Program - INFORMS Conference on Quality, Statistics, and Reliability

Keynote Speakers

**Vijay Nair** | Wells Fargo
Managing Director and Head of Advanced Technologies for Modeling

**Cynthia Rudin** | Duke University
Earl D. McLean, Jr. Professor

**Jianjun Shi** | Georgia Institute of Technology
Carolyn J. Stewart Chair and Professor

Distinguished Sessions

**Bianca Maria Colosimo**
Politecnico di Milano
Professor

**Mikael Norrlof** | ABB
Global Robotics Motion Control Technology Owner

**Peihua Qiu** | University of Florida
Founding Chair and Dean’s Professor

Technical Sessions

Leader Forum – Value and Need for Industry and Academia Collaboration, aims at stimulating transdisciplinary discussions between high-profile academic and industry leaders

Preparing Future Practitioners, a student-oriented panel discussion on essential skills needed for future practitioners in Quality, Statistics, and Reliability

Schedule

Day 1 – Tuesday, June 6

Day 2 – Wednesday, June 7

Day 3 – Thursday, June 8

07:30 am – 05:00 pm	Registration Open
	Opening Remarks Julie Swann, North Carolina State University, NC
08:00 am – 08:30 am	Welcome Address Louis Martin-Vega, Dean of Engineering, North Carolina State University, NC Jianjun Shi, ICQSR 2023 Conference Co-Chair, The Carolyn J. Stewart Chair and Professor, Georgia Institute of Technology, GA
Session TP01	Plenary Session Chair: Ran Jin, Virginia Tech, VA	Auditorium
08:30 a – 09:30 a	Co-Evolution of Data Science and Data Modality Propels the Modeling and Analysis of Multistage Manufacturing Processes Jianjun Shi, The Carolyn J. Stewart Chair and Professor, Georgia Institute of Technology, GA
09:30 am – 09:50 am	Coffee Break
Session TA01	ICQSR Best Paper Competition Chair: Kaibo Liu, University of Wisconsin at Madison, WI	Duke Energy Hall A
09:50 a – 11:20 a	Federated Generalized Scalar-on-Tensor Regression Elif Konyar, University of Florida, FL Multi-output Extreme Spatial Model for Complex Production Systems Cheolhei Lee, Virginia Polytechnic Institute and State University, VA Reliability Modeling for Perception Systems in Autonomous Vehicles: a Recursive Event-Triggering Point Process Fenglian Pan, University of Arizona, AZ Robust Condition-Based Production and Maintenance Planning for Degradation Management Qiuzhuang Sun, National University of Singapore, Singapore
Session TA02	Next Generation SPC and Process Modeling Chair: Michael Biehler, Georgia Institute of Technology, GA	Duke Energy Hall B
09:50 am – 11:20 am	Physics-informed Weakly-supervised Learning For Quality Prediction Of Manufacturing Processes Dhari Alenezi, Georgia Institute of Technology, GA DETONATE: Nonlinear Dynamic Evolution Modeling of Time-dependent 3-dimensional Point Cloud Profiles Michael Biehler, Georgia Institute of Technology, GA Online Structural Change-point Detection Of High-dimensional Streaming Data Via Sparse Spectral Graphical Models Ana Estrada Gomez, Purdue University, IN
Session TA03	Modeling and Analytics in Reliability Chair: Yisha Xiang, University of Houston, TX	Duke Energy Hall C
09:50 am – 11:20 am	Optimal Inspection and Maintenance of Critical Infrastructures subject to Recurrent Dependent Hazards Haitao Liao, University of Arkansas, AR Distributional Robust Partially Observable Markov Decision Processes Optimization with Distance-based Uncertainties Tong Li, University of Florida, FL Iterative Design of Durable Systems Through Degradation-informed Bayesian Optimization (DIBO) Minhee Kim, University of Houston, TX
Session TA04	Validating Statistical Software Chair: Ryan Lekivetz, JMP Statistical Discovery LLC, NC	Duke Energy Hall D
09:50 am – 11:20 am	Validating Statistical Software: Issues and Methods Joseph Morgan, JMP Statistical Discovery LLC, NC Bayesian Fault Localization for Software Testing Yi (Irene) Ji, Duke University, NC Assessing The Usability Of Statistical Software Using Designed Experiments Jacob Rhyne, JMP Statistical Discovery LLC ,NC
11:20 am – 11:30 am	Break
Session TK01	Keynote Session Chair: Ryan Lekivetz, JMP Statistical Discovery LLC, NC	Duke Energy Hall A
11:30 a m– 12:30 pm	Delicate Brute Force In Statistical Computing John Sall, Founder and Chair, JMP Statistical Discovery LLC, NC
Session TK02	Keynote Session Chair: Adel Alaeddini, University of Texas at San Antonio, TX	Duke Energy Hall D
11:30 a m– 12:30 pm	Recent Statistical Process Control Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance Peihua Qiu, Founding Chair and Dean’s Professor, University of Florida, FL
12:30 pm – 01:45 pm	Lunch
Session TB01	ICQSR Data Challenge Competition Chair: Raed Al Kontar, University of Michigan, MI	Duke Energy Hall A
02:00 pm – 03:30 pm	Finalist Presentation TBD1 Finalist TBD 1, Finalist Institution 1 Finalist Presentation TBD2 Finalist TBD 2, Finalist Institution 2 Finalist Presentation TBD3 Finalist TBD 3, Finalist Institution 3
Session TB02	Statistical Modeling for Quality & Reliability in Future Manufacturing Chair: Satish Bukkapatnam, Texas A&M University, TX and Ashif Iquebal, Arizona State University, AZ	Duke Energy Hall B
02:00 pm – 03:30 pm	Tensor Data Analytics in Laser Powder Bed Fusion Bo Shen, New Jersey Institute of Technology, NJ Virtual Sensing Network For Statistical Process Monitoring Hui Yang, Pennsylvania State University, PA Stochastic Inverse Problems for Advanced Manufacturing Applications Ashif Iquebal, Arizona State University, AZ
Session TB03	Quality Engineering Invited Session Chair: David Edwards, Virginia Commonwealth University, VA	Duke Energy Hall C
02:00 pm – 03:30 pm	Paper Title Luke Hagar, University of Waterloo, Waterloo, ON, Canada Image Based Statistical Process Monitoring Using Partial First Order Stochastic Dominance Panagiotis Tsiamyrtzis, Politecnico Di Milano, Milan, Italy Online Monitoring of Nonlinear Profiles Using A Gaussian Process Model With Heteroscedasticity Valeria Quevedo, Virginia Tech, VA
Session TB04	Advances in Data Sciences Chair: Qiong Zhang, Clemson University, SC	Duke Energy Hall D
02:00 pm – 03:30 pm	Kernel Discrepancy-based Rerandomization For Controlled Experiments Lulu Kang, llinois Institute of Technology, IL Bayesian Model Calibration and Sensitivity Analysis For Oscillating Biological Experiments Youngdeok Hwang, Baruch College, NY Data-driven MPC Technology in Cement Industry Xu Xu, University of Science and Technology of China, China
Session TB05	ICQSR Best Poster Competition Chair: Qianmei Feng, University of Houston, TX and Weihong (Grace) Guo, Rutgers, NY	Duke Energy Hall
02:00 pm – 03:30 pm	Provable Convergence of Tensor Decomposition-Based Neural Network Training Bo Shen, New Jersey Institute of Technology, NJ SDAE: Selective Deep Autoencoder for Feature Selection with an Application on Sensor Reduction Wael Hassanieh, University of Michigan, MI Mechanical Damage Detection via Robust Time Series Comparison Lei Jin, Texas A&M University, TX
03:30 pm – 04:00 pm	Coffee Break
Session TC01	Leader Forum – Value and Need for Industry and Academia Collaboration Chair: Xinwei Deng, Virginia Tech, VA and Haitao Liao, University of Arkansas, AR	Duke Energy Hall A
04:00 pm – 05:30 pm	Vijay Nair, Managing Director and Head of Advanced Technologies for Modeling, Wells Fargo Peihua Qiu, Founding Chair and Dean’s Professor, University of Florida John Sall, Founder and Chair, JMP Statistical Discovery LLC Karl Schubert, Associate Director of Data Science Program, University of Arkansas Julie L. Swann, Department Head, North Carolina State University Fugee Tsung, Active Dean, Hong Kong University of Science and Technology
Session TC02	Surrogate Modeling for Computer Experiments Chair: Simon Mak, Duke University, NC	Duke Energy Hall B
04:00 pm – 05:30 pm	Lioness Algorithm for Finding Optimal Design of Experiments Abhyuday Mandal, University of Georgia, GA Additive Multi-index Gaussian Process Modeling, With Application To Multi-physics Surrogate Modeling Of Heavy-ion Collisions Simon Mak, Duke University, NC Model Mixing Using Bayesian Additive Regression Trees John Yannotty, Ohio State University, OH
Session TC03	QSR Methods for Energy Applications Chair: Eunshin Byon, University of Michigan, MI and Ahmed Aziz Ezzat, Rutgers University, NJ	Duke Energy Hall C
04:00 pm – 05:30 pm	Stratified Sampling for Reliability Analysis Using Stochastic Simulation with Multi-dimensional Input Eunshin Byon, University of Michigan, MI Early Failure Detection in Multivariate Time Series Data Effi Latiffianti, Texas A&M University, TX Cyber-Physical Vulnerability Analysis in Industrial Cyber-Physical Systems Navid Aftabi, Dan Li and Thomas Sharkey, Clemson University, SC
Session TC04	Panel Discussion: Becoming a Successful Future AI & Analytics Practitioner Chair: Hao Yan, Arizona State University, AZ and Xiaolei Fang, North Carolina State University, NC	Duke Energy Hall D
04:00 pm – 05:30 pm	Zohreh Asgharzadeh, SAS Institute, NC Steven Honkomp, Procter and Gamble, OH Caleb King, JMP Statistical Discovery LLC, NC Ryan Lekivets, JMP Statistical Discovery LLC, NC Biao Zhang, ABB, NC
05:30 pm – 06:30 pm	Break & Transportation to SAS Reception
Session TK02	ICQSR Ceremony & Reception Chair: Xiaolei Fang, North Carolina State University, Raleigh NC and Jian Liu, University of Arizona, Tucson AZ	SAS Headquarters
06:30 pm - 7:00 pm	Hors d'oeuvres available and guests arrive at Building C on SAS Campus
07:00 pm – 08:00 pm	Presentation starts in EBC 150 Welcome - Glynn Newby, SAS, NC Greetings from the INFORMS President - Julie Swann, North Carolina State University, NC Industry Keynote - Lonnie Miller,, SAS, NC Commercial Keynote - Govi Kannan, Mack Trucks, NC Q&A with Presenters Presentation of ICQSR Awards - ICQSR Program Committee
08:00 pm - 09:00 pm	Networking Reception
09:00 pm	Buses depart for the StateView Hotel

07:30 am – 05:00 pm	Registration Open
Session WA01	Modern Computer Model Calibration and Optimization Chair: Eunshin Byon, University of Michigan, MI and Ahmed Aziz Ezzat, Rutgers University, NJ	Duke Energy Hall A
08:00 am – 09:30 am	Multi-block Parameter Calibration in Computer Models Cheoljoon Jeong, University of Michigan, MI Robust Bayesian Optimization for Black-Box Functions with Random Inputs John Miller, Duke University, NC Robust Calibration of Wake Effect In Wind Farms With Stratified Adaptive Sampling Sara Shashaani, North Carolina State University, NC
Session WA02	Analysis of High-Dimensional Data with Advanced Machine Learning Chair: Hao Yan, Arizona State University, AZ	Duke Energy Hall B
08:00 am – 09:30 am	PAEDID: Patch Autoencoder Based Deep Image Decomposition for Pixel-level Defective Region Segmentation Shancong Mou, Georgia Institute of Technology, GA Knowledge Constrained Bayesian Neural Network Hao Yan, Arizona State University, AZ ERPCA : Robust Principal Component Analysis For Exponential Family Distributions Simon Mak, Duke University, NC
Session WA03	Advances in Data Analytics for Quality Control of Manufacturing Systems Chair: Zhengyu Kong and Xiaowei Yue, Virginia Tech, VA	Duke Energy Hall C
08:00 am – 09:30 am	Mvgcn: Multi-view Graph Convolutional Neural Network For Surface Defect Identification Using Three-dimensional Point Cloud Yinan Wang, Virginia Tech, VA Failure-averse Active Learning For Physics-constrained Systems Xiaowei Yue, Virginia Tech, VA Fast Thermal Modeling of Metal Additive Manufacturing With Physics-informed Neural Networks Raghav Gnanasambandam, Virginia Tech, VA
Session WA04	Advancements of Reliability Analysis in Non-traditional Applications Chair: Young Myoung Ko, Pohang University of Science and Technology, South Korea	Duke Energy Hall D
08:00 am – 09:30 am	FasterRisk: Fast and Accurate Interpretable Risk Scores Jiachang Liu, Duke University, NC Reliability Improvement of Circular K-out-of-n: G Balanced Systems Through Center Of Gravity Consideration Young Myoung Ko, Pohang University of Science and Technology, South Korea Construction Of Adaptively Enlarged Latin Hypercube Designs With Flexible Sample Sizes Xu He, Academy of Mathematics and Systems Science, China
Session WA05	Panel Discussion: AI in Advanced Manufacturing Chair: Marco Grasso, Politecnico di Milano, Italy and Ran Jin, Virginia Tech, VA	Auditorium
08:00 am – 09:30 am	Fabio Caltanissetta, Caracol AM, Italy Sri Challapalli, Lima Corporate, Italy Xiaoyu Chen, University of Louisville, KY Rohan Shirwaiker, North Carolina State University, NC
09:30 am – 09:50 am	Coffee Break
Session WP01	Plenary Session Chair: Xiaolei Fang, North Carolina State University, NC	Auditorium
09:50 am – 10:50 am	Interpretable Neural Networks for Computer Vision: Clinical Decisions that are Computer-Aided, not Automated Cynthia Rudin, Earl D. McLean, Jr. Professor, Duke University, NC
09:50 am – 10:50 am	Break
Session WK01	Keynote Session Chair: Marco Grasso, Politecnico di Milano, Italy and Ran Jin, Virginia Tech, VA	Auditorium
11:00 am – 12:00 pm	In-situ quality data modeling and monitoring in additive manufacturing and 3D bioprinting: opportunities and challenges Bianca Maria Colosimo, Professor, Politecnico di Milano, Italy
Session WK02	Keynote Session Chair: Eunshin Byon, University of Michigan, MI	Duke Energy Hall D
11:00 am – 12:00 pm	Prognostics and Health Management of Wind Turbines - Current R&D Activities and Future Opportunities Shawn Sheng, Researcher V-Mechanical Engineering, National Renewable Energy Laboratory
12:00 pm – 01:15 pm	Lunch
Session WP02	Plenary Session Chair: Jian Liu, University of Arizona, AZ	Auditorium
01:30 pm – 02:30 pm	Machine Learning in Practice: Interpretability, Diagnostics, and Applications in Banking Vijay Nair, Managing Director and Head of Advanced Technologies for Modeling, Wells Fargo
02:30 pm – 02:50 pm	Coffee Break
Session WK03	KeynoteSession Chair: Xiaolei Fang, North Carolina State University, NC	Duke Energy Hall A
02:50 pm – 03:50 pm	The Future of Artificial Intelligence And Analytics In Health Systems Engineering Maria Mayorga, University Faculty Scholar and Professor of Personalized Medicine, North Carolina State University, NC
Session WK03	KeynoteSession Chair: Xiaolei Fang, North Carolina State University, NC	Duke Energy Hall A
02:50 pm – 03:50 pm	Technology Challenges and Opportunities in Ergonomics Julia Abate, Executive Director of Ergonomics Center, North Carolina State University, NC
03:50 pm – 04:00 pm	Break
Session WB01	Machine Learning in Process Control Chair: Anh Bui, Northwestern University, IL	Duke Energy Hall A
04:00 pm – 05:30 pm	Analysis For Slug-flow Process In Continuous Chemical Manufacturing Yanjun Qian, Virginia Commonwealth University, VA Quality Prediction In Serial-parallel Multistage Manufacturing Process with Production Log Data Using Deep Learning Seung-Hyun Choi, Pohang University of Science and Technology, South Korea Scalable Data Twinning Sujay Mudalgi, Virginia Commonwealth University, VA
Session WB02	Research Overview: Advanced Data Analytics in Manufacturing and Healthcare Chair: Raed Al Kontar, University of Michigan, MI	Duke Energy Hall B
04:00 pm – 05:30 pm	Collaborative Optimal Design: Showcasing the Power Of Collaboration Raed Al Kontar, University of Michigan, MI The Data Cleaning Pipeline Rebecca Steorts, Duke University, NC
Session WB03	Advancements in Reliability Analysis of Artificial Intelligence Systems Chair: Qingpei Hu, AMSS, China and Qingyu Yang, Wayne State University, MI	Duke Energy Hall C
04:00 pm – 05:30 pm	Reliability Modeling for Perception Systems In Autonomous Vehicles: A Recursive Event-triggering Point Process Fenglian Pan, University of Arizona, AZ Software Reliability Inference Constrained By The Shape Of The Mean Value Function Qingpei Hu, AMSS, China Planning Reliability Assurance Tests for Autonomous Vehicles Simin Zheng, Virginia Tech, VA
Session WB04	Data Analytics and Quality Engineering with Applications in Healthcare and Public Health Chair: Bing Yao, University of Tennessee at Knoxville, TN and Bing Si, Binghamton University, NY	Duke Energy Hall D
04:00 pm – 05:30 pm	Hierarchical Deep Learning with Generative Adversarial Network For Automatic Cardiac Diagnosis From ECG Signals Bing Yao, University of Tennessee at Knoxville, TN Multi-modal Mixed-type Structural Equation Modeling With Structured Sparsity For Subgroup Discovery From Heterogeneous Health Data Bing Si, Binghamton University, NY Online Modeling and Monitoring for Dependent Dynamic Processes Under Resource Constraints Ying Lin, University of Houston, TX
Session WB05	Artificial Intelligence and Data Analytics for Future Industry: Practitioner Perspectives Chair: Sarah Warren and Xiaolei Fang, North Carolina State University, NC	Auditorium
04:00 pm – 05:30 pm	Jim Box, SAS, NC Steven Honkomp, Procter and Gamble, OH Ana Maria Escheverri, Amazon AWS, NC
Session WT01	Department Tour Chair: Xiaolei Fang, North Carolina State University, NC	NC State ISE Department
05:30 pm - 06:30 pm	Guided tour of the Edward P. Fitts Department of Industrial and Systems Engineering at the North Carolina State University
	ICQSR 2023 Networking Reception	The StateView Hotel
7:00 pm - 09:00 pm	Hors d'oeuvres available at The StateView Hotel

07:30 am – 10:00 am	Registration Open
Session ThA01	Recent Advances in Tensor/Matrix Data Analytics Chair: Ning Wang, Beijing Normal University, China and Bo Shen, New Jersey Institute of Technology, NJ	Duke Energy Hall A
08:00 am – 09:30 am	High-Performance Sparse Tensor Library Jiajia Li, North Carolina State University, NC High-dimensional Tensor Mixture Linear Regression Ning Wang, Beijing Normal University, China Robust Tensor Factorization for Detecting Moving Objects In Videos Shenghao Xia, University of Arizona, AZ
Session THA02	Artificial Intelligence in Reliability Chair: Cesar Ruiz, University of Oklahoma, OK	Duke Energy Hall B
08:00 am – 09:30 am	Analytics Of Dense and Sparce Data Streams For Reliability Prediction Of Heterogeneous Populations Cesar Ruiz, University of Oklahoma, OK Multi-task Physics-informed Machine Learning With Partially Observed Information For Reliability-based Design Yanwen Xu, University of Illinois at Urbana-Champaign, IL Adaptive Reduced-order Modeling Using Statistical Learning Methods Xiao Liu, University of Arkansas. AR
SessioThA03	Federated Machine Learning in Manufacturing Chair: Jia Liu, Auburn University, AL and Chenhui Shao, University of Illinois, IL	Duke Energy Hall C
08:00 am – 09:30 am	Federated Hierarchical Graph Convolutional Network For Quality Prediction In Additive Manufacturing Jia Liu, Auburn University, AL A Greedy Agglomerative Framework For Clustered Federated Learning Chenhui Shao, University of Illinois, IL Untangling Subspaces: What Is Shared and What Is Unique? Naichen Shi, University of Michigan, MI
09:30 am – 09:50 am	Coffee Break
Session ThK01	Keynote Session Chair: Jian Liu, University of Arizona, AZ	Duke Energy Hall A
09:50 am – 10:50 am	AI in industrial automation - risk or opportunity? Mikael Norrlof, Global Robotics Motion Control Technology Owner, ABB
10:50 am – 11:00 am	Break
Session ThB01	Machine Learning for Tensor Data Chair: Hao Yan, Arizona State University, AZ	Duke Energy Hall A
11:00 am – 12:30 pm	Personalized Tucker Decomposition Jiuyun Hu, Arizona State University, AZ Untangling Shared, Unique, And Noisy Components Across Datasets Naichen Shi, University of Michigan, MI
Session ThB02	Interpretable Data Analytics in Manufacturing and Healthcare Chair: Shenghan Guo, Institute	Duke Energy Hall B
11:00 am – 12:30 pm	Interpretable Chip-quality Classification By Using Wire-bonding Machine Signal Data Alp Akcay, Eindhoven University of Technology, Netherlands Real-time Defect Detection Using Online Learning For Laser Metal Deposition Shenghan Guo, Arizona State University, AZ Automated Registration of Polarized Light Microscopy Images Using Deep Learning Techniques Nathan Johnston, Air Force Institute of Technology, OH
Session ThB03	Statistical Inference and Visualization of Complex Data Chair: Andi Wang, Arizona State University, AZ	Duke Energy Hall C
11:00 am – 12:30 pm	Interpretation And Visualization of Distance Covariance Through Additive Decomposition Of Correlations Formula Andi Wang, Arizona State University, AZ Interpretable Causal Inference for Distributional Data Analysis Srikar Katta, Duke University, NC Inference Of Nonlinear Partial Differential Equations Via Constrained Gaussian Processes Zhaohui Li, Georgia Institute of Technology, GA
Session ThB04	Classical Reliability Analysis with Real-World Challenges Chair: Rui Wang, North Carolina State University, NC	Duke Energy Hall D
11:00 am – 12:30 pm	An Optimization-based Monte Carlo Method For Estimating The Two-terminal Survival Signature Of Systems With Two Component Classes Daniel Lopes da Silva, Clemson University, SC A Federated Data Fusion-Based Prognostics Model for Applications with Incomplete Signals Madi Arabi, North Carolina State University, NC Remaining Useful Life Prediction For Lithium-ion Batteries Based On Two-phase Degradation Model With Change Point Detection Rui Wang, North Carolina State University, NC