Click on a presentation title to see its abstract. You can access the program book here.
At-a-Glance Schedule – Thursday, October 5
8:00a – 9:00a |
Welcome & Plenary Session
Gerald J. Hahn Achievement Award
TBD
Julia O’Neill, Direxa Consulting and Moderna Therapeutics
Oak Forest
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Hannover III
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Governors I
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Governors II
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9:15a – 10:00a |
1A: Novel Topics in Statistics
Statistics in the knowledge Economy
David Banks, Duke University
Moderator: TBD
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1B: Order of Addition Experiments
Order of Addition Experiments: Design and Analysis
Dennis Lin, Purdue University
Moderator: TBD
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1C: Case Studies
Case Study: Teaching Engineers Thermodynamics to Monitor Engine Performances
Eric Bae, Virginia Tech
Moderator: TBD
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10:30a – 12:00p |
2A: Innovations with Gaussian Processes
Sequential Design for Contour Location with Deep Gaussian Process Surrogates
Annie Sauer, North Carolina State University
Active Learning with Design-based Sampling
Lin Wang, Purdue University
Moderator: TBD
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2B: Supersaturated Designs
If you have to use a Supersaturated Design …
John Stufken, George Mason University
Design Selection for Multi- and Mixed-level Supersaturated Designs
Rakhi Singh, Binghamton University
Moderator: TBD
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2C: Technometrics
Invited Session
Deep Gaussian Process Emulation using Stochastic Imputation
Deyu Ming, University College London
A Sharper Computational Tool for L2E Regression
Xiaoqian Liu, University of Texas MD Anderson Cancer Center
Moderator: TBD
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12:15a-1:45p |
Luncheon
Tess-celestial: Immersive Science Approach to Mathematics
Radmila Sazdanovic, North Carolina State University
Oak Forest
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2:00p – 3:30p |
3A: STAT Invited Session
Experiences with Developing and Operating a Design of Experiments MOOC
Douglas Montgomery, Arizona State University
Expanding Access to Graduate Education in Analytics & Data Science: Behind the Scenes at Georgia Tech’s Online Masters Program
Joel Sokol, Georgia Tech
Moderator: TBD
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3B:Orthogonal Designs
Broadening the spectrum of OMARS designs
Peter Goos, University of Leuven
A Family of Orthogonal Main Effects Screening Designs for Mixed Level Factors
Bradley Jones, JMP
Moderator: TBD |
3C: Reliability Modeling
Predictive Resilience Modeling
Priscila Silva, University of Massachusetts Dartmouth
Semi-destructive Gage R&R: De-confounding variance components in systems with predictable degradation
Douglas Gorman, BD
Moderator: TBD
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4:00p – 5:00p |
W. J. Youden Address
TBD
TBD
Oak Forest
Moderator: TBD
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At-a-Glance Schedule – Friday, October 6
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Hannover III
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Governors I |
Governors II |
8:00a – 9:30a |
4A: Q&P Invited Session
HODOR: A Two-stage Hold-out Design for Online Controlled Experiments on Networks
Jonathan Stallrich, North Carolina State University
Monitoring Time-Varying Networks with Principal Component Network Representations
James Wilson, University of San Francisco
Moderator: TBD
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4B: CPID Invited Session
County-Level Surveillance of COVID Counts
Steven E. Rigdon, Saint Louis University
Empirical Calibration for a Nonparametric Lower Tolerance Bound
Caleb King, JMP
Moderator: TBD
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4C: JQT Invited Session
Augmenting Definitive Screening Designs: Going Outside the box
Robert Mee, University of Tennessee Knoxville
Constructing Control Charts for Autocorrelated Data Using an Exhaustive Systematic Samples Pooled Variance Estimator
Scott Grimshaw, Brigham Young University
Moderator: TBD
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10:00a – 11:30a |
5A: SPES Invited Session
PERCEPT: a New Online Change-point Detection Method Using Topological Data Analysis
Simon Mak, Duke University
Statistical Approaches for Testing and Evaluating Foundation Models
Giri Gopalan, Los Alamos National Laboratory
Moderator: TBD
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5B: Design and Analysis of Experiments
Practical Design Strategies for Robust Nonlinear Statistical Modelling
Timothy E. O’Brien, Loyola University of Chicago
Entropy-Driven Design of Sensitivity Experiments
David M. Steinberg, Tel Aviv University
Moderator: TBD
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5C: QE Invited Session
Problem Framing: Essential to Successful Statistical Engineering Applications
Roger Hoerl, Union College
Testing the Prediction Profiler with Disallowed Combinations—A Statistical Engineering Case Study
Yeng Saanchi, North Carolina State University
Moderator: TBD
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11:45a-1:15p |
Luncheon
TBD
Blan Godfrey, North Carolina State University
Oak Forest
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1:30p – 3:00p |
6A: Experimental Design in Practice
Multi-criteria Evaluation and Selection of Experimental Designs from a Catalog
Mohammed Saif Ismail Hameed, University of Leuven
Functional Response from a Mixture Experiment: Design Choice and Analysis
Mona Khoddam, Ventana Medical Systems
Moderator: TBD
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6B: Machine Learning
Multi-layer Sliced Designs with Application in AI Assurance
Qing Guo, Virginia Tech
Planning Reliability Assurance Tests for Autonomous Vehicles
Simin Zheng, Virginia Tech
Moderator: TBD
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6C: Analytics
Assessing Variable Activity for Bayesian Regression Trees
Akira Horiguchi, Duke University
The Effectiveness and Flexibility of a Predictive Distribution Approach to Process Optimization with Multiple Responses
John Peterson, PDQ Research and Consulting
Moderator: TBD
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3:15p – 5:15p |
Reception, followed by SPES Special Session:
TBD
Panelists: TBD
Oak Forest
Moderator: TBD
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View past programs here.