一. 研究领域

海事安全管理、港口与航运物流、港口国监督检查、风险评估与预测、基于人工智能算法的数据驱动建模

二. 教育背景

2015.07-2018.10，Liverpool John Moores University，港口航运与物流管理，博士

2011.09-2015.06，上海交通大学，交通运输（原国际航运），学士

三. 工作履历

2025.01至今，深圳技术大学，城市交通与物流学院，副教授

2021.06至2025.01，深圳技术大学，城市交通与物流学院，助理教授

2019.03-2020.03，Liverpool John Moores University，博士后助理研究员

四. 研究成果

1. 科研项目

（1）国家自然科学基金青年项目，港口国监督检查受检船舶选择机制建模与优化研究，52301421，2024/01-2026/12，经费30万元，在研，主持

（2）教育部人文社会科学研究一般项目青年基金项目，粤港澳大湾区船舶碳排放监管系统建模与优化研究，23YJCZH274，2023/10-2026/12，经费8万元，在研，主持

（3）广东省哲学社会科学规划学科共建项目，双碳战略下大湾区船舶碳排放量建模与控制策略研究，GD23XGL117，2023/09-2025/12 ，经费 2万元，在研，主持

（4）深圳技术大学新引进高精尖缺人才科研启动项目，粤港澳大湾区船舶航行风险评估与监管检查机制优化研究，GDRC202212， 2023/01-2025/12，经费 270万元，在研，主持

（5）工业和信息化部，高技术船舶专项基金，高技术远洋客船建造物流集配体系关键技术研究，工信部装函 [2019]331号，2020/01-2023/12，经费310万元，结题，主要参与

（6）欧盟（EU）, 欧盟“地平线2020”框架计划（H2020-MSCA-RISE-2018），复杂社会技术系统中人为表现的提升（ENHANCing Human Performance in Complex Socio-Technical SystEms），823904，2019/02-2023/10, 经费780万元, 结题，主要参与

（7）英国交通部（UK DfT）, 英国交通部项目, 骑行风险预测（Cycling risk prediction）, 2018/01-2020/12, 经费46.5万元, 结题, 主要参与

2. 期刊论文

（1）Yang, Z S., Wan, C P., Yu, Q., Yin, J B., Yang, Z L. 2023. A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection. Transportation Research Part E: Logistics and Transportation Review, 180, 103331.（JCR 1区，中科院1区Top)

（2）Yang, Z S., Lau, Y-y, Kanrak, M. 2023. Pollution prevention of vessels in the greater bay area: A practical contribution of port state control inspection system towards carbon neutralisation using a tree augmented naive bayes approach. Journal of Cleaner Production, 423, 138651. （JCR 1区，中科院1区Top)

（3）Yang, Z S., Yang, Z L. Key Contributory Factors Influencing Cycling Safety: Comprehensive Review Based on Accident Data and Literature Survey, Asce-Asme Journal of Risk and Uncertainty in Engineering Systems Part A-Civil Engineering, 2023, 9(3): 04023018. (JCR 3区，中科院3区)

（4）Liu, K Z., Yu, Q., Yang, Z S.,* Wan, C P., Yang, Z L. 2022. BN-based port state control inspection for Paris MoU: New risk factors and probability training using big data. Reliability Engineering and System Safety, 224: 108530. (JCR 1区，中科院1区Top)

（5）Yang, Z S., Wan, C P., Yang, Z L. 2021. Using Bayesian network-based TOPSIS to aid dynamic PSC detention risk control decision. Reliability Engineering and System Safety, 213: 107784. (JCR 1区，中科院1区Top)

（6）Yang, Z L., Yang, Z S.,* Smith, J. & Robert, B A P. 2021. Risk analysis of bicycle accidents: A Bayesian approach. Reliability Engineering and System Safety, 209: 107460.  (JCR 1区，中科院1区Top)

（7）Yang, Z S., Yang, Z L., Teixeira, A  P. 2020. Comparative Analysis of the Impact of New Inspection Regime on Port State Control Inspection. Transport Policy, 92: 65-80. （JCR 1区，中科院2区)

（8）Yang, Z S., Yang, Z L., Yin, J B., Qu, Z H. 2018. A risk-based game model for rational inspections in Port State Control. Transportation Research Part E: Logistics and Transportation Review, 118: 477-495.（JCR 1区，中科院1区Top)

（9）Yang, Z S., Yang, Z L., Yin, J B. 2018. Realising advanced risk-based Port State Control Inspection using data-driven Bayesian networks. Transportation Research Part A: Policy and Practice, 110: 38-56.（JCR 1区，中科院2区，ESI高被引)

（10）Liu, J., Jiang, X C., Huang, W N., He, Y K., Yang, Z S. 2022. A novel approach for navigational safety evaluation of inland waterway ships under uncertain environment. Transportation Safety and Environment, 4(1): 1-10. （EI）

（11）Yu, Q., Liu, K.Z., Yang, Z S., Wang, H B., Yang, Z L. 2021. Geometrical Risk Evaluation of the Collisions between Ships and Offshore Installations using Rule-based Bayesian Reasoning. Reliability Engineering and System Safety, 210: 107474. （JCR1区，中科院1区Top）

（12）Liu, K Z., Yu, Q., Yuan, Z T., Yang, Z S., Shu, Y Q. 2021. Geometrical Risk Evaluation of the Collisions between Ships and Offshore Installations using Rule-based Bayesian Reasoning. Ocean and Coastal Engineering, 213: 105859.

（13）Wang, Y H., Zhang, F., Yang, Z S., Yang, Z L. 2021. Incorporation of deficiency data into the analysis of the dependency and interdependency among the risk factors influencing port state control inspection. Reliability Engineering and System Safety, 206: 1-13. (JCR1区，中科院1区Top)

3. 会议论文

（1）Yang, Z S., Wan, C P., Yang, Z L. 2020. Using Bayesian network-based TOPSIS to aid PSC detention risk control decision. IAME 2020, June 10-13, Hong Kong.

（2）Yang, Z S., Yang, Z L., Yin, J B. 2019. Use of Bayesian Network to analyse risk-based game model of Port State Control. IAME 2019, June 25-28, Athens, Greece.

（3）Yang, Z S., Yang, Z L. 2017. Research developments of game theory in transportation: Current situation and future direction. LISS 2017, July 24-27, Beijing, China.

（4）Yang, Z S., Yang, Z L., Yin, J B. 2017. Use of Bayesian Network to Model Risk-based Port State Control Inspection. IAME 2017, June 27-30, Kyoto, Japan. (Given the Maritime Policy & Management Best Paper Award)

（5）Wang, G., Yang, Z S., Zhang, D., Huang, A Q., Yang, Z L. 2016. Application of Bayesian networks in analysing tanker shipping bankruptcy risks. IAME 2016, August 23-26, Hamburg, Germany.

（6）Yang, Z S., Yin, J B., Fan, L X. 2016. Maritime Safety Management Strategy Based on Game Theory Analysis. Transportation Research Board 95th Annual Meeting, January 10-14, Washington DC, United States.

五. 荣誉及任职

1. 荣誉

（1）深圳技术大学“鹏城孔雀计划”特聘岗位，2022-2024年

（2）Emerald Highly Commended Paper Award，2018年

（3）IAME2017会议“MPM Best Paper Award”，2017年

2. 任职

（1）世界交通运输大会（WTC）第三届学部委员会运输规划学部综合立体交通运输规划学科城市物流与多式联运技术委员会青年委员，2023年12月-2026年10月

（2）担任ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 期刊特刊"Risk assessment and Safety Analysis of Maritime Transport"客座编辑

六. 在授本科课程

（1）物流设施与设备

（2）数据库原理与应用

E-mail： yangzhisen@sztu.edu.cn