Click on a presentation title to see its abstract. At-a-Glance Schedule – Wednesday, October 9 8:00a – 9:00a Welcome & Plenary Session Gerald J. Hahn Achievement Award TBD TBD TBD TBD TBD TBD 9:15a – 10:00a 1A: AI, BI & SI—Artificial Intelligence, Biological Intelligence and Statistical Intelligence Dennis Lin, Purdue University Moderator: TBD 1B: Quality by Design for the Era of Precision Medicine Julia O’Neill, Direxa Consulting LLC Moderator: TBD 1C: Calibration and Uncertainty Quantification for Estimating Topographic Speedup Factors with CFD Models Adam Pintar, NIST Moderator: TBD 10:30a – 12:00p 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: TBD 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: TBD 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: TBD 12:15a-1:45p Luncheon TBD TBD TBD Moderator: TBD 2:00p – 3:30p 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: TBD 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: TBD 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: TBD 4:00p – 5:00p W. J. Youden Address TBD TBD TBD Moderator: TBD At-a-Glance Schedule – Thursday, October 10 TBD TBD TBD 8:00a – 9:30a 4A: CPID Invited Session On the Testing of Statistical Software Ryan Lekivetz, JMP BayesFLo: Bayesian Fault Localization of Complex Software Systems Irene Ji, Duke Moderator: TBD 4B: SPC 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 A Novel Robust MCUSUM for Phase II Profile Monitoring Abdel-Salam G. Abdel-Salam, Qatar University Moderator: TBD 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: TBD 10:00a – 11:30a 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: TBD 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: TBD 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: TBD 11:45a-1:15p Luncheon TBD TBD, TBD Moderator: TBD 1:30p – 3:00p 6A: Q&P Invited Session A Causal Discovery Inspired Approach for Improving Interpretation of Multivariate T2 Control Charts Justin Greene, Rutgers Quantitative Assessment of Machine Learning Reliability and Resilience Lance Fiondella, Dartmouth Moderator: TBD 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: TBD 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: TBD 3:15p – 5:15p Reception, followed by SPES Special Session: TBD Panelists: TBD TBD Moderator: TBD
