王鹏，高级工程师，工学博士，主要研究方向：多模态信息融合、知识挖掘和处理，针对多模态海事信息的知识构建方法、异常事件发现算法和智能决策模型等关键技术突破、研制轻量化的态势分析系统，满足了舰载低延时、强实时、无网络和高可靠的场景需求，实现应用落地。志力于从事装备智能系统相关的关键技术研发和产业化。

2024年10月 — 今：中科院计算所，高级工程师

2010年7月 — 2024年10月：中科院计算所，工程师

2020年9月 — 2024年7月：上海海事大学，商船学院，博士研究生

2008年1月 — 2010年7月：中科院研究生院，工程师

2005年7月 — 2008年1月：韩国国立群山大学，计算机学院，硕士研究生

2001年9月 — 2005年7月：太原理工大学，计算机学院，本科生

期刊文章:

[1] Peng Wang, Qinyou Hu, Qiang Mei, Shaohua Wang, Yang Yang, Da Guo, Xiaotong Liu, Wenlong Hu, Jihong Chen, Intelligent port logistics: A spatiotemporal knowledge graph and AI-agent framework for berth allocation[J]. Advanced Engineering Informatics 2025;68:103633.（CCF-B，SCI中科院一区，TOP，IF:9.9）

[2] Peng Wang, Qinyou Hu, Lu Bai*, Tong Xue, Wenlong Hu, Qiang Mei*. A comprehensive assessment of the importance of the “Maritime Silk Road” route based on multi-dimensional data-driven approaches[J], Ocean & Coastal Management 2024 ;256: 107297.（SCI中科院一区，IF:5.4）

[3] Peng Wang, Qinyou Hu, Wenxin Xie, Lin Wu, Fei Wang, Qiang Mei. Big data–driven carbon emission traceability list and characteristics of ships in maritime transportation—a case study of Tianjin Port [J], Environmental Science and Pollution Research, 2023, 30(27)（SCI中科院三区，IF:5.8）

[4] Peng Wang, Qinyou Hu, Yongjun Xu, Qiang Mei, Fei Wang. Evaluation methods of port dominance: A critical review [J], Ocean and Coastal Management, 2021, 215: 105954.（SCI中科院一区，IF:5.4）

[5] Xue Tong, Li Yong, Mei Qiang, Bai Yundi, Yang Yang, Cui Lei, Wang Peng, Zhang Beibei, Wang Shaohua. Port pollution prediction and management via multi-view intelligent computing: A case study of Tianjin Port[J]. Regional Studies in Marine Science. 2026: 104805.（SCI中科院三区，IF:2.4）

[6] Qirui Yuan, Qiang Mei, Peng Wang*,Qiaoling Yan, Shaohua Wang. Global spatio-temporal analysis of maritime piracy risk (2010–2024): Management strategies and implications for ocean governance[J]. Ocean & Coastal Management. 2026, 276: 108165.（SCI中科院一区，IF:5.4）

[7] Li Yong, Bai Yundi, Mei Qiang, Wang Peng, Hu Yu, Yan Qiaoling, Wang Shaohua,. Multimodal fusion via ship trajectory understanding for cognitive maritime intelligence: A case study of the Fujian sea[J]. Ocean Engineering. 2026, 350: 124237. （SCI中科院一区，IF:5.5）

[8] Zhao Bo,Mei Qiang,Huang Zishuo,Wang Peng,Huang Youfang,Hu Qinyou. Quantitative spatiotemporal evolution of port-hinterland connection using truck trajectory data: case analysis[J]. International Journal of Logistics, V28, 2025, pp. 699-719(21).（SCI中科院三区，IF:4.5）

[9] Mei Qiang, Li, Zhaoxuan, Hu Qinyou, Zhi Xiaoying,Wang Peng*, Yang Yang, Liu Xiliang. Spatio-temporal graph neural network fused with maritime knowledge for predicting traffic flows in ports[J]. Regional Studies in Marine Science 2025;85:104106. （SCI中科院三区，IF:2.1）

[10] Lin Siling, Li Yong, Hu Yu, Shi Jia, Wang Shaohua, Wang Peng, Mei Qiang, Li Xiao, Wei Haowen. Research on ship dynamic feature extraction and prediction method based on visual data[J]. Ocean Engineering 2025;327:120938. （SCI中科院一区，IF:5.5）

[11] Qiang Mei, Hu Qinyou, Yu Hu, Yang Yang, Xiliang Liu, Zishuo Huang, Peng Wang*. Structural analysis and vulnerability assessment of the European LNG maritime supply chain network (2018–2020) [J]. Ocean & Coastal Management, 2024, 253:107-126.（SCI中科院一区，IF:4.6）

[12] Li Y, Liu X, Wang Z, Mei Q, Xie W, Yang Y, Wang P*. Construction of a large-scale maritime element semantic schema based on knowledge graph models for unmanned automated decision-making[J]. Frontiers in Marine Science 2024;11:1390931.（SCI中科院一区，IF:2.8）

[13] Zheng Hailin, Hu Qinyou, Yang Chun, Mei Qiang, Wang Peng, Li Kelong. Identification of Spoofing Ships from Automatic Identification System Data via Trajectory Segmentation and Isolation Forest[J]. 2023: 11.（SCI中科院二区，IF:2.9）

[14] Wenxin Xie, Yong Li, Yang Yang, Peng Wang, Zhishan Wang, Zhaoxuan Li, Qiang Mei*, Yaqi Sun. Maritime greenhouse gas emission estimation and forecasting through AIS data analytics: a case study of Tianjin port in the context of sustainable development[J]. Frontiers in Marine Science. 2023, 10.（SCI中科院一区，IF:3.7）

[15] Yong Li, Zhaoxuan Li, Qiang Mei, Peng Wang*, Wenlong Hu, Zhishan Wang, Wenxin Xie,Yang Yang, Yuhaoran Chen. Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks[J]. Journal of Marine Science and Engineering. 2023, 11(7): 1379.（通讯作者，SCI中科院二区，IF:2.9）

[16] Yong Li, Wenxin Xie, Yang Yang, Qiang Mei*, Zhishan Wang, Zhaoxuan Li1, Peng Wang*. Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port [J], Frontiers in Marine Science, 2023. 10:1174411.（通讯作者，SCI中科院一区，IF:3.7）

[17] Yang Yang, Zheping Shao, Yu Hu, Qiang Mei, Jiacai Pan, Rongxin Song, Peng Wang*.Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea area[J]. Ocean Engineering. 2022, 266: 113106.（SCI中科院一区，IF:5.0）

[18] Mei Qiang, Hu Qinyou, Liu Xiliang, Zhao Ruina, Yang Chun, Wang Peng, Qi Yuling,Yang Yang,Yuan Qirui.Research on the Evolution of Global LNG Maritime Transportation Network and Trade Condition of China[J]. Journal of Geo-Information Science.2022.pp:1701-1716

会议文章:

[1] Tong Xue, Yong Li, Qiang Mei, Peng Wang. Study on Pollutants and Greenhouse Gases Emission Inventory Making and Emission Prediction of Tianjin Port[C]. Singapore: Springer Nature Singapore, 2026.

[2] YuanYuan Pang,Yong Li,Qiang Mei, Peng Wang*. Spatio-Temporal Diffusion Attention Networks for Vessel Flow Prediction [C]. Singapore: Springer Nature Singapore, 2025.（EI，ACM Spatial DI 2025最佳论文提名奖）

[3] Li Zhaoxuan, Mei Qiang, Li Yong, Wang Peng, Yang Yang, Hu Wenlong. Prediction and analysis of ship traffic flow based on a space-time graph traffic computing framework[C]. 20th IEEE International Conference on Embedded and Ubiquitous Computing (EUC). 2022.

申请专利：

[1] 王鹏、徐勇军、梅强、郭达、万嘉宸，多模态知识大模型的边缘部署分析方法，受理号CN202610087881.8

[2] 王鹏、梅强、王飞、陈昭、徐勇军，基于语义智能选听的目标行为意图识别方法，受理号CN202511286903.5

[3] 王鹏、徐勇军、王飞、吴琳，一种基于大数据的航线规划系统及方法，受理号CN 202410297830.9

[4] 王鹏、徐勇军、王飞，一种基于知识图谱的泊位竞合关系分析方法，受理号CN 202410577961.2

[5] 王鹏、徐勇军、王飞，一种基于深度卷积神经网络的轨迹分类方法，受理号CN 202410882198.4

[6] 王鹏、徐勇军、王飞、闫巧玲，基于遥感图像深度学习的港口油罐储量评估方法，受理号CN 202411019287.2

[7] 王鹏、徐勇军、王飞，一种基于时空图神经网络学习模型的轨迹预测方法，受理号CN 202411423629.7