The finalists of the 2018 QSR Best Paper Competition are (in alphabetical order):
Shenghan Guo and Weihang (Grace) Guo, "Change-Point Detection by Multivariate Adaptive Regression Splines".
Linglin He and Ying Hung, "Efficient Gaussian Process Prediction using Design-Based Subsampling". (WINNER)
Raed Al Kontar, Garvesh Raskutti, and Shiyu Zhou, "Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach".
Juan Du, Xiaowei Yue, Jeffrey H. Hunt, and Jianjun Shi, "Optimal Placement of Actuators for Composite Fuselage Shape Control".
The finalists of the 2018 QSR Best Student Paper Competition are (in alphabetical order):
Anh Tuan Bui, Northwestern University, “Monitoring for Changes in the Nature of Stochastic Textured Surfaces”.
Raquel de Souza Borges Ferreira, Purdue University, “Predictive Comparisons for Screening and Interpreting Inputs in Machine Learning”. (WINNER)
Shuang Li, Georgia Institute of Technology, “Scan B-Statistic for Kernel Change-Point Detection”.
Ruizhi Zhang, Georgia Institute of Technology, “Scalable Robust Monitoring of Large-Scale Data Streams”.
The winner of the 2018 QSR Best Student Poster Competition is:
Chenang Liu, Virginia Tech.
Ashif Sikandar Iquebal, Texas A&M University.