姓    名：梁茂晗

性    别：男

出生年月：1994年4月

职称/职务：讲师

学位/学历：博士/博士研究生

邮    箱：mhliang@whut.edu.cn

教育经历：

2019年9月-2023年6月，武汉理工大学航运学院  交通信息工程及控制 博士

2021年11月-2023年2月，南洋理工大学大学 海事研究 联合培养博士生

工作经历：

2023年3月-2025年5月，新加坡国立大学 博士后研究员

2025年9月-至今，武汉理工大学航运学院 海事管理系 讲师

研究方向：海事态势感知；智能船舶辅助驾驶；海事大数据挖掘

科研项目：

[1]智能船舶辅助驾驶技术，主持，2025.12-2028-12，博士后海外引才专项（回国工作类）工信部，项目额120万；

[2]多源数据融合驱动的船舶身份感知与安全保障关键技术研发，2025.10-2027.10，主持，企业委托，项目额60万；

[3]基于人工智能（AI）的船舶风险概况估计和分类,新加坡海事研究与发展基金,2023.01-2025.05，参与，新加坡海事研究与发展基金，项目额750万。

发表的主要期刊论文：

    1.Wen Liu, Maohan Liang, et al. STMGCN: Mobile edge computing-empowered vessel trajectory prediction using spatio-temporal multi-graph convolutional network. IEEE Transactions on Industrial Informatics, 2022.(工业信息领域顶级期刊，ESI高被引论文，师生共著，SCI收录，中科院大类一区，Top，IF=11.7)

    2.Wen Liu, Maohan Liang, et al. Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime internet of things. IEEE Transactions on Network Science and Engineering, 2022. (ESI热点论文/高被引论文，师生共著，SCI收录，中科院小类一区，IF=6.7)

    3.Maohan Liang, Wen Liu*, et al. Fine-grained vessel traffic flow prediction with a spatio-temporal multi-graph convolutional network. IEEE Transactions on Intelligent Transportation Systems, 2022. (智能交通领域顶级期刊，SCI收录，中科院大类二区，Top，IF=7.9)

    4.Maohan Liang, Kezhong Liu, et al. Integrating GPU-accelerated into non-Local kernel density estimation for fast large-scale vessel trajectories visualization. IEEE Transactions on Intelligent Transportation Systems,2024. (智能交通领域顶级期刊，SCI收录，中科院大类二区，Top，IF=7.9)

    5.Maohan Liang, Yutong Cai, Tianyi Chen, et al. Data-driven impact analysis of chokepoint on multi-scale maritime networks: A case study of the Taiwan Strait. Transportation Research Part E: Logistics and Transportation Review, 2025. (交通物流领域顶级期刊，SCI收录，中科院大类一区，Top，IF=8.5)

    6.Maohan Liang, Lingxuan Weng, et.al. Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data. Knowledge-Based Systems, 2024. (人工智能领域顶级期刊，SCI收录，中科院大类一区，Top，IF=7.2)

    7.Maohan Liang, Huanhuan Li, et al. PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents. Reliability Engineering and System Safety, 2024. (SCI 收录，中科院大类一区，Top，IF=9.4)

    8.Maohan Liang, Yuanzhe Zhang, et al. A graph attention network-based learning framework for automatic detection of abnormal vessel behaviors. Ocean Engineering, 2025. (SCI 收录，中科院大类二区，Top，IF=4.6)

    9.Maohan Liang, Wen Liu*, et al. An unsupervised learning method with convolutional auto-encoder for vessel trajectory similarity computation. Ocean Engineering, 2021. (SCI 收录，中科院大类二区，Top，IF=4.6，谷歌学术被引次数：104)

    10.Maohan Liang, Jianlong Su, et.al. AISClean: AIS data-driven vessel trajectory reconstruction under uncertain conditions. Ocean Engineering, 2024. (SCI 收录，中科院大类二区，Top，IF=4.6)

    11.Maohan Liang, Jianlong Su, et al. Estimation of vessel link-level travel time distribution: A directed network-driven approach. Ocean Engineering, 2024. (SCI 收录，中科院大类二区，Top，IF=4.6)

    12.Maohan Liang, Yang Zhan, et al. MVFFNet: Multi-view feature fusion network for imbalanced ship classification. Pattern Recognition Letters, 2021. (人工智能领域重要期刊，SCI收录，JCR=Q2，CCF-C，IF=3.9)

    13.Shuailong Jiang, Maohan Liang*, et al. Deep-TCP: Multi-source data fusion for deep learning-powered tropical cyclone intensity prediction to enhance urban sustainability. Information Fusion, 2024. (信息融合领域顶级期刊，通讯作者，SCI收录，中科院大类一区，Top，IF=14.7)

    14.Jin Chen, Maohan Liang*, et al. Improving maritime data: A machine learning-based model for missing vessel trajectories reconstruction. IEEE Transactions on Vehicular Technology, 2025. (智能交通领域顶级期刊，通讯作者，SCI收录，中科院大类二区，Top，IF=6.8)

    15.Jin Chen, Qiang Zhang, Maohan Liang*, et al. Big Data-Driven Vessel Destination Prediction for Smart Port Management. Engineering Applications of Artificial Intelligence, 2024. (通讯作者，SCI收录，中科院大类一区，IF=7.5)

    16.Ruobin Gao, Maohan Liang*, et al. Exploring Underwater Data: State-of-the-Art Denoising Techniques and Future Horizons. IEEE Transactions on Instrumentation and Measurement, 2025. (仪器仪表和测量领域顶级期刊，通讯作者，SCI收录，中科院大类二区，Top，IF=5.6)

    17.Ruobin Gao, Xiaocai Zhang, Maohan Liang*, et al. Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation. Applied Soft Computing, 2024. (通讯作者，SCI收录，中科院大类二区，Top，IF=7.2)

    18.Yuxi Duan, Maohan Liang*, et al. Big Data Fusion-Driven Geospatial Knowledge Graph Construction Method for Sustainable Smart Cities. Sustainable Cities and Society, 2025. (通讯作者，SCI收录，中科院大类一区，Top，IF=10.5)

    19.Yan Li, ..., Maohan Liang*. UPTM-LLM: Large Language Models-Powered Urban Pedestrian Travel Modes Recognition for Intelligent Transportation System. Applied Soft Computing, 2025. (通讯作者，SCI收录，中科院大类二区，Top，IF=7.2)

    20.Qi Liu, Yan Li, Maohan Liang*, et al. A Fine-grained Predictive Optimization Framework for Dynamic Eco-Routing of Electric Vehicles. Computers & Industrial Engineering, 2024. (通讯作者，SCI收录，中科院大类二区，Top，IF=6.5)

    21.Ruobin Gao,... ,Maohan Liang*. A dynamic ensemble deep randomized neural network using deep auto-regressive features for wave height forecasting with missing values. IEEE Journal of Oceanic Engineering,2023. (通讯作者，SCI收录，中科院小类一区，IF=4.1)

    22.Jinlei Zhang, ..., Maohan Liang*. Multi-Frequency Spatial-Temporal Graph Neural Network for Short-Term Metro OD Demand Prediction during Public Health Emergencies. Transportation, 2024. (ESI 高被引论文，交通运输领域重要期刊，通讯作者，SCI收录，中科院大类二区，IF=4.0)

    23.Wen Liu, ..., Maohan Liang*, et al. From ports to routes: Extracting multi-scale shipping networks using massive AIS data. Ocean Engineering, 2024. (通讯作者，SCI收录，中科院小类一区，IF=4.6)

    24.Wen Liu, ... ,Maohan Liang*. AIS-based vessel trajectory compression: A systematic review and software development. IEEE Open Journal of Vehicular Technology, 2024. (智能交通领域重要期刊，通讯作者，ESCI收录，JCR-Q1，IF=5.3)

    25.Miao Gao, Maohan Liang*, et al. Multi-ship encounter situation graph structure learning for ship collision avoidance based on AIS big data with spatio-temporal edge and node attention graph convolutional networks.Ocean Engineering, 2024. (通讯作者，SCI收录，中科院小类一区，Top，IF=4.6)

    26.Wen Liu, ..., Maohan Liang*. Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories. Engineering Applications of Artificial Intelligence, 2023. (人工智能领域重要期刊，通讯作者，SCI收录，中科院小类一区，IF=7.5)

    27.Wen Liu, ..., Maohan Liang*, et al. QSD-LSTM: Vessel trajectory prediction using long short-term memory with quaternion ship domain. Applied Ocean Research, 2023. (通讯作者，SCI收录，中科院小类一区，IF=4.3)

    28.Wen Liu, ..., Maohan Liang*, et al. Ship collision risk analysis: modelling, visualization, and prediction. Ocean Engineering, 2022. (通讯作者，SCI收录，中科院小类一区，Top，IF=4.6)

    29.Yuxu Lu, ..., Maohan Liang*. CNN-enabled visibility enhancement framework for vessel detection under haze environment. Journal of Advanced Transportation, 2021. (通讯作者，SCI收录，IF=2.0)

    30.齐磊,刘钊,梁茂晗*,刘文,李欢欢.数据驱动的船舶异常行为识别方法.中国航海. (通讯作者，中文核心期刊，CSCD)

授权发明专利：

    1.一种海量AIS数据驱动的船舶偏离航道智能预警系统，刘文;梁茂晗;占洋;孟祥昊;陈卓（已授权，授权公布号：CN114550498B）

    2.一种基于AIS历史数据的船舶经验航线提取系统及方法，刘文；梁茂晗；占洋；苏建龙；张居富（已授权，申请号：CN202210036684B）

    3.一种基于AIS数据的船舶碰撞风险分析方法，刘文；孙鹏；徐淑高；刘钊；梁茂晗（已授权，授权公布号：CN110009937B）

    4.一种海量船舶AIS轨迹数据在线压缩方法及装置，刘钊；陈通；孙鹏；刘文；梁茂晗；刘敬贤;（已转化，转化合同额5万元，授权公布号：CN109977523A）

    5.一种基于改进图卷积神经网络的船舶交通流预测方法，刘文;占洋;梁茂晗；焦航;张居富;陈卓;张爽;苏建龙;孟祥昊;任旭杰（已授权，授权公布号：CN202210030818B）

    6.一种船舶异常行为检测方法及装置，刘文;张远哲;梁茂晗（已授权，授权公布号：CN114564545B）

获奖情况：

    1.中国航海学会科学技术奖，2025，“复杂海况下垂直起降固定翼无人机主动感知增强关键技术及应用”项目获中国航海学会科技进步奖二等奖（2/10）；

    2.ICIA会议最佳论文奖，2025，论文题目：Deep learning-Empowered Vessel Destination Prediction Using AIS Data.会议名称：International Conference on Informatics & Application (ICIA)；

    3.武汉理工大学科学技术奖（二等奖），2024，“复杂场景下船舶航行环境感知增强关键技术及应用”项目获得2024年武汉理工大学科技进步奖二等奖（2/10）；

    4.中文核心期刊《交通信息与安全》年度优秀论文（三等奖），2024，论文“多特征点驱动下的船舶轨迹聚类方法”获得《交通信息与安全》2024年度优秀论文（三等奖），入选中国科协2024年度“结构化论文双语传播工程”项目；

    5.武汉理工大学优秀博士毕业论文，2023，《知识与数据联合驱动的多场景船舶轨迹预测方法研究》获得2023年武汉理工大学优秀博士毕业论文奖；

    6.IEEE CPSCom 会议最佳论文奖，2022，论文题目：Collision-free-based deep network for vessel trajectory prediction in maritime transportation CPS.会议名称：IEEE International Conference on Cyber, Physical and Social Computing (CPSCom)。