from Texas A&M University for the paper entitled "Heterogeneous Information Learning in Large-Scale Networks".
- Liyan Xie from Georgia Institute of Technology for the paper entitled "Optimal Sequential Subspace Change-point Detection".
The finalists will make presentations on Monday 8:00 - 9:30 AM, October 21, 2019 at INFORMS. A panel of judges will select one best paper, and the results will be announced at the QSR business meeting.
Congratulations to the finalists! Many thanks to all the reviewers for their time and efforts in the process! We look forward to seeing you all at INFORMS 2019.
Contest Organizers:
Eunshin Byon, Associate Professor, Industrial & Operations Engineering, University of Michigan.
Wenmeng Tian, Assistant Professor, Industrial & Systems Engineering, Mississippi State University.
Mingyang Li, Assistant Professor, Industrial & Management Systems Engineering, University of South Florida.