Educational Qualifications

2021                    
Ph.D., Civil and Environamental Engineering, Nanyang Technological University

2017                    
B.Sc., Maritime Studies (First Class Honours), Nanyang Technological University 

Academic and Professional Experience

2026 - Present      
Senior Lecturer, School of Business, Singapore University of Social Sciences

2025 - Present      
Provost’s Chair, School of Business, Singapore University of Social Sciences

2022 - 2025          
Lecturer, School of Business, Singapore University of Social Sciences

2021 - 2022          
Research Fellow, Department of Civil and Environmental Engineering, National University of Singapore

Selected Publications

Refereed Journal Papers:

  • Zhu, S. and Hsieh, C.*, 2026. Analyse the moral dilemma facing autonomous vehicles with mixed logit model. Travel Behaviour and Society, 42, p.101131.
  • Wang, Z.*, Ding, Q., Ding, D.*, Zhu, S., Ren, J., Wang, Y. and Tan, C.H., 2026. Reinforcement learning-guided NSGA-II enhanced with gray relational coefficient for multi-objective optimization: Application to NASDAQ portfolio optimization. Mathematics, 14(2), p.296.
  • Wan, J.1, Zhu, S.1,*, Yunpeng Ma, 2025. Spatio-temporal crash severity analysis with cost-sensitive multi-graphs attention network. Accident Analysis & Prevention, 217, p.108007.
  • Wan, J.1 and Zhu, S.1,*, 2025. Cross-task crash severity analysis with cost-sensitive transfer graph convolutional network. IEEE Transactions on Intelligent Transportation Systems, 26(5), pp. 5899-5914.
  • Zhu, S. and Hsieh, C.*, 2025. Predictive modelling in the shipping industry: Analysis from supply and demand sides. Maritime Business Review, 10(1), pp.2-14.
  • Shen, X., Chen, J.*, Zhu, S. and Yan, R., 2024. A decentralized federated learning-based spatial–temporal model for freight traffic speed forecasting. Expert Systems with Applications, 238, p.122302.
  • Zhu, S., 2024. Comparative study of statistical and machine learning methods for streetcar incident duration analysis. International Journal of Crashworthiness, 29(1), pp.16-21.
  • Shen, X., Chen, J.*, Zhu, S. and Yu, X., 2024. A data-driven inspection method for identifying container bookings with concealed hazardous materials. Engineering Optimization, 56(9), pp.1361-1381.
  • Wan, J.1 and Zhu, S.1,*, 2023. Cost-sensitive graph convolutional network with self-paced learning for hit-and-run analysis. IEEE Transactions on Intelligent Transportation Systems, 25(2), pp.1675-1690.
  • Zhu, S., Cai, Y., Wang, M., Wang, H. and Meng, Q.*, 2023. How will China-Singapore International Land-Sea Trade Corridor affect route choice behaviour? A discrete choice model. Transport Policy, 144, pp.11-22.
  • Zhu, S., Jia, S., Sun, Q. and Meng, Q.*, 2023. An empirical study of China–Singapore International Land–Sea Trade Corridor: Analysis from supply and demand sides. Transport Policy, 135, pp.1-10.
  • Zhao, H., Yu, N.*, Zhu, S., 2023. International Land-Sea Trade Corridor for Sustainable Transportation: A Review of Recent Literature. Cleaner Logistics and Supply Chain, 6, p.100089.
  • Tan, S.* and Zhu, S., 2023. Binary search of the optimal cut-point value in ROC analysis using the F1 score. Journal of Physics: Conference Series, 2609 (1), p. 012002.
  • Zhu, S. and Meng, Q.*, 2022. What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach. Accident Analysis & Prevention, 174, p.106769.
  • Wan, J.1 and Zhu, S.1,*, 2022. Crash severity analysis with cost-sensitive graph convolutional networks. IEEE Transactions on Industrial Informatics, 19 (6), pp.7528-7540.
  • Wan, J.1 and Zhu, S.1,*, 2022. Cross-city crash severity analysis with cost-sensitive transfer learning algorithm. Expert Systems With Applications, 208, p.118129.
  • Zhu, S., 2022. Multi-objective route planning problem for cycle-tourists. Transportation Letters: the International Journal of Transportation Research, 14(3), pp.298-306.
  • Zhu, S., 2022. Analyse vehicle-pedestrian crash severity at intersection with data mining techniques. International Journal of Crashworthiness, 27(5), pp.1374-1382.
  • Zhu, S. and Wan, J.*, 2021. Cost-sensitive learning for semi-supervised hit-and-run analysis. Accident Analysis & Prevention, 158, p.106199.
  • Zhu, S., 2021. Analysis of the severity of vehicle-bicycle crashes with data mining techniques. Journal of Safety Research, 76, pp.218-227.
  • Zhu, S., 2021. Optimal fleet deployment strategy: Model the effect of shared e-bikes on bike-sharing system. Journal of Advanced Transportation, pp.1-12.
  • Zhu, S., 2021. Stochastic bi-objective optimisation formulation for bike sharing system fleet deployment. Proceedings of the Institution of Civil Engineers-Transport, 176(5), pp. 280-289.
  • Zhu, S., 2020. Investigation of vehicle-bicycle hit-and-run crashes. Traffic Injury Prevention, 21(7), pp.506-511.
  • Zhu, S. and Zhu, F.*, 2020. Multi-objective bike-way network design problem with space-time accessibility constraint. Transportation, 47(5), pp.2479-2503 .
  • Zhu, S. and Zhu, F.*, 2019. Cycling comfort evaluation with instrumented probe bicycle. Transportation Research Part A: Policy and Practice, 129, pp.217-231.

 

Note: “1” indicates “common first author”; “*” indicates “corresponding author”

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