LIU Qingli
PhD
Qingli obtained a Ph.D. in the Department of Aeronautical and Aviation Engineering (AAE) at The Hong Kong Polytechnic University in December 2025. She is currently working as a full-time Research Assistant with Prof. LI Fan.
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Her research focuses on Agentic AI–based accident investigation and analysis in transportation systems. She is particularly interested in applying large language models (LLMS) and agent-based reasoning to reconstruct accident causation, support safety analysis, and enhance decision-making in complex socio-technical systems. In addition, her research interests include human–AI interaction, aviation human factors, and flight training safety, with an emphasis on cognitive processes, behavioral patterns, and human–automation coordination.
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In spare time, she enjoy swimming and hiking.
Education
Interest
Publication
PhD in transoporation safety, 2025
The Hong Kong Polytechnic University (PolyU)
Master in Technology Economy and Management, 2022
Chongqing University, Chongqing, China
Bachelor in Engineering Management, 2018
Liaoning Technical University, Huludao, China
Aviation Accident Analysis
Intelligent transportation safety systems
Pedestrians Aging
Human–AI knowledge modeling and transfer
LLMs, prompt engineering, agentic AI, multi-agent
Liu, Q., Huang, R., & Li, F*. From Accident Evidence to Causal Graphs: Field Theory–Guided General Aviation Accident Investigation with LLMs. Reliability Engineering & System Safety. (Under Review)
Liu, Q., Song, P., & Li, F*. (2025). Exploring the dynamic determinants of general aviation
accidents across flight phases and time: A random parameter bivariate probit approach
with heterogeneity in means. Analytic Methods in Accident Research, 100386.
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Liu, Q., Li, F*., Ng, K. K., Han, J., & Feng, S. (2025). Accident investigation via LLMs reasoning: HFACS-guided Chain-of-Thoughts enhance general aviation safety. Expert Systems with Applications, 269, 126422.
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Liu, Q., Yan, Y., Li, F*., & Feng, S. (2024). Show the Way: Accelerating General Aviation Accident Investigations through LLMs and HFACS. In: Gesa Praetorius, Charlott Sellberg and Riccardo Patriarca (eds) Advances in Human Factors of Transportation. AHFE (2024) International Conference. AHFE Open Access, vol 148. AHFE International, USA. http://doi.org/10.54941/ahfe1005197.
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Liu, Q., Li, F*., & Ng, K. K. (2024). Unveiling the determinants of injury severities across
age groups and time: A deep dive into the unobserved heterogeneity among pedestrian
crashes. Analytic Methods in Accident Research, 100336.
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Yang, Y., Zhao, B*., & Liu, Q. (2024). Exploring the driving mechanism and path of BIM
for green buildings. Journal of Civil Engineering and Management, 30(1), 67-84.
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Han, S., Li, F*., Wang, T., Zhang, Y., & Liu, Q. (2023, October). Assessment of the Crew
On-Duty Status Based on the Dynamic Probabilistic Risk Platform. In Proceedings of
the AAAI Symposium Series (Vol. 1, No. 1, pp. 73-79).
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Liu, Q., Han, S., Li, F*., & Lee, C. H. (2023). Group Dynamics and Air Traffic Controllers’
Safety Behaviors: Self-Efficacy as a Mediator. In Leveraging Transdisciplinary
Engineering in a Changing and Connected World (pp. 202-211).IOS Press.
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Ye, G*, Wang Y, Ren M, Liu Q, & Yu J. (2023). Study on influence effect of physical fatigue
on unsafe behavior of construction workers. Journal of Safety Science
and Technology,19(01):122-127. (CSCD) (Published in Chinese)
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Liu, Q., Ye, G*., Yang, J., Xiang, Q., & Liu, Q. (2022). Construction
workers’ representativeness heuristic in decision making: The impact of
demographic factors. Journal of Construction Engineering and Management, 148(4),
04022005.
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Wang Dan*, Liu Q., & Liu Guofeng, 2017. Analysis of formwork collapse accident based on
accident 2-4 cause model. Journal of Engineering Management (Published in Chinese)