头像
茅润泽 讲师

海洋学院

通讯地址:梦溪校区海洋学院D408

个人邮箱:mao.rz1993@just.edu.cn

邮政编码:212003

办公地点:梦溪校区海洋学院D408

传真:

  • 个人简介

  • 研究方向

  • 科研团队

  • 科研项目

  • 获奖动态

  • 教学随笔

  • 教育经历

  • 课程教学

  • 论文著作

  • 科研论文

  • 科研横向项目

  • 科研纵向项目

  • 科研专利

  • 科研动物专利

  • 水声工程、海洋技术与工程电子信息专业研究生导师。出生于1993年,主要研究方向为海洋结构物与电化学装置的健康管理和海洋自动化已在IEEE TIIT-ITSTTETHMS等高影响力期刊/会议发表论文40余篇,其中SCI论文31篇,一作/通讯22篇,H-index 12,代表性论文总引用610能够熟练使用中文,英语,日语,挪威语和韩语


    主持国家级项目1项,入选江苏省级人才1项,入选镇江市人才1项,入选2025年江苏省科技副总,江苏科技大学海外人才引进启动项目1项,曾参与挪威与日本国家级项目课题若干。


    期刊

    2026

    [1]Weiqian Xu, Runze Mao*, Peihua Han*, Ning Yuan, Yuanjiang Li, Yuting Guo, and Houxiang Zhang. Graph Neural Network Modeling of Lithium-Ion Battery Capacity with Physics-Guided Features. Journal of Energy Storage, 2026, Accepted. 

    [2] Xinyan Wang, Runze Mao*, Peihua Han, Ning Yuan, Yuanjiang Li, Yuting Guo, Shen, Yin, and Houxiang Zhang*. A Systematic Review of Fault Diagnosis Methods for Offshore Wind Turbines: Approaches, Features, and Emerging Directions. Ocean Engineering, 2026, 353, 124775. 

    [3] Jinyan Xu, Runze Mao*, Mingda Zhu*, Guoyuan Li and Houxiang Zhang. A Systematic Review of Smart Ports in Global Maritime Trade: Multi-dimensional Evaluation Framework and Development Trend Analysis.Journal of Marine Engineering & Technology, 2026, Early Accessed. 

    [4] Runze Mao*, Peihua Han, Weiqian Xu, Ning Yuan, and Houxiang Zhang. Lithium-Ion Battery Remaining Useful Life Prediction Using Bayesian Filters with Neural Network Pseudo Observations. Journal of Energy Storage, 2026, 146, 120179. 

    [5] Tongtong Wang, Runze Mao, Guoyuan Li, Jin-Hua She, Houxiang Zhang*. Physics and Data Cooperative Modeling in Transportation Cyber-Physical System: Review and Perspectives. IEEE Transactions on Industrial Informatics, 2026, Early Accessed.

    2025

    [1] Weiqian Xu, Runze Mao*, Peihua Han, Ning Yuan, Yuanjiang Li, Yuting Guo, Houxiang Zhang. A Comprehensive Review of Lithium-Ion Battery Remaining Useful Life Prediction: Methodologies, Datasets, Performance Metrics, and Future Perspectives. Measurement Science and Technology, 2025, 36(8), 082001. 

    [2] Ning Yuan, Runze Mao*, Peihua Han*, Weiqian Xu, Yuanjiang Li, Yuting Guo, Houxiang Zhang. A Dual-Exponential EKF Model for Lithium-Ion Battery RUL Prediction with Bayesian Optimization. Measurement Science and Technology, 2025, 36(9), 096204. 

    [3] Runze Mao*, Yuanjiang Li, Guoyuan Li, Hans Petter Hildre, Houxiang Zhang. A Systematic Survey of Digital Twin Applications: Transferring Knowledge from Automotive and Aviation to Maritime Industry. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(4), 4240–4259. 


     


  • 海洋结构物与电化学装置的故障预测和健康管理


    1)新能源船舶中的数字孪生;

    2)海洋海事领域中的人因工程学;

    3)固体氧化物燃料电池和锂电池等电化学装置的热管理;

    4)固体氧化物燃料电池和锂电池等电化学装置的使用寿命预估;


    1) Digital Twins in new energy ships;

    2) Human factors engineering in the marine maritime industry;

    3) Thermal management of electrochemical devices such as solid oxide fuel cells and lithium batteries;

    4) Lifetime prediction of electrochemical devices such as solid oxide fuel cells and lithium batteries;



  • 2011.09-2015.06        江苏科技大学船舶与海洋学院学士


    2016.08-2019.03  挪威科技大学船舶与海洋学科硕士


    2019.04-2022.09        京都大学机械理工学博士

      

    2022.11-至今    江苏科技大学海洋学院 讲师



    2011.09-2015.06 BEng, School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology (JUST)


    2016.08-2019.03 M.Sc., Ship design, Norwegian University of Science and Technology (NTNU)


    2019.04-2022.09 Ph.D. in Mechanical Science and Engineering, Kyoto University


    2022.11-Lecturer, Ocean college, Jiangsu University of Science and Technology




  • 《生产实习》、

    《工程伦理》、

    《专业写作与表达》、

    《机器学习基础》

    《机器学习实践》