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杨雪
作者: 点击数: 时间:2021-03-31

基本信息

姓 名:杨雪

职 称:副教授

性 别:女

联系电话:13591336118

出生年月: 1982 年 10 月

所在学科:交通运输工程

博士导师:是

硕士导师:是

Email:xue.yang@dlmu.edu.cn

个人简介

教育背景

2012-2017,挪威科技大学,RAMS专业(可靠性、可用性、可维修性、安全),工学博士

2008-2010,挪威科技大学,项目管理专业,工学硕士

2000-2004,william威廉英国,计算机科学与技术,工学学士


工作经历:

2020至今,william威廉英国,williamhill,副教授

2019-2020,Safetec Nordic AS, 挪威,高级工程师

2017-2019,挪威科技大学,海洋工程学院,博士后

2018-2018,加利福尼亚大学洛杉矶分校(UCLA),访问学者

2016-2017,挪威科技大学 安全工程 (RAMS),研究员

2004-2008,松下电器软件开发大连有限公司,项目经理


进修情况:

2011-2012,挪威科技大学,RAMS专业(可靠性、可用性、可维修性、安全)


荣誉称号:

国家优秀自费留学生

辽宁省“兴辽英才”博士后储备

大连市高层次人才“青年才俊”


兼职情况

2012-2013,Aker Solutions,挪威,可靠性工程师

2023-2028,中国职业安全健康协会行为安全专业委员会委员


学术服务

担任《Reliability Engineering & System Safety》《Safety Science》《Ocean Engineering》《Risk Analysis》《Ocean & Coastal Management》《Marine Policy》《Journal of Loss Prevention in the Process Industries》《中国安全科学学报》《william威廉英国学报》《上海海事大学学报》《交通信息与安全》等多个国内外期刊审稿人。

研究方向

主要从事自主船舶航行风险防控、极地航行安全保障、风险评估与决策、人机协同风险控制相关研究。

招生信息

招收交通信息工程及控制(082302)学术学位硕士研究生

招收交通安全与环境(0823Z5)学术学位硕士研究生

招收交通运输(086100)专业学位硕士研究生

科研成果

代表性期刊论文

1. Yang, X., Zhou, T., Utne, I.B., Zhang, W., 2025. A framework for quantification of coupling risk in the transition between operational modes of MASS. Reliability Engineering & System Safety, 111436. (JCR 1区,TOP期刊)

2. Yang, X., Lin, Z.Y., Zhang, W.J., Xu, S., Zhang, M.Y., Wu, Z.D., Han, B., 2024. Review of risk assessment for navigational safety and supported decisions in arctic waters. Ocean & Coastal Management 247, 106931. (JCR 1区)

3. Yang, X., Zhou, T., Zhou, X., Zhang W., et al. 2024. A framework to identify failure scenarios in the control mode transition process for autonomous ships with dynamic autonomy. Ocean & Coastal Management 249, 107003. (JCR 1区)

4. Yang, X., Zhu, Y., Zhou, T., Xu, S., Zhang, W., Zhou, X., Meng, X., 2024. Integrating Software FMEA and STPA to Develop a Bayesian Network-Based Software Risk Model for Autonomous Ships. Journal of Marine Science and Engineering 12, 4.(JCR 1区)

5. Yang, X., Zhang, W.J., Lyu, H.G., Zhou, X.Y., Wang, Q.W., Ramezani, R., 2023. Hybrid early-warning framework for unsafe crew acts detection and prediction. Ocean & Coastal Management 231, 106383.(JCR 1区)

6. Yang, X., Zhi, J., Zhang, W., Xu, S., Meng, X., 2023. A Novel Data-Driven Prediction Framework for Ship Navigation Accidents in the Arctic Region. Journal of Marine Science and Engineering 11, 2300.(JCR 1区)

7. Yang, X., Holmen, I.M., Utne, I.B., 2022. Scenario analysis of fish escapes in Norwegian aquaculture for implementation of barrier management and improved learning from accidents. Marine Policy 143, 105208.(JCR 1区)

8. Yang, X., Utne, I.B., Sandøy, S.S., Ramos, M.A., Rokseth, B., 2020. A systems-theoretic approach to hazard identification of marine systems with dynamic autonomy. Ocean Engineering 217, 107930.(JCR 1区)

9. Yang, X., Utne, I.B., Holmen, I.M., 2020. Methodology for hazard identification in aquaculture operations (MHIAO). Safety Science 121, 430-450.(JCR 1区)

10. Yang, X., Ramezani, R., Utne, I.B., Mosleh, A., Lader, P.F., 2020. Operational limits for aquaculture operations from a risk and safety perspective. Reliability Engineering & System Safety 204, 107208.(JCR 1区,TOP期刊)

11. Yang, X., Haugen, S., 2018. Implications from major accident causation theories to activity-related risk analysis. Safety Science 101, 121-134. (JCR 1区)

12. Yang, X., Haugen, S., Paltrinieri, N., 2018. Clarifying the concept of operational risk assessment in the oil and gas industry. Safety Science 108, 259-268.(JCR 1区)

13. Yang, X., Haugen, S., Li, Y., 2017. Risk influence frameworks for activity-related risk analysis during operation: A literature review. Safety Science 96, 102-116.(JCR 1区)

14. Yang, X., Haugen, S., 2016. Risk information for operational decision-making in the offshore oil and gas industry. Safety Science 86, 98-109.(JCR 1区)

15. Yang, X., Haugen, S., 2015. Classification of risk to support decision-making in hazardous processes. Safety Science 80, 115-126.(JCR 1区)

16. 杨雪,智靖凯,章文俊,周翔宇,徐胜,韩冰,贾小飞.北极船舶航行风险评估研究现状与趋势[J].william威廉英国学报,2023,49(2):1-14.

17. 章文俊,牟聪瑞,杨雪*,周翔宇,孟祥坤,李连博,白伟伟.基于自主船舶规范的控制权切换机制研究[J].william威廉英国学报,2023,49(4):1-12.

18. Zhang, W., Luo, Y., Yang, X., Shu, Y., Du, C., Zhang, J., 2025. Fatigue estimation of OOWs based on eye-tracking technology: A hybrid experimental study. Ocean Engineering, 341, 122536.(JCR 1区,TOP期刊)

19. Hu, S., Fang, C., Wu, J., Fan, C., Zhang, X., Yang, X., Han, B., 2025. Enhanced risk assessment framework for complex maritime traffic systems via data driven: A case study of ship navigation in Arctic. Reliability Engineering & System Safety, 260, 110991. (JCR 1区,TOP期刊)

20. Zhu, T., Yang, X., Haugen, S., Liu, Y., 2024. A multi-dimensional approach for analyzing risk-related decision problems to enhance decision making and prevent accidents. Journal of Loss Prevention in the Process Industries, 87, 105235.(JCR 1区)

21. Zhu, X.M., Hu, S.P., Li, Z., Wu, J.J., Yang, X., Fu, S.S., et al., 2024. Risk performance analysis approach for convoy operations via a hybrid model of STPA and DBN: A case from ice-covered waters. Ocean Engineering, 302, 118187.(JCR 1区)

22. Zhang, W., Mu, C., Wang, Y., Yang, X., Zhou, X., Meng, X., Li, L., 2025. Exploring the MASS-DoA2 control-switching mechanism: Results from the autonomous ship guidelines review and expert survey. Journal of Navigation, 1–30.(JCR 2区)

23. Lyu, H., Yue, J., Zhang, W., Cheng, T., Yin, Y., Yang, X., Gao, X., Hao, Z., Li, J., 2023. Fatigue Detection for Ship OOWs Based on Input Data Features, From the Perspective of Comparison With Vehicle Drivers: A Review. IEEE Sensors Journal 23 (14), 15239-15252.(JCR 2区)

专著/译著

刘一骝,杨雪. 风险评估–理论方法与应用(译著),清华大学出版社,2022年

授权发明专利

1. 一种船舶可变位置载荷定位信息的数字化便携采集装置. ZL 202310846915.3(第一发明人)

2. 一种多模型组合的潮汐预报方法. ZL 202310643506.3(第一发明人)

3. 考虑输入死区的无人船自适应动态规划航向跟踪控制方法. ZL 202410170634.5

4. 一种船舶大洋航线优化预报方法. ZL 202411385695.X

5. 一种冰区航行船舶环境响应的快速预报方法. ZL 202411385697.9

6. 具有性能博弈机制的船舶轨迹跟踪事件触发控制方法及系统. ZL 202411416726.3

7. 基于知识驱动的三阶段海上搜救资源调度决策方法和系统. ZL 202411139280.4

8. 一种基于改进麻雀搜索算法的北极航线路径规划方法. ZL 202410989646.0

9. 一种基于POLARIS的北极航道航线规划方法. ZL 202311692502.0

10. 一种模块化海上船舶运动姿态实时预报方法. ZL 202310643493.X

11. 一种基于改进灰狼算法的北极冰区船舶路径规划方法. ZL 202310448494.9

科研项目

1. 国家重点研发计划子课题,自主船舶编队航行RAMSI指标体系研究,2023YFB4302300,2023.12-2026.11,在研,主持;

2. 国家自然科学基金,52201408,面向软件风险的船舶自主航行多方控制权切换风险建模方法研究,2023.01-2025.12,在研,主持;

3. 国家重点研发计划子课题,2021YFC2801005,北极航道航行多源风险数据融合技术研究,2021.12-2021.12,结题,主持;

4. 国家外专项目,G2021193006L,船舶自主航行风险动态预测与决策研究,2021.01-2022.12,结题,主持;

5. 船舶运输控制系统国家工程研究中心开放课题,基于数据驱动的北极船舶航行事故预测方法研究,2021.01-2023.12,结题,主持;

6. 中央高校基本科研业务经费项目,3132022154,北极冰区航行风险评估技术研究,2022.01-2022.12,结题,主持;

7. 中央高校基本科研业务经费项目,3132021128,智能船舶多方控制权切换的风险评估方法研究,2021.01-2021.12,结题,主持;

8. 国家自然科学基金,52571399,弱信息约束下极地船舶航行人智协同风险耦合机理与超前预警,2026.01-2029.12,在研,项目骨干;

9. 国家重点研发计划课题,2021YFC2801005,北极航道通航能力及冰区航行风险评估技术研究,2021.12-2025.12,结题,项目骨干;

10. 国家重点研发计划课题,2019YFB1600602,船员不安全行为与状态的监测预警技术研究,2019.12-2022.11,结题,项目骨干;

11. 辽宁省中央引导地方科技发展专项,基于极地科学数据的通航风险评估技术研究与系统研发,2023.01-2024.01,结题,项目骨干;

12. 挪威自然科学基金,Reducing risk in aquaculture,2016.12-2020.12,结题,项目骨干;

13. 挪威自然科学基金,Modelling Instantaneous Risk for Major Accident prevention,2012.12-2016.12,结题,项目骨干。

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