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王玥玮，男，中共党员，特聘副教授，工学博士，硕士生导师，国际数字地球学会中国国家委员会数字减灾专业委员会委员。 2023年9月加入计算机学院数据科学与大数据系。主要从事数字地球理论、自然灾害智慧应急等领域的科学研究，运用数值模拟、智能优化、高性能计算等技术，实现高效的数字化灾害应急管控。
在国内外期刊和会议累计发表论文33篇，其中第一或通讯作者发表论文21篇，包括IEEE Transactions on Industrial Informatics，IEEE Internet of Things Journal，IEEE Transactions on Services Computing，Engineering Geology等中科院一区期刊及APWeb、HPCC等中国计算机学会推荐会议。
主持主持国家自然科学青年基金、自然资源部开放基金等项目4项，参与国家自然科学基金联合重点项目研究、中科院A类战略先导专项项目研究等多项项目研究。获湖北省科学技术进步奖一等奖1项、海洋工程科学技术奖特等奖1项、地理信息科技进步一等奖1项。
科研项目
[1] 国家自然科学基金青年科学基金项目，2026.1-2028.12，主持
[2] 自然资源部地质灾害智能监测与风险预警工程技术创新中心开放基金，2024.12-2025.12，主持
[3] 基于人工智能的三维有限元快速分析软件开发，横项，2024.12-2026.6.，主持
[4] 地质灾害风险预警系统项目, 横项，2024.7-2024.11，主持
[5] 国家重点研发计划，2025.7-2027.2，参与
学术兼职
[1] 国际数字地球学会中国国家委员会数字减灾专业委员会委员
[2] 客座编辑, Remote Sensing, Special Issue "Advances in Data Processing and Geoscience Applications of the Geology-1 Hyperspectral Satellite"(https://www.mdpi.com/journal/remotesensing/special_issues/01YZA2IA8U). 【欢迎投稿！】
[3] 客座编辑, Remote Sensing, Special Issue "Intelligent Interpretation of Remote Sensing Imagery: AI-Enhanced Monitoring of Geographical and Geological Environments"[https://susy.mdpi.com/academic-si/YzJqNEFKeFNNNjRBcUtNd0lzcndQdz09]. 【欢迎投稿！】
[4] 客座编辑, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Special Issue "Geology-1 Hyperspectral Satellite: Innovative Methods and Applications"[https://www.grss-ieee.org/wp-content/uploads/2025/11/JSTARS_CFP_SI_Geology-1-Hyperspectral-Satellite-Innovative-Methods-and-Applications-1.pdf]. 【欢迎投稿！】
[5] Co-chair, 27th IEEE International Congress on High Performance Computing and Communications (HPCC) workshop, 1st International Workshop on Multi-modal Spatio-temporal Big Data for Natural Disaster Monitoring, Assessment and Decision-Making (MSBD-NDMAD 2025)
获奖
[1] 2025 UK National Edge AI Hub Awards for Excellence and Impact, Future Star Award[https://edgeaihub.co.uk/2025-uk-national-edge-ai-hub-awards-for-excellence-and-impact/].
[2] 王玥玮(10/15)，自然灾害空间信息智慧应急关键技术、装备及应用, 湖北省科学技术奖励工作办公室，科技进步，省部一等奖，2023
[3] 王玥玮(17/20)，海上搜救与溢油应急信息保障关键技术及应用，中国海洋工程咨询协会，科技进步，协会特等奖，2023
[4] 王玥玮(19/20)，复杂地质环境智能探测与评估关键技术、装备及应用，中国地理信息产业协会，科技进步，协会一等奖，2024
[5] 第一届CNISDE数字减灾专委会学术年会，优秀报告人
[6] 第二十届CCF中国信息系统及应用大会(WISA 2023)，优秀论文
学术论文
代表性工作：
Yuewei Wang, Xiaodao Chen, and Lizhe Wang, Deep Reinforcement Learning-Based Rescue Resource Distribution Scheduling of Storm Surge Inundation Emergency Logistics, IEEE Transactions on Industrial Informatics, vol. 19(10), pp. 10004-10013, 2023.（T1）
Yuewei Wang, Xiaodao Chen, Lizhe Wang, and Geyong Min, Effective IoT-Facilitated Storm Surge Flood Modeling Based on Deep Reinforcement Learning, IEEE Internet of Things Journal, vol. 7(7), pp. 6338-6347, 2020.（T1）
Lin Mu, Enjin Zhao, Yuewei Wang*, and Albert Y. Zomaya, Buoy Sensor Cyberattack Detection in Offshore Petroleum Cyber-Physical Systems, IEEE Transactions on Services Computing, vol. 13(4), pp. 653-662, 2020.（唯一通讯，T1）
Shaoqian Chen, Kangfei Yao, Yuewei Wang*, Xiaohui Huang, Yunliang Chen, Ao Yang, Jianxin Li, and Geyong Min, Multi-Scene Auxiliary Network-Based Road Crack Detection under the Framework of Distributed Edge Intelligence, IEEE Internet of Things Journal, vol. 12(5), pp. 4613-4628, 2025.（唯一通讯，T1）
Yuewei Wang, Lizhe Wang, Wei Han, and Jining Yan, Digital twin of earth: A novel information framework for managing a sustainable earth, The Innovation Geoscience, vol. 2(4), p. 100092, 2024.
其他工作：
Yuewei Wang, and Lizhe Wang, Impact Assessment of Storm Surge Inundation in Shenzhen, Big Earth Data in Support of the Sustainable Development Goals (2020): China, Science Press, 2020, pp. 62–64.（中科院可持续发展报告）
Cong Wang, Mingqiang Li, Yuewei Wang*, Xiaopan Zhang, Xiaohui Huang, Binhao Li, Jianxin Li, Yunliang Chen, A Hierarchical Reinforcement Learning Method Based on Decision Frequency and Internal Reward Mechanism, Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, pp. 130-145, 2026. （唯一通讯，CCF-C）
Haoran Xu, Hongxin Jiang, Xiaodao Chen, Xiaohui Huang, Yuewei Wang*, UAVRS-CompNet: An End-to-End Compression Network for UAV Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 7880-7894, 2026.（唯一通讯，T2）
Changle Li, Yuewei Wang*, Feifei Zhang, Hongwei Zhang, Edge-Aware Superpixel Dual-Graph GCN for Topographically Heterogeneous Landslide Susceptibility Assessment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 5634-5648, 2026.（唯一通讯，T2）
Feifei Zhang, Changle Li, Yuewei Wang*, Yiyue Wang, Statistical knowledge-guided multi-classification machine learning modeling scheme for landslide susceptibility levels, Engineering Geology, vol. 360, p. 108458, 2026.（唯一通讯，T1）
Yuewei Wang, Xiaodao Chen, and Lizhe Wang, Cyber-physical oil spill monitoring and detection for offshore petroleum risk management service, Scientific Reports, vol. 13, p.4586, 2023.（T2）
Yuewei Wang, Lizhe Wang, Xiaodao Chen, and Dong Liang, Offshore Petroleum Leaking Source Detection Method from Remote Sensing Data Via Deep Reinforcement Learning With Knowledge Transfer, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5826-5840, 2022.（T2）
Lin Mu, Lizhe Wang, Yuewei Wang*, Xiaodao Chen, and Wei Han, Urban Land Use and Land Cover Change Prediction via Self-Adaptive Cellular Based Deep Learning With Multisourced Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12(12), pp. 5233-5247, 2019.（T2）
Xiaodao Chen, Junqing Fan, Qing He*, Yuewei Wang*, Dongbo Liu, and Shiyan Hu, Economical and balanced production in smart Petroleum Cyber-Physical System, Future Generation Computer Systems, vol. 95, pp. 364-371, 2019.（共同通讯，T2）
Xiaodao Chen, Gongze Zheng, and Yuewei Wang*, Extremal-Aware Deep Numerical Reinforcement Learning Fusion for Marine Tidal Prediction, Journal of Marine Science and Engineering, vol. 13(9), p. 1771, 2025.（唯一通讯，T2）
Jiayu Ding, Yuewei Wang*, and Chaoyue Li, A Dual-Layer Complex Network-Based Quantitative Flood Vulnerability Assessment Method of Transportation Systems, Lands, vol. 13(6), p. 753, 2024.（唯一通讯，T1）
Wei Han, Xiaohan Zhang, Yi Wang, Lizhe Wang, Xiaohui Huang, Jun Li, Sheng Wang, Weitao Chen, Xianju Li, Ruyi Feng, Runyu Fan, Xinyu Zhang, and Yuewei Wang, A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 202, pp. 87-113, 2023.（T1）
Xiaodao Chen, Dongmei Zhang, Yuewei Wang, Lizhe Wang, Albert Zomaya, and Shiyan Hu, Offshore Oil Spill Monitoring and Detection: Improving Risk Management for Offshore Petroleum Cyber-Physical Systems: (Invited paper), 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Irvine, CA, USA, pp. 841-846, 2017.（CCF-B）
Wei Han, Lizhe Wang, and Yuewei Wang, A novel framework for leveraging geological environment big data to assess Sustainable Development Goals, The Innovation Geo- science, vol. 3(2), p. 100122, 2025.
Yuewei Wang, Xiaodao Chen, and Lizhe Wang, Differential Semi-Quantitative Urban Risk Assessment of Storm Surge Inundation, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 10, pp. 177-185, 2022.
Yunliang Chen, Yuqi Li, Xiaohui Huang, Yuewei Wang*, Guishui Zhu, Geyong Min, and Jianxin Li, An Explainable Recommendation Method for Artificial Intelligence of Things Based on Reinforcement Learning With Knowledge Graph Inference, IEEE Transactions on Consumer Electronics, vol. 71(1), pp. 1980-1991, 2024.（唯一通讯，T3）
Xinya Lei, Yuewei Wang, Wei Han, and Weijing Song, Knowledge Graph Representation of Multi-Source Urban Storm Surge Hazard Information Based on Spatio-Temporal Coding and the Hazard Events Ontology Model, ISPRS International Journal of GeoInformation, vol. 13(3), p. 88, 2024.
Yunliang Chen, Guoquan Huang, Yuewei Wang, Xiaohui Huang, and Geyong Min, A graph neural network incorporating spatio-temporal information for location recommendation, World Wide Web, vol. 26, pp. 3633-3654, 2023.（CCF-B）
Yiyue Wang, Runyu Fan, Jining Yan, Min Jin, Xinya Lei, Yuewei Wang, and Weijing Song, An analysis of urban land subsidence susceptibility based on complex network, Natural Hazards, vol. 121, pp. 815-837, 2025.
Jiabao Li, Wei Ding, Wei Han, Xiaohui Huang, Ao Long, and Yuewei Wang, Remote Sensing Thematic Product Generation for Sustainable Development of the Geological Environment, Remote Sensing, vol. 16(14), p. 2529, 2024.（T2）
Haoran Xu, Yixin Yang, Jiabao Li, Xiaohui Huang, Wei Han, and Yuewei Wang, A Unmanned Aerial Vehicle System for Urban Management, IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, pp. 4617-4620, 2024.
Yuewei Wang, Qirui Gui, Meng Wang, Lizhe Wang, Albert Y Zomaya, AWEDF: an architecture-aware execution and debugging workflow for a highly reliable chip, 2017 IEEE 19th International Conference on High Performance Computing and Communications Workshops (HPCCWS), Bangkok, Thailand, pp. 50-57, 2017.（CCF-C）
Yunliang Chen, Xuanyu Lu, Yuewei Wang*, Yuxin Ye, Xiaohui Huang, Jianxin Li, and Shengrui Zhan, GEHIM: A Graph Embedding-based Heterogeneous Influence Maximization Algorithm, Journal of Circuits, Systems and Computers, vol. 34(17), p. 6542, 2025.（唯一通讯）
Ao Long, Yuewei Wang, Xiaohui Huang, Wei Han, Runyu Fan, Yunliang Chen, and Jianxin Li, An Efficient Device Placement Method for Distributed Training of Multibranch Neural Network-Based Remote Sensing Interpretation, International Conference on Web Information Systems Engineering, WISE 2024, Doha, Qatar, vol. 15438, pp. 278-288, 2024.
Pei Wang, Teng Chen, and Yuewei Wang*, Temporal and Semantic Fusion for Multi-Label Crime Classification via a TCN-BERT-Coupled Approach, Journal of Circuits, Systems and Computers, vol. 33(08), p. 2450150, 2024.（唯一通讯）
Jiabao Li, Wei Han, Xiaohui Huang, Yuewei Wang, Ao Long, Rongrong Duan, Xiaohua Tian, and Yuqin Li, Design of Data Management System for Sustainable Development of Urban Agglomerations’ Ecological Environment Based on Data Lake Architecture, Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, Wuhan, China, pp. 16-27, 2023. （CCF-B）
