Overview
Background
Yifei Lin is a researcher at The University of Queensland’s Sustainable Minerals Institute, working in power systems modelling, geospatial analysis and risk management. Yifei combines engineering, information technology and network analysis to understand complex systems and support informed decisions about risk, reliability and resilience. Current work focuses on developing detailed models of electricity distribution networks at state scale using open tools and dtasets. This research brings together engineering modelling and geographic data to represent how electricity networks are structured and support their simulation and analysis. With a multidisciplinary background in civil engineering and information technology, Yifei’s experience spans plant reliability, risk assessment and software development for risk assessments, electricity modelling, and underground mining hazard assessments.
Key areas: Power systems modelling; geospatial analysis; risk management; graph theory; network analysis
Availability
- Mr Yifei Lin is:
- Available for supervision
Qualifications
- Doctor of Philosophy, The University of Queensland
Research impacts
Yifei Lin’s research helps make complex risks and engineering systems easier to understand, assess and manage. Applications span energy infrastructure, mining and fire safety.\
- Supporting electricity network analysis: Current work on state-scale distribution network models aims to provide open tools and datasets that support power system simulation and research.
- Insights into risk management: Using causal network analysis to visualise risk assessment data, including risk registers, helps reveal connections between risks and evaluate the quality and consistency of risk assessments.
- Understanding accident progression: Research examines how risks and contextual factors interact to influence accident progression, providing insights to inform risk management decisions.
Works
Search Professor Yifei Lin’s works on UQ eSpace
2025
Conference Publication
The role of interdependent contexts in accident progression
Lin, Yifei, Seligmann, Benjamin J., Micklethwaite, Steven and Lange, David (2025). The role of interdependent contexts in accident progression. 35th European Safety and Reliability Conference (ESREL2025) and the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025), Stavanger, Norway, 15 - 19 June 2025. Singapore, Singapore: Research Publishing Services. doi: 10.3850/978-981-94-3281-3_esrel-sra-e2025-p4873-cd
2024
Journal Article
Causal network topology analysis: characterizing causal context for risk management
Lin, Yifei, Seligmann, Benjamin J., Micklethwaite, Steven and Lange, David (2024). Causal network topology analysis: characterizing causal context for risk management. Risk Analysis, 44 (11), 2579-2615. doi: 10.1111/risa.14337
2024
Conference Publication
Does knowledge of causal context help optimize risk treatment?
Seligmann, Benjamin J., Lin, Yifei, Micklethwaite, Steven and Lange, David (2024). Does knowledge of causal context help optimize risk treatment?. Hazards Australasia, Gold Coast, QLD, Australia, 29-30 September 2024.
2024
Conference Publication
Comparison of risk register quality and consistency using causal network topology analysis
Seligmann, B. J., Lin, Y. and Hassall, M. (2024). Comparison of risk register quality and consistency using causal network topology analysis. AusIMM International Mine Safe, Perth, WA, Australia, 15-17 April 2024.
2024
Conference Publication
Causal logic as an ‘efficiency baseline’ for risk treatment strategies
Dabner, Alexander, Seligmann, Benjamin, Lin, Yifei and Micklethwaite, Steven (2024). Causal logic as an ‘efficiency baseline’ for risk treatment strategies. 3rd International Conference on Safety and Labor Health in Mining (Safe Mining 2024), Iquique, Chile, 13-15th November 2024.
2023
Journal Article
Causal Network Topology Analysis (CaNeTA) as a tool for risk assessment in fire safety engineering
Lin, Yifei, Lange, David and Seligmann, Benjamin J. (2023). Causal Network Topology Analysis (CaNeTA) as a tool for risk assessment in fire safety engineering. Fire Safety Journal, 140 103880, 1-9. doi: 10.1016/j.firesaf.2023.103880
2023
Conference Publication
Integration will take you forward: causal networks as a new approach to address inherent problems with risk management practice in mining organisations
Seligmann, B.J., Micklethwaite, S., Forbes, G., Lin, Y., Trendle, J., Bowdidge-Calvert, C., Verster, I., Antonio, C., Ziemski, M. and Hernandez-Santin, L. (2023). Integration will take you forward: causal networks as a new approach to address inherent problems with risk management practice in mining organisations. 26th World Mining Congress, Brisbane, QLD Australia, 26-29 June 2023. Brisbane, QLD Australia: 26th World Mining Congress.
Supervision
Availability
- Mr Yifei Lin is:
- Available for supervision
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Media
Enquiries
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