Welcome to My Personal Website

Shuaiqi Yuan(原帅琪)

I am dedicated to developing quantitative models for reliability, risk, and resilience assessment of engineering systems. My research interests include industrial cyber-physical systems, chemical process safety, dynamic risk assessment, fault diagnosis, uncertainty quantification, and reliability assurance of AI in safety-critical settings.

I have published around thirty peer-review papers and several book chapters in the domains of process safety and security. A full publication list can be found in my Google Scholar: https://scholar.google.com/citations?user=QwgENusAAAAJ&hl=en. I am a reviewer for more than twenty international journals in the safety science and risk science fields, such as Safety Science, Reliability Engineering & System Safety, Risk Analysis, etc.

Educational Background

• Ph.D. Degree in Safety and Security Science, Delft University of Technology, 2024
• M.Eng. Degree in Safety Engineering, China University of Mining and Technology, Beijing, 2020
• B.Eng. Degree in Mining Engineering, China University of Mining and Technology, Beijing, 2017

Research Highlights/Interests

• Probabilistic risk assessment - quantitative risk modeling of engineering systems, such as industrial control systems and urban critical infrastructures.
• Quantitative reliability and resilience modeling - quantitative reliability/resilience modeling of engineering systems for the sake of safety or security.
• AI for safety & security - leverage AI algorithms to lift safety and security performance of engineering systems.
• Reliability assurance of AI - Uncertainty quantification of ML models; risk-aware ML for mission-critical decision settings.
• Decision-making under uncertainty - risk-based or uncertainty-informed decision-making pertinent to safety and security assurance.

Publication List(selected)

• Journal Articles
• Yuan, S., Reniers, G., & Yang, M. (2024). Integrated management of safety and security barriers in chemical plants to cope with emerging cyber-physical attack risks under uncertainties. Reliability Engineering & System Safety, 250, [110320].
• Yuan, S., Yang, M., & Reniers, G. (2024). Integrated process safety and process security risk assessment of industrial cyber-physical systems in chemical plants. Computers in Industry, 155, [104056].
• Yuan, S., Reniers, G., Yang, M., & Bai, Y. (2023). Cost-effective maintenance of safety and security barriers in the chemical process industries via genetic algorithm. Process Safety and Environmental Protection, 170, 356-371.
• Yuan, S., Cai, J., Reniers, G., Yang, M., Chen, C., & Wu, J. (2022). Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios. Reliability Engineering and System Safety, 226, [108719].
• Yuan, S., Reniers, G., & Yang, M. (2023). Dynamic-risk-informed safety barrier management: An application to cost-effective barrier optimization based on data from multiple sources. Journal of Loss Prevention in the Process Industries, 83, [105034].
• Yuan, S., Yang, M., Reniers, G., Chen, C., & Wu, J. (2022). Safety barriers in the chemical process industries: A state-of-the-art review on their classification, assessment, and management. Safety Science, 148, [105647].
• Wu, J., Cai, J., Yuan, S*., Zhang, X., & Reniers, G. (2021). CFD and EnKF coupling estimation of LNG leakage and dispersion. Safety Science, 139, [105263].
• Yuan, S., Wu, J., Zhang, X., & Liu, W. (2019). EnKF-based estimation of natural gas release and dispersion in an underground tunnel. Journal of Loss Prevention in the Process Industries, 62, [103931].
• Chen, X., Lin, W., Liu, C., Yang, F*., Guo, Y., Li, X., Yuan, S*., & Reniers, G. (2023). An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents. Journal of Loss Prevention in the Process Industries, 83, [105027].

• Book Chapters
• Yuan, S., Chen, C., Yang, M., & Reniers, G. (2021). Methods for domino effect risk management decision-making. In Methods in Chemical Process Safety (Vol. 5, pp. 461-494). Elsevier.
• Yuan, S., Xu, Y., Bai, Y., Reniers, G., & Yang, M. (2023). Conceptual and practical applications of ISD. In Methods in Chemical Process Safety. Elsevier.
• Chen, C., Reniers, G., Yang, M., & Yuan, S. (2021). Domino effect security risk assessment. In Methods in Chemical Process Safety (Vol. 5, pp. 309-330). Elsevier.

• Technical Reports
• Yang, M., Chen, C., Yuan, S., Hermias, J., & Reniers, G. L. L. M. E. (2022). Value of Safety. TU Delft library.
• Van Nunen, K. L. L, Reniers, G. L. L. M. E, Yang, M., Chen, C., & Yuan, S. (2021). (Petro)chemical clusters and safety: A cluster-specific ranking of safety parameters. TU Delft library.

Contact

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