Junior researchers honored at 12th Design and Analysis of Experiments Conference

The 12th event in the Design and Analysis of Experiments (DAE) conference series, a gathering of researchers from across the globe, was hosted by the Virginia Tech Department of Statistics in mid-May.

Poster presentations by junior researchers were a significant feature of the conference, which focused on emerging areas of research in experimental design, as well as novel innovations in traditional areas.

While 34 posters received the honor of acceptance into the conference, five of them stood above and beyond, earning best poster awards that were voted on by a panel of experts.

• Best Poster, Algorithmic Design (sponsored by JMP)
  • Chao-Hui Huang, National Tsing Hua University for “The Uniform Placement of Alter-Nodes on a Spherical Surface [U-PASS] for Ego-Centric Networks and its Link to Minimum Energy Designs”
• Best Poster, Applied Data Science (sponsored by Virginia Tech Academy of Data Science)
  • David Collins, Binghamton University for “Subdata Selection for High-Dimensional Big Data with Categorical Responses”
• Best Poster, National Security Impact (sponsored by Virginia Tech National Security Institute)
  • Samuel Myren, Los Alamos National Laboratory/Virginia Tech for “Training Design for Statistical Evaluation of Seismic Foundation Models”
• Best Poster, Application-Focused Design
  • Simin Zheng, Virginia Tech for “Planning Reliability Assurance Tests for Autonomous Vehicles”
• Best Poster, Design Theory
  • Difan Song, Georgia Tech for “Complete Active Learning for Emulation and Optimization”

DAE 2024 was sponsored by JMP, the National Science Foundation, the National Security Agency, the Virginia Tech Academy of Data Science, and the Virginia Tech National Security Institute. Conference details, including abstracts for all of the talks and posters, can be found at the DAE 2024 website.