2026 Program

Abstracts coming soon!

At-a-Glance Schedule – Tuesday, October 6

8:00a – 12:00p	Half-Day Short Course: From Prompt to Deployment: Using Coding Assistants to Generate Reproducible Quarto Reports for Quality Data Analysis Scott Mutchler, Virginia Tech
12:00p – 1:00p	Lunch
1:00p – 5:00p	Half-Day Short Course: OMARS Designs: Modern Experimental Designs for Simultaneous Screening and Response Surface Optimization Peter Goos, University of Leuven
5:30p – 7:00p	Fall Technical Conference Opening Reception

At-a-Glance Schedule – Wednesday, October 7

8:00a–8:30a

Breakfast:

8:30a–9:15a

Welcome & Plenary Session
Gerald J. Hahn Achievement Award

9:30a–10:15a

1A: CPID Invited

Design and analysis of experiments assessing handheld RFID readers in complex environments
Justin Strait, LANL

Moderator:

1B:
The perfect is the enemy of the good
Bradley Jones

Moderator:

1C: SPES Invited
TBD
TBD

Moderator:

10:30a–12:00p

2A: Design of Experiments

Split-Plot Optimal Design for Constrained Two-Step Reaction
Richard Montes, Alnylam Pharmaceuticals

Powerful Experimental Designs for Multiple Hypothesis Tests
Jonathan Stallrich, North Carolina State University

Sample Size and Design Optimization with Transition Costs
Peter Goos, KU Leuven

Moderator:

2B: ISEA

Data Quality: Missed Opportunity or Golden Opportunity?
Roger Hoerl, Union College

Engineering: a roadmap for solving modern scientific & engineering problems
Simon Mak, Duke

Moderator:

2C: Machine Learning

Are “Fair Aware” Machine Learning Algorithms Really Fair?
Frederick W. Faltin, Virginia Tech

Bayesian Optimization for Hyperparameter Tuning in AI Models
Linfeng Lyu, Clemson University

Fitting an Escalier to a Curve
Sebastien Bossu, University of North Carolina at Charlotte

Moderator:

12:00p–1:15p

Luncheon

1:30p–3:00p

3A: Bayesian Methods

Mechanism-Level Bayesian Inference for Latent Gaussian Models
Michael R. Schwob, Virginia Tech

Credible Distributions of Overall Ranking
Abhyuday Mandal, University of Georgia

From Reviews to Insights: A Rank-Based Bayesian Model for Multimodal Aspect Sentiment Aggregation
Kaiwen Wang, Davidson College

Moderator:

3B: Panel – Journal Editors

Panelists
Rong Pan, Arizona State University

Kamran Paynabar, Georgia Institute of Technology

Bill Woodall, Virginia Tech

3C: Applied Data Science & AI

CROSSVALI: A Method for Prompting AI for Data Analysis
Jennifer Van Mullekom and Anne Driscoll, Virginia Tech

An Explainable Artificial Intelligence Framework for Child Trafficking Risk Assessment
Abiodun Olalere, North Carolina Agricultural and Technical State University

Space-Filling One-Factor-At-A-Time Designs
Wei-Yang Yu, Georgia Tech

Moderator:

3:00p–3:30p

Break:

3:30p–4:30p

W. J. Youden Address

4:30p–5:30p

Reception and Poster Session (Research/Methods)

Self-Healing Manufacturing Processes Using Predictive Quality Analytics
Garvit Joshi, Quality Specialist

Monitoring Supervised Learning Models with Statistical Control Charts
Leah Jones, Virginia Tech

Modeling Environmental Predictors of Grizzly Bear Scavenging Across Management Jurisdictions
Becky Catlett, Virginia Tech

A Two-Stage Structural Equation Modeling Framework to Address Spatial Confounding in Binary Response Models
Md. Hasibul Islam Jitu, North Carolina State University

When Classical Estimation Breaks Down: Bayesian Estimation as an Alternative to OLS Under the n≤k Condition
Naa Adoley Acquaye, University of Denver

At-a-Glance Schedule – Thursday, October 8

8:00a–8:30a	Breakfast:
8:30a–9:15a	4A: STAT Invited Session Probability of Detection: Evaluating the Reliability of Nondestructive Inspection Systems Christine Knott, Air Force Research Laboratory Moderator:Karen Hulting	4B: TBD Weese, Miami University Moderator:	4C: Q&P Invited Conjecturing-Based Discovery of Patterns in Data David Edwards, The Citadel Moderator:
9:30a– 10:30a	5A: Computer Experiments Revisiting the 10p Rule for Computer Experiments Miles Woollacott, North Carolina State University Profile Bayesian Optimization in Expensive Computer Experiments Courtney Kyger, Virginia Tech Moderator:	5B: Optimization and DOE Optimal Sparse Projection Design for Systems with Treatment Cardinality Constraint Kexin Xie, Virginia Tech An Economical Approach to Design with Precision Criteria Luke Hagar, The University of Queensland Moderator:	5C: Quality Metrics Quantile-Based PCIs for Evaluating Two Processes M Z Anis, Indian Statistical Institute Predictive Ppk Calculations for Biologics and Vaccines using a Bayesian approach Jianfang Hu, Pfizer Moderator:
10:30a– 11:00a	Break
11:00a–12:30a	6A: Industrial Statistics XCT Systems Transfer Function Methodology Development Pathfinder: Linking System Performance Using Experimental Design Mindy Hotchkiss, Enquery Research LLC Distributed Accelerated Failure-Time Models for Big Data Jared Clark, Virginia Tech Moderator:	6B: Panel – Beyond the Tenure Track: Careers in Industry and Applied Research Panelists Ashley Childress, Zoetis Todd Coffey, Pfizer Abby Nachtsheim, LANL	6C: Bayesian and Reliability Flexible Bayesian Variable Selection under Shape Constraints Ayumi Mutoh, North Carolina State University AI-SALT: A Screening Accelerated Life Testing Framework for AI System Reliability Simin Zheng, Virginia Tech Validating Applications Based on Machine Learning Libraries Using Blocked Covering Arrays: A Case Study Yeng Saanchi, JMP Statistical Discovery LLC & Sohyeon Kim, North Carolina State University Moderator:
12:30p–1:45p	Luncheon
2:00p–3:30p	7A: Quality and Reliability Methods AI-Augmented Use Risk Management for Medical Devices Under ISO 14971 Venudhar Hajari, Smith & Nephew plc Dark Uncertainty Imperils Hybrid Metrology for Semiconductors Adam L. Pintar, National Institute of Standards and Technology Monitoring Parametric, Nonparametric, and Semiparametric Linear Regression Models using a Multivariate CUSUM Bayesian Control Chart Abdel-Salam G. Abdel-Salam, Qatar University Moderator:	7B: Panel – From Bench to Batch: Nonclinical Statistics Case Studies from the Pharmaceutical Industry Panelists Briana Russo, Merck Greg Steeno, Pfizer Kade Young, Eli Lilly Moderator:Katie Brickey, Pfizer	7C: An Interpretable Generative Framework for Statistical Process Control in High-Dimensional Settings Waldyn Martinez, Miami University Beyond Prediction: Monitoring Dynamic Risk Using Machine Learning and SPC Mohammad Abdullah, The Ohio State University New Perspectives of Respondent-Driven Sampling with Application to Sex-Trafficked Population in Senegal Hui Yi, North Carolina Agricultural and Technical State University Moderator:
3:30p – 4:30p	Reception and Poster Session (Case Study/Applications)