2024 Program

Welcome & Plenary Session
Gerald J. Hahn Achievement Award

Experimental Mathematics—Friend or Foe?
Fred Faltin, Virginia Tech

Entertainment District

Moderator: Jon Stallrich

Arts District

Music District

Theater District

1A:
 AI, BI & SI—Artificial Intelligence, Biological Intelligence and Statistical Intelligence
Dennis Lin, Purdue University

Moderator: Caleb King

1B:
Quality by Design for the Era of Precision Medicine
Julia O’Neill, Direxa Consulting LLC

Moderator: Amanda Yoder

1C: 
Calibration and Uncertainty Quantification for Estimating Topographic Speedup Factors with CFD Models
Adam Pintar, NIST

Moderator: Di Michelson

2A: Robust Experimental Designs

Minimally aliased D- and A-optimal Main-effects Designs
Mohammed Saif Ismail Hameed, KU Leuven

Optimal Designs Under Model Uncertainty
Xietao Zhou, King’s College London

Moderator: Fred Faltin

2B: Model Estimation

Peelle’s Pertinent Puzzle and D’Agostini Bias — Estimating the Mean with Relative Systematic Uncertainty
Scott Vander Wiel, LANL

Estimation and Variable Selection of Conditional Main Effects for Generalized Linear Models
Kexin Xie, Virginia Tech

Moderator: Yeng Saanchi

2C: Technometrics
Invited Session

Drift vs Shift: Decoupling Trends and Changepoint Analysis
Toryn Schafer, Texas A&M

Building Trees for Probabilistic Prediction via Scoring Rules 
Sara Shashaani, NC State

Moderator: Bobby Gramacy

Luncheon

Reflections on a Career at Eastman in Statistics
Kevin White, Eastman

Entertainment District

Moderator: Katie Brickey

3A: STAT Invited Session

XGBoost Modeling for Live Use in Manufacturing
Amanda Yoder, Corning

Can You Dig It? Using Machine Learning to Efficiently Audit Utility Locator Tickets Prior to Excavation to Protect Underground Utilities
Jennifer H. Van Mullekom,    Virginia Tech

Moderator: Karen Hulting

3B: Deep GPs 

Deep Gaussian Processes for Surrogate Modeling with Categorical Data
Andrew Cooper, Virginia Tech

Generating Higher Resolution Sky Maps Using a Deep Gaussian Process Poisson Model

Steven D. Barnett, Virginia Tech

Moderator: Ayumi Mutoh

3C: DOE

Selection of Initial Points Using Latin Hypercube Sampling for Active Learning
Roelof Coetzer,
North-west University

Optimal Experimental Designs for Process Robustness Studies
Peter Goos, KU Leuven

Moderator: Steven Gilmour

W. J. Youden Address

Youden’s Enduring Legacy at NIST
Adam Pintar, NIST

Entertainment District

Moderator: Steve Schuelka

Arts District

4A: CPID Invited Session

On the Testing of Statistical Software
Ryan Lekivetz, JMP

MaLT: Machine-Learning-Guided Test Case Design and Fault Localization of Complex Software Systems
Irene Ji, Duke

Moderator: Jennifer Kensler

4B: New Perspective

On Forming Control Limits for Short Run Standardized Xbar Control Charts with Varying Subgroup Sizes
Annie Dudley and Di Michelson, JMP and Bill Woodall, Virginia Tech

Collaborative Design of Controlled Experiments in the Presence of Subject Covariates
William Fisher, Clemson University

Moderator: Shane Bookholtz

4C: JQT Invited Session

Nonparametric Online Monitoring of Dynamic Networks
Peihua Qiu, University of Florida

A Graphical Comparison of Screening Designs using Support Recovery Probabilities
Kade Young, Eli Lilly & Co.

Moderator: Fadel Megahed

5A: SPES Invited Session

Machine Learning, Cross Validation, and DOE
Maria Weese, Miami University

Autonomy versus Safety: Joint Modeling of Disengagement and Collision Events in Autonomous Vehicle Driving Study
Simin Zheng, Virginia Tech

Moderator: Michael Crotty

5B: Screening Designs

A Replacement for Lenth’s Method for Nonorthogonal Designs
Caleb King, JMP

Optimal Two-level Designs Under Model Uncertainty
Steven Gilmour,
King’s College London

Moderator: Xietao Zhou

5C: QE Invited Session

Monitoring Univariate Processes Using Control Charts: Some Practical Issues and Advice
Bill Woodall, Virginia Tech

How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study
Fadel Megahed, Miami University

Moderator: Peter Parker

Luncheon

Statistics Is a Core Competency for Effective Collaboration and Sound Science
Madhumita (Bonnie) Ghosh-Dastidar, RAND

Entertainment District

Moderator: Jon Stallrich

6A: Q&P Invited Session

Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments
Junoh Heo, Michigan State University

Quantitative Assessment of Machine Learning Reliability and Resilience
Lance Fiondella, Dartmouth

Moderator: Ryan Lekivetz

6B: Computer Experiments

Quick Input-Response Space-Filling (QIRSF) Designs
Xiankui Yang,
University of South Florida

A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
Andrew Brown, Clemson

Moderator: Jennifer H Van Mullekom

6C: DOE II

Optimal Experimental Designs for Precision Medicine with Multi-component Treatments
Yeng Saanchi, JMP

Simulation Experiment Design for Calibration via Active Learning
Ozge Surer, Miami University

Moderator: Stephanie DeHart

Reception, followed by SPES Special Session:

How to Attract and Prepare Students for Careers in Industrial Statistics
Panelists: Maria Weese, Miami University, Yeng Saanchi, JMP, Peter Parker, NASA, and Kade Young, Eli Lilly & Co.

Entertainment District

Moderator: Michael Crotty