Click on a presentation title to see its abstract. Program book At-a-Glance Schedule – Wednesday, October 9 8:00a – 9:00a Welcome & Plenary SessionGerald J. Hahn Achievement Award Experimental Mathematics—Friend or Foe?Fred Faltin, Virginia Tech Entertainment District Moderator: Jon Stallrich Arts District Music District Theater District 9:15a – 10:00a 1A: AI, BI & SI—Artificial Intelligence, Biological Intelligence and Statistical IntelligenceDennis Lin, Purdue University Moderator: Caleb King 1B:Quality by Design for the Era of Precision MedicineJulia O’Neill, Direxa Consulting LLC Moderator: Amanda Yoder 1C: Calibration and Uncertainty Quantification for Estimating Topographic Speedup Factors with CFD ModelsAdam Pintar, NIST Moderator: Di Michelson 10:30a – 12:00p 2A: Robust Experimental Designs Minimally aliased D- and A-optimal Main-effects DesignsMohammed Saif Ismail Hameed, KU Leuven Optimal Designs Under Model UncertaintyXietao 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 UncertaintyScott Vander Wiel, LANL Estimation and Variable Selection of Conditional Main Effects for Generalized Linear ModelsKexin Xie, Virginia Tech Moderator: Yeng Saanchi 2C: TechnometricsInvited Session Drift vs Shift: Decoupling Trends and Changepoint AnalysisToryn Schafer, Texas A&M Building Trees for Probabilistic Prediction via Scoring Rules Sara Shashaani, NC State Moderator: Bobby Gramacy 12:15a-1:45p Luncheon Reflections on a Career at Eastman in StatisticsKevin White, Eastman Entertainment District Moderator: Katie Brickey 2:00p – 3:30p 3A: STAT Invited Session XGBoost Modeling for Live Use in ManufacturingAmanda Yoder, Corning Can You Dig It? Using Machine Learning to Efficiently Audit Utility Locator Tickets Prior to Excavation to Protect Underground UtilitiesJennifer H. Van Mullekom, Virginia Tech Moderator: Karen Hulting 3B: Deep GPs Deep Gaussian Processes for Surrogate Modeling with Categorical DataAndrew 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 LearningRoelof Coetzer,North-west University Optimal Experimental Designs for Process Robustness StudiesPeter Goos, KU Leuven Moderator: Steven Gilmour 4:00p – 5:00p W. J. Youden Address Youden’s Enduring Legacy at NISTAdam Pintar, NIST Entertainment District Moderator: Steve Schuelka At-a-Glance Schedule – Thursday, October 10 Arts District Music District Theater District 8:00a – 9:30a 4A: CPID Invited Session On the Testing of Statistical SoftwareRyan Lekivetz, JMP MaLT: Machine-Learning-Guided Test Case Design and Fault Localization of Complex Software SystemsIrene Ji, Duke Moderator: Jennifer Kensler 4B: New Perspective On Forming Control Limits for Short Run Standardized Xbar Control Charts with Varying Subgroup SizesAnnie Dudley and Di Michelson, JMP and Bill Woodall, Virginia Tech Collaborative Design of Controlled Experiments in the Presence of Subject CovariatesWilliam Fisher, Clemson University Moderator: Shane Bookholtz 4C: JQT Invited Session Nonparametric Online Monitoring of Dynamic NetworksPeihua Qiu, University of Florida A Graphical Comparison of Screening Designs using Support Recovery ProbabilitiesKade Young, Eli Lilly & Co. Moderator: Fadel Megahed 10:00a – 11:30a 5A: SPES Invited Session Machine Learning, Cross Validation, and DOEMaria Weese, Miami University Autonomy versus Safety: Joint Modeling of Disengagement and Collision Events in Autonomous Vehicle Driving StudySimin Zheng, Virginia Tech Moderator: Michael Crotty 5B: Screening Designs A Replacement for Lenth’s Method for Nonorthogonal DesignsCaleb King, JMP Optimal Two-level Designs Under Model UncertaintySteven Gilmour,King’s College London Moderator: Xietao Zhou 5C: QE Invited Session Monitoring Univariate Processes Using Control Charts: Some Practical Issues and AdviceBill Woodall, Virginia Tech How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory StudyFadel Megahed, Miami University Moderator: Peter Parker 11:45a-1:15p Luncheon Statistics Is a Core Competency for Effective Collaboration and Sound ScienceMadhumita (Bonnie) Ghosh-Dastidar, RAND Entertainment District Moderator: Jon Stallrich 1:30p – 3:00p 6A: Q&P Invited Session Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer ExperimentsJunoh Heo, Michigan State University Quantitative Assessment of Machine Learning Reliability and ResilienceLance Fiondella, Dartmouth Moderator: Ryan Lekivetz 6B: Computer Experiments Quick Input-Response Space-Filling (QIRSF) DesignsXiankui Yang,University of South Florida A Kernel-Based Approach for Modelling Gaussian Processes with Functional InformationAndrew Brown, Clemson Moderator: Jennifer H Van Mullekom 6C: DOE II Optimal Experimental Designs for Precision Medicine with Multi-component TreatmentsYeng Saanchi, JMP Simulation Experiment Design for Calibration via Active LearningOzge Surer, Miami University Moderator: Stephanie DeHart 3:15p – 5:15p Reception, followed by SPES Special Session: How to Attract and Prepare Students for Careers in Industrial StatisticsPanelists: Maria Weese, Miami University, Yeng Saanchi, JMP, Peter Parker, NASA, and Kade Young, Eli Lilly & Co. Entertainment District Moderator: Michael Crotty
