海洋学院

海洋学院讲师，电子信息专硕研究生导师。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 TII、T-ITS、TTE、THMS等高影响力期刊/会议发表论文30余篇，其中一作/通讯17篇，H-index 11，代表性论文总引用500。能够熟练使用中文，英语，日语，挪威语和韩语。

现主持国家级项目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.

[6] Runze Mao*, Kai Liu, Jingfeng Liu, Zijin Ling, Yuanjiang Li, Guoyuan Li, Houxiang Zhang. Towards Sustainable Shipping: A Review of LNG, Battery, and Fuel Cell-Powered Ships. IEEE Transactions on Transportation Electrification, 2026, 12(1), 1461–1472.

[7] Wen Chen, Runze Mao, Bing Gong, Ming Fang, Zhengyu Yang, Yuanjiang Li*. A Fault Diagnosis Method for Railway Point Machines Based on Imbalanced Data Under Natural Noise Environment. Measurement, 2026, 257, 118543.

2025

[8] Mancheng Zhang, Runze Mao, Ming Fang, Yuanjiang Li*. Traffic Prediction Based on Multi-Scale Adaptive Interpretable Dynamic Spatiotemporal Graph Convolutional Network. Measurement Science and Technology, 2025, 36(10), 105105.

[9] Weiguo Yue, Runze Mao, Ming Fang, Yuanjiang Li*. A Joint Discriminative Domain Adaptation Fault Diagnosis Method for Addressing Extreme Small-Sample and Imbalance Issues in Marine Centrifugal Pump Bearings. Engineering Research Express, 2025, 7(4), 045401.

[10] 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.

[11] 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.

[12] 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.

[13] Runze Mao*, Weiqian Xu, Yutong Qian, Xiaorong Li, Yuanjiang Li, Guoyuan Li, Houxiang Zhang. Understanding the Determinants of Electric Vehicle Range: A Multi-Dimensional Survey. Sustainability, 2025, 17(10), Article 4259.

[14] Yuanjiang Li, Zhenyu Yang, Shuo Zhang, Runze Mao*, Linchang Ye, Yun Liu. TCN-MBMAResNet: A Novel Fault Diagnosis Method for Small Marine Rolling Bearings Based on Time Convolutional Neural Network in Tandem with Multi-Branch Residual Network. Measurement Science and Technology, 2025, 36(2), 026212.

[15] Zhenyu Yang, Runze Mao*, Linchang Ye, Yun Liu, Xiaoxi Hu, Yuanjiang Li*. VSC-ACGAN: Bearing Fault Diagnosis Model Applied to Imbalanced Samples. Measurement Science and Technology, 2025, 36(3), 036212.

[16] Yanzhao Wang, Chunyan Ji, Sheng Xu, Runze Mao. Theoretical Study on the Wave Attenuation Performance of Floating Breakwater with a Rectangular Cross-Section. China Ocean Engineering, 2025, pp. 1–12.

[17] Yuanjiang Li, Lei Li, Runze Mao, Yi Zhang, Song Xu, Jinglin Zhang*. Hybrid Data-Driven Approach for Predicting the Remaining Useful Life of Lithium-Ion Batteries. IEEE Transactions on Transportation Electrification, 2024, 10(2), 2789–2805.

[18] Yuanjiang Li, Ruiqi Wang, Runze Mao, Yi Zhang, Kai Zhu, Yuanjun Li, Jinglin Zhang. A Fault Diagnosis Method Based on an Improved Deep Q-Network for the Inter-Turn Short Circuits of a Permanent Magnet Synchronous Motor. IEEE Transactions on Transportation Electrification, 2024, 10(2), 3870–3887.

[19] Yuanjiang Li, Ying Zhu, Yang Yu, Runze Mao, Linchang Ye, Yun Liu, Ruochen Liu, Tao Lang, Jinglin Zhang*. DACA: A Domain Adaptive Fault Diagnosis Approach with Class-Aware Based on Cross-Domain Extreme Imbalance Data. Expert Systems with Applications, 2024, 256, 124944.

[20] Lei Li, Yuanjiang Li*, Runze Mao, Yueling Li, Weizhi Lu, Jinglin Zhang. TPANet: A Novel Triple Parallel Attention Network Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries. Energy, 2024, 309, 132890.

[21] Lei Li, Yuanjiang Li*, Runze Mao, Li Li, Wenbo Hua, Jinglin Zhang. Remaining Useful Life Prediction for Lithium-Ion Batteries with a Hybrid Model Based on TCN-GRU-DNN and Dual Attention Mechanism. IEEE Transactions on Transportation Electrification, 2023, 9(3), 4726–4740.

[22] Runze Mao*, Masashi Kishimoto, Shinichi Sugihara, Kennsei Kakuda, Hiroshi Iwai. Grid-Shape Electrical Circuit Assembled with Resistance Temperature Detectors for Multipoint Temperature Measurement of Solid Oxide Fuel Cells. Journal of Power Sources, 2022, 530, 231293.

[23] Runze Mao*, Masashi Kishimoto, Hiroshi Iwai. Multipoint Temperature Measurement Using Serially Connected Resistor-Capacitor Parallel Circuits by Impedance Spectroscopy. Sensors and Actuators A: Physical, 2021, 331, 113051.

[24] Runze Mao, Guoyuan Li*, Hans Petter Hildre, Houxiang Zhang. A Survey of Eye Tracking in Automobile and Aviation Studies: Implications for Eye-Tracking Studies in Marine Operations. IEEE Transactions on Human-Machine Systems, 2021, 51(2), 87–98.

[25] Guoyuan Li*, Runze Mao, Hans Petter Hildre, Houxiang Zhang. Visual Attention Assessment for Expert-in-the-Loop Training in a Maritime Operation Simulator. IEEE Transactions on Industrial Informatics, 2020, 16(1), 522–531.

[26] Runze Mao, Guoyuan Li*, Hans Petter Hildre, Houxiang Zhang. Analysis and Evaluation of Eye Behavior for Marine Operation Training—A Pilot Study. Journal of Eye Movement Research, 2019, 12(3).

论著

[1] Zhang Houxiang, Mao Runze, Major Pierre, Li Guoyuan, and Hans Petter Hildre. (2024). Digital Twins in the Maritime Industry. In: Digital Twins for Vessel Life Cycle Service. Springer, Singapore. https://doi.org/10.1007/978-981-97-4768-9_2.

会议

[1] Yuan Ning, Runze Mao*, Peihua Han, Wenqian Xu, Yuanjiang Li, and Houxiang Zhang. A Dual-Exponential EKF Framework with Bayesian Optimization for Lithium-Ion Battery Remaining Useful Life Prediction. In Proceedings of the IEEE International Conference on Industrial Informatics (INDIN), Accepted, 2025.

[2] Yutong Qian, Runze Mao*, Yuanjiang Li, Guoyuan Li, and Houxiang Zhang. The Application of Eye-Tracking Technology in the Maritime Industry: A Brief Review. In Proceedings of the 2025 IEEE International Conference on Real-time Computing and Robotics (RCAR), Accepted, 2025.

[3] Runze Mao*, Yuanjiang Li, Kai Liu, Jingfeng Liu, Xu Cheng, and Houxiang Zhang. A Comprehensive Analysis of LNG-Powered and Battery-Powered Ships in Current Maritime Operations. In Proceedings of the 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR), pp. 74–79, IEEE, 2024.

[4] Runze Mao*, Yuanjiang Li, and Houxiang Zhang. Digital Twin-Based Research in the Maritime Industry: A Brief Survey. In Proceedings of IECON 2023 – The 49th Annual Conference of the IEEE Industrial Electronics Society, pp. 1–6, IEEE, 2023.

[5] Runze Mao*, Yuanjiang Li, and Houxiang Zhang. Simulation Method in Automotive, Aviation and Maritime Industries for Digital Twin: A Brief Survey. In Proceedings of the 2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA), pp. 1442–1447, IEEE, 2023.

[6] Runze Mao*, Masashi Kishimoto, and Hiroshi Iwai. Multipoint Temperature Measurement Using a Grid-Shape Electrical Circuit Assembled with Resistance Temperature Detectors. Oral Presentation at the 58th National Heat Transfer Symposium of Japan, May 2021.

[7] Runze Mao*, Masashi Kishimoto, and Hiroshi Iwai. Artificial Neural Network Aided Multipoint Temperature Measurement Using a Grid-Shape Electric Circuit of Resistance Temperature Detectors. Oral Presentation at the 8th International Symposium on Advances in Computational Heat and Transfer (CHT-21), August 2021.

[8] Runze Mao*, Masashi Kishimoto, and Hiroshi Iwai. Artificial Neural Network Aided Multipoint Temperature Measurement Using a Grid-Shape Electric Circuit of Resistance Temperature Detectors. Oral Presentation at the 2nd Asian Conference on Thermal Sciences (ACTS), October 2021.

[9] Zhen Liu, Xiaojian Ma, Runze Mao, Xiang Ji, Saihua Tao, Chen Zhao. The Hydrodynamic Characteristics Research of Freak Waves Interaction with JIP Spar – Analysis of Wave Run-Up. In Proceedings of the ISOPE International Ocean and Polar Engineering Conference, Paper ISOPE-I-15-123, 2015.

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;