Rong Pan
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Phone: 480-965-4259
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BYENG 352 TEMPE, AZ 85287-8809
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Mail code: 8809Campus: Tempe
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Rong Pan is a professor of industrial engineering and data science in the School of Computing and Augmented Intelligence at Arizona State University and a Fellow of the American Society for Quality. He serves as program chair of the Data Science, Analytics and Engineering program and previously led ASU’s Industrial Engineering and Engineering Management programs. Before joining ASU in 2006, he was an assistant professor at the University of Texas at El Paso and held industrial positions in quality engineering.
Professor Pan’s research integrates statistical modeling, data analytics, and artificial intelligence to improve the reliability and performance of complex engineering systems. His foundational contributions span quality and reliability engineering, accelerated life and degradation testing, design of experiments, Bayesian modeling, time-series analysis and system reliability. His recent work extends these foundations to causal discovery, graph learning, data quality and diversity, change-point detection, knowledge graphs, trustworthy AI, and human-AI systems. He also applies digital twins and data-driven methods to multistage advanced manufacturing, where decisions and quality outcomes are coupled across processes. His research has been supported by the National Science Foundation, Department of Energy, Department of Defense, Air Force Research Laboratory, and Los Alamos National Laboratory.
Pan is an editor of the Journal of Quality Technology and previously served as chair of the ASQ Reliability and Risk Division. His honors include the IISE William A. Golomski Award, the Society of Reliability Engineers Stan Ofsthun Award, the American Statistical Association’s Statistics in Physical and Engineering Sciences Award and multiple Quality Engineering Best Reliability Paper Awards. He coauthored Design of Experiments for Reliability Achievement and has mentored students whose research received first-place RAMS student paper awards. Pan earned his doctorate in industrial engineering, with a minor in statistics, from Pennsylvania State University, a master’s degree from the joint FAMU-FSU College of Engineering and a bachelor’s degree from Shanghai Jiao Tong University.
- Ph.D. Industrial Engineering, Pennsylvania State University 2002
- M.S. Industrial Engineering, Florida A&M University 1999
- B.S. Materials Science and Engineering, Shanghai Jiao Tong University, China 1995
My research integrates statistical modeling, data analytics, and artificial intelligence to improve the reliability, safety, and performance of complex systems. My foundational interests include quality and reliability engineering, design of experiments, accelerated life and degradation testing, Bayesian modeling, time-series analysis, and system reliability. Building on these foundations, I study causal discovery, graph learning, change-point detection, data quality and diversity, knowledge graphs and trustworthy AI. I am also interested in advanced manufacturing systems, particularly the use of digital twins, machine learning, and human-AI collaboration to coordinate multistage manufacturing processes. Across these areas, my goal is to develop rigorous and practical methods that transform heterogeneous, limited data into reliable knowledge to inform engineering decisions.
2026
- Fang, G., Wang, Y., & Pan, R. (2026). Planning accelerated degradation tests with random-effects Wiener process models. Technometrics. Advance publication/in press.
- Park, Y.-J., Cheng, K.-Y., Pan, R., Montgomery, D. C., Dang, Q.-V., & Lee, J. (2026). A novel hybrid resampling based on relative class-impurity for class imbalanced problems. International Journal of Intelligent Systems, 2026(1), Article 5593646. https://doi.org/10.1155/int/5593646
- Liang, P., Yang, C., He, Y., Pan, R., & Chen, Y. (2026). Topology-guided graph pre-training and prompt learning on directed graphs. Transactions on Machine Learning Research.
- Zhuang, L., Ma, Y., Wang, J., Pan, R., & Xu, A. (2026). From statistical modeling to AI-integrated inverse Gaussian process: A comprehensive review for prognostics and health management. Engineering Management, 13(1), 65–84. https://doi.org/10.1007/s42524-026-5388-8
2025
- Fang, G., Pan, R., Wang, Y., He, H., & Yu, W. (2025). Exploring initiation-growth correlation in accelerated degradation testing data: Both classical and Bayesian approaches. IEEE Transactions on Reliability, 74(3), 4348–4360. https://doi.org/10.1109/TR.2024.3471796
- Ba, Y., Mancenido, M. V., Chiou, E. K., & Pan, R. (2025). Data quality in crowdsourcing and spamming behavior detection. Behavior Research Methods, 57(9), Article 251. https://doi.org/10.3758/s13428-025-02757-5
- Zhao, H., & Pan, R. (2025). Gaussian derivative change-point detection for early warnings of industrial system failures. Reliability Engineering & System Safety, 256, Article 110681. https://doi.org/10.1016/j.ress.2024.110681
- Hansen, H. J., Walsh, S. J., & Pan, R. (2025). A non-approximate method for generating G-optimal RSM designs. Quality and Reliability Engineering International, 41, 344–360. https://doi.org/10.1002/qre.3660
- Elrefaey, A., & Pan, R. (2025). Causal discovery by interventions via integer programming. Proceedings of the AAAI Conference on Artificial Intelligence, 39(16), 16480–16487. https://doi.org/10.1609/aaai.v39i16.33810
2024
- Ba, Y., Mancenido, M. V., & Pan, R. (2024). Fill in the gaps: Model calibration and generalization with synthetic data. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 17211–17225). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.955
- Wu, C., Pan, R., Zhao, X., & Wang, X. (2024). Designing preventive maintenance for multi-state systems with performance sharing. Reliability Engineering & System Safety, 241, Article 109661. https://doi.org/10.1016/j.ress.2023.109661
- Taylor, D., Rigdon, S. E., Pan, R., & Montgomery, D. C. (2024). Bayesian D-optimal design for life testing with censoring. Quality and Reliability Engineering International, 40(1), 71–90. https://doi.org/10.1002/qre.3228
- Fang, G., & Pan, R. (2024). A class of hierarchical multivariate Wiener processes for modeling dependent degradation data. Technometrics, 66(2), 141–156. https://doi.org/10.1080/00401706.2023.2242413
- Cyber-Coordinated Analytical Framework for Multistage Distributed Future Manufacturing Systems (2021–2026): Serving as ASU principal investigator on this NSF Future Manufacturing project to develop data-driven coordination methods for complex multistage manufacturing systems.
- Risk-Based Approach to Operational Excellence (2023–2024): Led a project funded by Los Alamos National Laboratory to develop risk-quantification and management methods for improving operational flexibility, productivity, and regulatory decision-making.
- Optimal Experimental Designs for Repairable Systems (2023): Led an Air Force-funded project, in collaboration with Stevens Institute of Technology, to improve test-analysis-fix-retest programs for complex repairable systems.
- Developing statistical and AI methods for accelerated degradation testing, prognostics, remaining useful life prediction, and complex-system reliability.
- Investigating causal discovery, topology-guided graph learning, change-point detection, and continual learning for dynamic data.
- Studying data quality, dataset diversity, trustworthy AI, LLM-based evaluation, knowledge-graph construction, and memory governance for autonomous AI systems.
Courses
2026 Fall
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| CSE 599 | Thesis |
| DSE 792 | Research |
| DSE 799 | Dissertation |
| DSE 795 | Continuing Registration |
| DSE 501 | Statistics for Data Analysts |
| DSE 584 | Internship |
| DSE 584 | Internship |
| IEE 793 | Applied Project |
| IEE 795 | Continuing Registration |
2026 Summer
| Course Number | Course Title |
|---|---|
| DSE 584 | Internship |
| DSE 584 | Internship |
2026 Spring
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| CSE 599 | Thesis |
| DSE 792 | Research |
| DSE 799 | Dissertation |
| DSE 580 | Practicum |
| IEE 573 | Reliability Engineering |
| DSE 795 | Continuing Registration |
| DSE 501 | Statistics for Data Analysts |
| DSE 584 | Internship |
| DSE 584 | Internship |
| IEE 573 | Reliability Engineering |
| DSE 790 | Reading and Conference |
2025 Fall
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| CSE 599 | Thesis |
| DSE 580 | Practicum |
| DSE 792 | Research |
| DSE 799 | Dissertation |
| DSE 795 | Continuing Registration |
| DSE 790 | Reading and Conference |
| DSE 792 | Research |
| DSE 501 | Statistics for Data Analysts |
| DSE 584 | Internship |
| DSE 584 | Internship |
2025 Summer
| Course Number | Course Title |
|---|---|
| DSE 584 | Internship |
| DSE 584 | Internship |
2025 Spring
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| CSE 599 | Thesis |
| IEE 799 | Dissertation |
| DSE 792 | Research |
| DSE 580 | Practicum |
| DSE 598 | Special Topics |
| IEE 598 | Special Topics |
| CSE 598 | Special Topics |
| DSE 501 | Statistics for Data Analysts |
| DSE 584 | Internship |
| DSE 584 | Internship |
2024 Fall
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| IEE 580 | Practicum |
| IEE 784 | Internship |
| IEE 792 | Research |
| IEE 799 | Dissertation |
| IEE 599 | Thesis |
| IEE 584 | Internship |
| DSE 580 | Practicum |
| DSE 792 | Research |
| DSE 799 | Dissertation |
| IEE 790 | Reading and Conference |
| DSE 501 | Statistics for Data Analysts |
| DSE 584 | Internship |
| DSE 584 | Internship |
2024 Summer
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| IEE 584 | Internship |
| DSE 792 | Research |
| DSE 584 | Internship |
| DSE 795 | Continuing Registration |
| DSE 792 | Research |
| DSE 584 | Internship |
2024 Spring
| Course Number | Course Title |
|---|---|
| IEE 300 | Economic Analys for Engineers |
| IEE 580 | Practicum |
| CSE 580 | Practicum |
| DSE 792 | Research |
| IEE 580 | Practicum |
| DSE 799 | Dissertation |
| DSE 580 | Practicum |
| DSE 598 | Special Topics |
| IEE 598 | Special Topics |
| CSE 598 | Special Topics |
| DSE 795 | Continuing Registration |
2023 Fall
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| IEE 580 | Practicum |
| IEE 784 | Internship |
| IEE 792 | Research |
| IEE 799 | Dissertation |
| IEE 599 | Thesis |
| IEE 584 | Internship |
| DSE 580 | Practicum |
| DSE 792 | Research |
| IEE 598 | Special Topics |
| DSE 598 | Special Topics |
| DSE 799 | Dissertation |
| DSE 580 | Practicum |
2023 Summer
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| IEE 584 | Internship |
| IEE 572 | Design Engineering Experiments |
| IEE 578 | Regression Analysis |
2023 Spring
| Course Number | Course Title |
|---|---|
| IEE 300 | Economic Analys for Engineers |
| IEE 795 | Continuing Registration |
| IEE 580 | Practicum |
| IEE 784 | Internship |
| IEE 792 | Research |
| IEE 799 | Dissertation |
| IEE 584 | Internship |
| DSE 580 | Practicum |
| IEE 790 | Reading and Conference |
| IEE 573 | Reliability Engineering |
| IEE 573 | Reliability Engineering |
| IEE 799 | Dissertation |
2022 Fall
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| IEE 580 | Practicum |
| IEE 784 | Internship |
| IEE 792 | Research |
| IEE 799 | Dissertation |
| IEE 599 | Thesis |
| IEE 584 | Internship |
| IEE 300 | Economic Analys for Engineers |
| DSE 580 | Practicum |
| IEE 598 | Special Topics |
| CSE 598 | Special Topics |
| DSE 598 | Special Topics |
| DSE 792 | Research |
2022 Summer
| Course Number | Course Title |
|---|---|
| IEE 584 | Internship |
| IEE 573 | Reliability Engineering |
2022 Spring
| Course Number | Course Title |
|---|---|
| IEE 300 | Economic Analys for Engineers |
| IEE 580 | Practicum |
| IEE 599 | Thesis |
| IEE 784 | Internship |
| IEE 792 | Research |
| IEE 799 | Dissertation |
| IEE 385 | Engr Statistics - Probability |
| IEE 584 | Internship |
2021 Fall
| Course Number | Course Title |
|---|---|
| IEE 795 | Continuing Registration |
| IEE 580 | Practicum |
| IEE 784 | Internship |
| IEE 792 | Research |
| IEE 799 | Dissertation |
| IEE 599 | Thesis |
| IEE 584 | Internship |
| IEE 670 | Mathematical Statistics |
- Pan, Rong. Bayesian Inference Models for Step Stress Accelerated Reliability Testing. NSF CMMI Engineering Research and Innovation Conference (Jan 2008).
- Pan, Rong. Optimal Reliability Tests for Multiple Stresses. 2007 INFORMS Annual Meeting (Nov 2007).
- Pan, Rong. Effects of Common Cause Failure on the System subject to Competing Risks. The 51st ASA/ASQ Fall Technical Conference (Oct 2007).
- Pan, Rong. Green Supply Chain Management adn its Opportunities. 2007 Southeast INFORMS Meeting (Oct 2007).
- Pan, Rong. Effects of Failure Cause Censoring at Accelerated Life Tests. INFORMS 2006, Pittsburgh, PA (Nov 2006).
- Pan, Rong. Modeling and Analysis of Profiled Reliability Tests. 2006 NSF Grantee Meeting, St. Louis, MO (Jul 2006).
- Pan, Rong. Integrating Field Failure Data and Laboratory Testing Data for a Realistic Reliability Prediction. 2006 IERC Conference, Orlando, FL (May 2006).
- Fellow, American Society for Quality, 2024
- Visiting Faculty Research Award, Air Force Research Laboratory, 2026, 2019 and 2014
- Quality Engineering Best Reliability Paper Award, 2025, 2013 and 2012
- William A. Golomski Award, IISE, 2020 and 2015
- Statistics in Physical and Engineering Sciences Award, American Statistical Association, 2017
- Stan Ofsthun Award, Society of Reliability Engineers, 2018, 2011 and 2008
- First Place, Thomas L. Fagan Jr. RAMS Student Paper Award, 2025 and 2018
- Editor, Journal of Quality Technology, 2025–2027
- Book Review Editor, Journal of Quality Technology, 2019–2023; Editorial Board Member, 2006–present
- Editorial Board Member, Quality Engineering, 2011–present
- Associate Editor, IEEE Transactions on Reliability, 2018–2021
- Guest Editor, Quality and Reliability Engineering International, 2022 and 2024
- Guest Editor, Quality Engineering, 2016–2017, 2020 and 2023
- Fellow, American Society for Quality (ASQ)
- Senior Member, Institute of Industrial and Systems Engineers (IISE)
- Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
- Lifetime Member, Society of Reliability Engineers (SRE)
- Member, Institute for Operations Research and the Management Sciences (INFORMS)
Professor Pan provides extensive service to the university and the quality and reliability community. He serves as editor of the Journal of Quality Technology and previously chaired the ASQ Reliability and Risk Division. He has held editorial roles with IEEE Transactions on Reliability and Quality Engineering, served on NSF review panels and numerous conference committees, and reviewed hundreds of scholarly manuscripts. At ASU, his service includes program leadership, faculty governance, personnel committees, graduate education and student advising.