牟林-深圳大学地理空间信息研究团队

姓名：牟林

职称：教授

研究方向：摄影测量与遥感;海洋科学

电子邮箱：moulin1977@hotmail.com

个人介绍

特聘教授，博士生导师，国家级科技创新领军人才、广东省珠江人才计划领军人才，国家重点研发计划项目首席科学家，首届海洋系统优秀科技青年。长期致力于海事安全信息保障和应用海洋学领域科研工作，实现了海上搜救与溢油应急方法研究、技术研发、业务运行全链条研发。主持国家重点研发计划、国家科技支撑项目、国家自然科学基金重点项目等国家级项目10余项，发表论文40余篇，出版中英文专著5部，获国家发明专利10余项，获中国专利优秀奖2项，省部级奖励9项。

研究项目

1	海上遇险目标立体搜寻与高清晰观测关键技术（2021YFC3101800），国家重点研发计划项目，202211-202510
2	专2022N003滨海特大城市风暴潮及共生灾害监测预警与风险防范技术研发与应用（KCXFZ20211020164015024），深圳市科技计划可持续发展专项项目，202207-202307
3	基2020N117气候变化背景下的全球与粤港澳大湾区海平面变化机理与上升趋势研究（JCY20200109110220482），深圳市科技创新委员会基础研究重点项目，202207-202507
4	山东近海溢油行为过程数值模拟与环境效应风险评估研究（U2006210），国家自然科学基金山东联合基金重点支持项目，202101-202412
5	基于地波雷达的海洋监测组网关键技术研发及应用示范（2020B1111020005），广东省重点领域研发计划项目，202007-202307

专著

1	Lin Mu, Lizhe Wang, Jining Yan. Information Engineering of Emergency Treatment for Marine Oil Spill Accidents. Boca Raton CRC Press. 2019
2	Lin Mu, Lizhe Wang, Mingwei Wang. Information Engineering for Ports and Marine Environments. New York Chapman and Hall/CRC. 2020

论文

1	Mu L, Zhao E, Wang Y, et al. Buoy sensor cyberattack detection in offshore petroleum cyber-physical systems[J]. IEEE Transactions on Services Computing, 2020, 13(4): 653-662.
2	Mu L, Wang L, Wang Y, et al. Urban land use and land cover change prediction via self-adaptive cellular based deep learning with multisourced data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(12): 5233-5247.
3	Fang S, Mu L, Jia S, et al. Research on sunken & submerged oil detection and its behavior process under the action of breaking waves based on YOLO v4 algorithm[J]. Marine Pollution Bulletin, 2022, 179: 113682.
4	Fang S, Mu L, Jia S, et al. Combining artificial intelligence and laboratory experiments to explore behavior process of sunken and submerged oil: A typical oil drift and diffusion detection technology[J]. Journal of Cleaner Production, 2022, 367: 133026.
5	Fang S, Lin M, Jia S, et al. Deep learning technique for examining the mechanism, transport, and behavior of oil-related hazardous material caused by wave breaking and turbulence[J]. Environmental Research Letters, 2022, 17(10): 104058.
6	Fang S, Mu L, Liu K, et al. Detection of the Sinking State of Liquid Oil in Breaking Waves Based on Synthesized Data: A Behavior Process Study of Sunken and Submerged Oil[J]. Journal of Marine Science and Engineering, 2022, 10(5): 604.
7	Fang S, Mu L. Heat and mass transfer analysis during gas-liquid separation in an evaporator device for desalination[J]. Desalination, 2020, 486: 114430.
8	Fang S, Mu L, Tu W. Application design and assessment of a novel small-decentralized solar distillation device based on energy, exergy, exergoeconomic, and enviroeconomic parameters[J]. Renewable Energy, 2021, 164: 1350-1363.
9	Fang S, Mu L, Tu W. Heat and mass transfer analysis in a solar water recovery device: experimental and theoretical distillate output study[J]. Desalination, 2021, 500: 114881.
10	Wang S, Mu L, Qin H, et al. The utilization of physically based models and GIS techniques for comprehensive risk assessment of storm surge: A case study of Huizhou[J]. Frontiers in Marine Science, 2022, 9: 939380.
11	Li J, Mu L, Zhong L. Frequent central Pacific La Niña events may accelerate Arctic warming since the 1980s[J]. Acta Oceanologica Sinica, 2021, 40: 62-69.
12	Wang S, Mu L, Liu D. A hybrid approach for El Niño prediction based on Empirical Mode Decomposition and convolutional LSTM Encoder-Decoder[J]. Computers & Geosciences, 2021, 149: 104695.