Research output per year
Research output per year
Personal profile
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Dive into the research topics where Rong Pan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Physics-Informed Neural Network Modeling Approach to Direct Ink Writing 3D Printing Process
Sharma, V., Pan, R. & Pedrielli, G., 2023, 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023. IEEE Computer Society, (IEEE International Conference on Automation Science and Engineering; vol. 2023-August).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A two-stage data-driven approach to remaining useful life prediction via long short-term memory networks
Zhang, H., Xi, X. & Pan, R., Sep 2023, In: Reliability Engineering and System Safety. 237, 109332.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Design strategies and approximation methods for high-performance computing variability management
Wang, Y., Xu, L., Hong, Y., Pan, R., Chang, T., Lux, T., Bernard, J., Watson, L. & Cameron, K., 2023, In: Journal of Quality Technology. 55, 1, p. 88-103 16 p.Research output: Contribution to journal › Article › peer-review
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Analyzing ALT Data with Time-varying Stress Profile
Pan, R., 2022, 68th Annual Reliability and Maintainability Symposium, RAMS 2022. Institute of Electrical and Electronics Engineers Inc., (Proceedings - Annual Reliability and Maintainability Symposium; vol. 2022-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A novel hybrid resampling for semiconductor wafer defect bin classification
Park, Y. J., Pan, R. & Montgomery, D. C., 2022, (Accepted/In press) In: Quality and Reliability Engineering International.Research output: Contribution to journal › Article › peer-review
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Risk-Based Approach to Operations Excellence Work
Los Alamos National Laboratory (LANL)
9/1/23 → 8/31/24
Project: Research project
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FMRG: Cyber: Cyber-Coordinated Analytical Framework for Multi-stage Distributed Future Manufacturing Systems
National Science Foundation (NSF)
11/15/21 → 8/11/23
Project: Research project
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Location-Aware Influence Maximization
DOD-USAF: Air Force Research Labs (AFRL)
5/9/19 → 12/31/19
Project: Research project
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Preparing for the future: co-creating the entrepreneurial mindset through faculty and student development
Collofello, J., Pan, R., Bekki, J., Krause, S., Pendyala, R., Herrmann, M., Hjelmstad, K., Ozev, S., Kleim, J. & Holman, Z.
5/8/18 → 2/28/21
Project: Research project
Datasets
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A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data
Fang, G. (Creator) & Pan, R. (Creator), Taylor & Francis, 2023
DOI: 10.6084/m9.figshare.23808098, https://tandf.figshare.com/articles/dataset/A_Class_of_Hierarchical_Multivariate_Wiener_Processes_for_Modeling_Dependent_Degradation_Data/23808098
Dataset
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A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data
Fang, G. (Creator) & Pan, R. (Creator), Taylor & Francis, 2023
DOI: 10.6084/m9.figshare.23808098.v1, https://tandf.figshare.com/articles/dataset/A_Class_of_Hierarchical_Multivariate_Wiener_Processes_for_Modeling_Dependent_Degradation_Data/23808098/1
Dataset