一、研究领域

航运物流安全研究、港口&物流管理、航运市场分析、大数据建模、不确定因素下的决策问题

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

2021.06-至今深圳技术大学，城市交通与物流学院，助理教授

2019.03-2020.03 Liverpool John Moores University,博士后

四、研究成果

1. 获得荣誉

（1）The MPM Excellent Conference Paper Award at IAME Conference, 2018

（2）Emerald Literati Award Highly Commended Paper, 2018

1. 科研项目

（1）国家工信部项目-高技术远洋客船建造物流集配体系关键技术研究，2019-2024，在研，参与

（2）英国UK DfT交通部项目，Mersey Travel Cycling Safety Management and Cycling risk prediction，2017-2020，子课题负责

（3）欧盟EU H2020项目，ENHANCE - Human Reliability Analysis and Training，2019-2020，参与

（4）欧盟EU Marie Curie项目，ENRICH – EU China Research Network on Integrated Supply Chains，2015-2017，参与

1. 期刊论文

(1)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, Vol 214

(2) 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, Vol 210.

(3) Yang, Z.L.,Yang, Z.S.*(通讯), Smith, J. & Robert, B.A.P. 2021. Risk analysis of bicycle accidents: A Bayesian approach. Reliability Engineering and System Safety, Vol 209

(4) 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, Vol 206, 1-13

(5)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, Vol. 92, 65-80.

(6)Yang, Z.S., Yang, Z.L., Yin, J. & Qu, Z. 2018. A risk-based game model for rational inspections in Port State Control. Transportation Research Part E: Logistics and Transportation Review, Vol. 118, 477-495.

(7)Yang, Z.S, Yang, Z.L. & Yin, J. 2018. Realising advanced risk-based Port State Control Inspection using data-driven Bayesian networks. Transportation Research Part A: Policy and Practice, Vol. 110, 38-56.

(8) Wang, G.,Yang, Z.S., Zhang, D., Huang, A. & Yang, Z.L. 2017. Application of Bayesian networks in analysing tanker shipping bankruptcy risks. Maritime Business Review, Vol. 2, Issue 3, 177-198.

1. 会议论文

(1)Yang, Z.S., Wan, C.P. & Yang, Z.L. Using Bayesian network-based TOPSIS to aid PSC detention risk control decision. IAME 2020, 10-13 June, 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, 25-28 June, Athens, Greece.

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

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

(5) Wang, G.,Yang, Z.S., Zhang, D., Huang, A. & 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, 2016-1-10 to 2016-1-14, Washington DC, United States.

E-mail： yangzhisen@sztu.edu.cn