< Logistics Management
* Maritime Safety and Risk Analysis
* Transportation System Resilience
* Maritime Transportation and Port Systems
* Artificial Intelligence and Data-Driven Transportation
* Intelligent Shipping and Smart Port Systems
* Multimodal Transportation and Logistics
* Sustainable Transportation
Dr. Nanxi Wang is currently an Associate Professor at Ningbo University. She received her Ph.D. in Maritime Studies from Nanyang Technological University (NTU), Singapore, in 2025, where she subsequently worked as a Research Fellow until September 2026. She received her M.Eng. in Logistics Engineering from Shanghai Maritime University in 2021 and her B.Eng. in Oil and Gas Storage and Transportation Engineering from Southwest Petroleum University in 2018.
Her research focuses on maritime safety and risk analysis, transportation system resilience, intelligent maritime transportation, and data-driven decision-making. Her work integrates artificial intelligence, machine learning, probabilistic modelling, network analysis, and system modelling to investigate the safety, resilience, and sustainability of maritime and transportation systems.
Her recent research interests particularly focus on the application of artificial intelligence and large language models to maritime safety, smart shipping, port operations, transportation resilience, and complex transportation system analysis.
1.Wang, N., Wu, M., & Yuen, K. F. (2025). Dynamic enterprise resilience assessment for port systems: A framework integrating Bayesian networks and Dempster-Shafer evidence theory. Reliability Engineering & System Safety, 262, 111105.
2.Wang, N., Yuen, K. F. *, Li, D., Wong, Y. D., & Tan, K. H. (2025). A Bayesian Network Approach to Ship Safety Assessment: Integrating Machine Learning and Expert Opinions. Reliability Engineering & System Safety, 111659.
3.Wang, N., Yuen, K. F., Gao, X., & Nie, Y. (2025). Resilience assessment of global container shipping network via port communities. Transportation Research Part D: Transport and Environment, 104649.
4.Wang, N., Wu, M., & Yuen, K. F.* (2024). Modelling and assessing long-term urban transportation system resilience based on system dynamics. Sustainable Cities and Society, 109, 105548.
5.Wang, N., Wu, M., Yuen, K. F.*, & Gao X. (2024). Urban transportation system long-term resilience assessment using multi-dimensional dynamic Bayesian network. Transportation Research Part D: Transport and Environment, 104427.
6.Wang, N., Yuen, K. F.*, Yuan, J., & Li, D. (2024). Ship collision risk assessment: A multi-criteria decision-making framework based on Dempster–Shafer evidence theory. Applied Soft Computing, 111823.
7.Wang, N., Wu, M., & Yuen, K. F.* (2023). Assessment of port resilience using Bayesian network: A study of strategies to enhance readiness and response capacities. Reliability Engineering & System Safety, 237, 109394.
8.Wang, N., Wu, M., & Yuen, K. F.* (2023). A novel method to assess urban multimodal transportation system resilience considering passenger demand and infrastructure supply. Reliability Engineering & System Safety, 238, 109478.
9.Wang, N. & Yuen, K.F.* (2022) Resilience assessment of waterway transportation systems: Combining system performance and recovery cost, Reliability Engineering & System Safety, 226, 108673.
10.Wang, N., Chang, D., Yuan, J. *, Shi, X., & Bai, X. (2020). How to maintain the safety level with the increasing capacity of the fairway: A case study of the Yangtze Estuary Deepwater Channel. Ocean Engineering, 216, 108122.
11.Wang, N., Yuen, K. F.*, Chang, D., & Gao, Y. (2023). Analysis of the Key Factors Influencing Automation Transformation in Container Terminals Based on the Dempster–Shafer Evidence Interval Method. Transportation Research Record, 03611981231201113.
12.Wang, N., Liu, C., Zhou, X., Xiao, J., Li, D., & Yuen, K. F. (2026). Deep learning-based ship collision risk assessment under limited data: a Variational Autoencoder with Multilayer Perceptron and convolutional neural network approach. Maritime Policy & Management, 1-27.
