遥感大数据处理，云计算，智能大数据计算，高性能地学计算

硕士研究生

081002-信号与信息处理

遥感大数据处理，云计算，智能大数据计算，高性能地学计算

2007-09--2013-05   中国科学院大学   工学博士
2004-09--2007-05   中国科学院大学   工学硕士
2000-09--2001-07   北京化工大学   学士

博士研究生

工学博士

2018-08~现在, 中国科学院空天信息研究院, 副研究员
2016-12~2018-08,美国北卡罗莱那州立大学NCSU, 访问学者
2013-08~2018-08,中国科学院遥感与数字地球科学中心, 副研究员/助理研究员
2008-08~2013-07,中国科学院对地观测与数字地球科学中心, 助理研究员
2007-08~2008-09,中科院中国遥感卫星地面站, 研究实习员

数字图像处理与分析

   

（1） 中国产学研合作创新与促进奖, 二等奖, 国家级, 2022
（2） 2021年获第二十三届中国专利优秀奖, , 国家级, 2021
（3） 获第六届计算地球科学青年人才奖（“清华大学—浪潮集团”）, , 研究所（学校）, 2017
（4） 中国科学院青年创新促进会, , 院级, 2015

[1] 马艳, 宋婕. 基于分布式内存的跨云多源数据立方体发现与集成方法. CN115827907, 2023-03-21.
[2] 王力哲, 马艳, 阎继宁, 焦阳. 一种分布式卫星数据中心多源遥感数据处理方法. CN: CN109189723A, 2019-01-11.
[3] 王力哲, 张万峰, 马艳, 张杰. 基于近数据计算原则的多卫星数据中心工作流调度算法. CN: CN104484230A, 2015-04-01.
[4] 赵灵军, 刘定生, 李景山, 马艳, 汤灿恩. 遥感影像处理系统中处理功能可快速扩展的构建方法. CN: CN101814029B, 2013-11-27.
[5] 陈腊娇, 王力哲, 马艳, 刘军志. 一种全分布式流域生态水文模型的快速并行化方法. CN: CN103164190A, 2013-06-19.
[6] 马艳, 王力哲, 刘定生, 刘鹏, 刘志文. 一种基于任务树的大尺度遥感影像并行镶嵌方法. CN: CN103150148A, 2013-06-12.
[7] 马艳, 王力哲, 刘定生, 刘鹏. 面向数据密集型遥感图像处理的泛型编程的框架编程方法. CN: CN103019671A, 2013-04-03.
[8] 刘定生, 李国庆, 章文毅, 李景山, 赵灵军, 马艳, 王建, 陈甫, 黄克颖, 杨进, 黄鹏, 黄方, 马广彬, 于文洋, 张万军. 多卫星遥感数据一体化并行地面预处理系统. CN: CN101315424B, 2011-06-08.
[9] 马艳, 刘定生, 李景山, 赵灵军, 刘鹏, 王妍颖. 面向遥感图像处理算法的快速并行化编程模板方法. 中国: CN101799762A, 2010-08-11.

   

[1] Jie Song, Yan Ma, Zhixin Zhang, Peng Liu. An In-Memory Data-Cube Aware Distributed Data Discovery Across Clouds for Remote Sensing Big Data. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2023, 16: https://doaj.org/article/464bbd6796f24980b3f504ea4690616d.
[2] Ma, Yan, Song, Jie, Zhang, Zhixin. In-Memory Distributed Mosaicking for Large-Scale Remote Sensing Applications with Geo-Gridded Data Staging on Alluxio. REMOTE SENSING[J]. 2022, 14(23): [3] Ma, Yan, Ma, Caihong, Liu, Peng, Yang, Jin, Wang, Yuzhu, Zhu, Yueqin, Du, Xiaoping. Spatial-Temporal Distribution Analysis of Industrial Heat Sources in the US with Geocoded, Tree-Based, Large-Scale Clustering. REMOTE SENSING[J]. 2020, 12(18): https://doaj.org/article/418ec69a815e42fbb4b4675c67e40bc2.
[4] Huang, Fang, Tie, Bo, Tao, Jian, Tan, Xicheng, Ma, Yan. Methodology and optimization for implementing cluster-based parallel geospatial algorithms with a case study. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS[J]. 2020, 23(2): 673-704, https://www.webofscience.com/wos/woscc/full-record/WOS:000549737600017.
[5] Xu, Dong, Ma, Yan, Yan, Jining, Liu, Peng, Chen, Lajiao. Spatial-feature data cube for spatiotemporal remote sensing data processing and analysis. COMPUTING[J]. 2020, 102(6): 1447-1461, https://www.webofscience.com/wos/woscc/full-record/WOS:000541923900009.
[6] Wang, Yuzhu, Hao, Huiqun, Zhang, Junqiang, Jiang, Jinrong, He, Juanxiong, Ma, Yan. Performance optimization and evaluation for parallel processing of big data in earth system models. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS[J]. 2019, 22: 2371-2381, [7] Ma, Caihong, Niu, Zheng, Ma, Yan, Chen, Fu, Yang, Jin, Liu, Jianbo. Assessing the Distribution of Heavy Industrial Heat Sources in India between 2012 and 2018. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2019, 8(12): https://www.webofscience.com/wos/woscc/full-record/WOS:000518041800047.
[8] Yue, Shasha, Ma, Yan, Chen, Lajiao, Wang, Yuzhu, Song, Weijing. Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model. JOURNAL OF SUPERCOMPUTING[J]. 2019, 75(2): 510-532, https://www.webofscience.com/wos/woscc/full-record/WOS:000460063500003.
[9] Caihong Ma, Jin Yang, Fu Chen, Yan Ma, Jianbo Liu, Xinpeng Li, Jianbo Duan, Rui Guo. Assessing Heavy Industrial Heat Source Distribution in China Using Real-Time VIIRS Active Fire/Hotspot Data. SUSTAINABILITY[J]. 2018, 10(12): https://doaj.org/article/b3ddeeb6e55249b883c16717882bed60.
[10] Zhang, Junqiang, Wu, Chonglong, Wang, Yuzhu, Ma, Yan, Wu, Yong, Mao, Xiaoping. The BIM-enabled geotechnical information management of a construction project. COMPUTING[J]. 2018, 100(1): 47-63, https://www.webofscience.com/wos/woscc/full-record/WOS:000425730400004.
[11] Yan, Jining, Ma, Yan, Wang, Lizhe, Choo, KimKwang Raymond, Jie, Wei. A cloud-based remote sensing data production system. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE[J]. 2018, 86: 1154-1166, http://dx.doi.org/10.1016/j.future.2017.02.044.
[12] Lizhe Wang, Yan Ma, Jining Yan, Victor Chang, Albert Y. Zomaya. pipsCloud: High performance cloud computing for remote sensing big data management and processing. FUTURE GENERATION COMPUTER SYSTEMS[J]. 2018, 353-368, http://dx.doi.org/10.1016/j.future.2016.06.009.
[13] Junqing Fan, Jining Yan, Yan Ma, Lizhe Wang. Big Data Integration in Remote Sensing across a Distributed Metadata-Based Spatial Infrastructure. REMOTE SENSING[J]. 2017, 10(1): https://doaj.org/article/fe5752e649a64530a8b68c25b291298f.
[14] Zhang Jie, Yan Jining, Ma Yan, Xu Dong, Li Pengfei, Jie Wei. Infrastructures and services for remote sensing data production management across multiple satellite data centers. CLUSTER COMPUTING[J]. 2016, 19(3): 1243-1260, http://www.irgrid.ac.cn/handle/1471x/1182943.
[15] Yan Ma, Xiaomin Zhu, Lajiao Chen, Lizhe Wang. SIMULATION OF ECOHYDROLGOCAL PROCESS USING AN OPTIMALITY BASED MODEL. IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium : Volume 6 of 6 Pages 3801-4561.. 2016, 4281-4284, [16] Ma, Yan, Chen, Lajiao, Liu, Peng, Lu, Ke. Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation. COMPUTING[J]. 2016, 98(1-2): 7-33, http://www.irgrid.ac.cn/handle/1471x/1182987.
[17] Bin Chu, Yao Li, Lizhe Wang, Lajiao Chen, Yan Ma, Xiaomin Zhu. APPLICATION OF DDDAS IN MARINE OIL SPILL MANAGEMENT: A NEW FRAMEWORK COMBINING MULTIPLE SOURCE REMOTE SENSING MONITORING AND SIMULATION AS A SYMBIOTIC FEEDBACK CONTROL SYSTEM. IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium : Volume 6 of 6 Pages 3801-4561.. 2016, 4526-4529, [18] Wang, Lizhe, Yan Ma, Albert Zomaya, Rajiv Ranjan, Dan Chen. A Parallel File System with Application-aware Data Layout Policies in Digital Earth. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2015, 26(6): 1497 -1508, [19] Ma, Yan, Wu, Haiping, Wang, Lizhe, Huang, Bormin, Ranjan, Rajiv, Zomaya, Albert, Jie, Wei. Remote sensing big data computing: Challenges and opportunities. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE[J]. 2015, 51: 47-60, http://dx.doi.org/10.1016/j.future.2014.10.029.
[20] Chen, Lajiao, Wang, Lizhe, Ma, Yan, Liu, Peng. Overview of Ecohydrological Models and Systems at the Watershed Scale. IEEE SYSTEMS JOURNAL[J]. 2015, 9(3): 1091-1099, http://dx.doi.org/10.1109/JSYST.2013.2296979.
[21] Chen, Lajiao, Ma, Yan, Liu, Peng, Wei, Jingbo, Jie, Wei, He, Jijun. A review of parallel computing for large-scale remote sensing image mosaicking. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS[J]. 2015, 18(2): 517-529, http://www.irgrid.ac.cn/handle/1471x/1047315.
[22] Miao, Yanhua, Wang, Lizhe, Liu, Dingsheng, Ma, Yan, Zhang, Wanfeng, Chen, Lajiao. A Web 2.0-based science gateway for massive remote sensing image processing. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE[J]. 2015, 27(9): 2489-2501, http://www.irgrid.ac.cn/handle/1471x/907483.
[23] Wang, Lizhe, Chen, Dan, Liu, Wangyang, Ma, Yan, Wu, Yanhui, Deng, Ze. DDDAS-Based Parallel Simulation of Threat Management for Urban Water Distribution Systems. COMPUTING IN SCIENCE & ENGINEERING. 2014, 16(1): 8-17, http://ir.ceode.ac.cn/handle/183411/29741.
[24] Jing Wen, Yan Ma, Peng Liu, Shengtao Sun. Distributed multipliers in MWM for analyzing job arrival processes in massive HPC workload datasets. FUTURE GENERATION COMPUTER SYSTEMS. 2014, 37: 335-344, http://dx.doi.org/10.1016/j.future.2013.12.009.
[25] Peng Liu, Tao Yuan, Yan Ma, Lizhe Wang. Parellel Processing of Massive Remote Sensing Image In A GPU. Journal of Computing and Informatics[J]. 2014, 25(12): 1784-1797, [26] Chen, Lajiao, Ma, Yan, Liu, Peng, Xue, Wei. Parallelisation of a watershed distributed ecohydrological model with dynamic task scheduling. INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING[J]. 2014, 17(2-3): 110-121, https://www.webofscience.com/wos/woscc/full-record/WOS:000347629700004.
[27] Ma, Yan, Wang, Lizhe, Zomaya, Albert Y, Chen, Dan, Ranjan, Rajiv. Task-Tree Based Large-Scale Mosaicking for Massive Remote Sensed Imageries with Dynamic DAG Scheduling. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2014, 25(8): 2126-2137, https://www.webofscience.com/wos/woscc/full-record/WOS:000342178200018.
[28] Ma Yan, Wang Lizhe, Liu Dingsheng, Yuan Tao, Liu Peng, Zhang Wanfeng. Distributed data structure templates for data-intensive remote sensing applications. CONCURRENCY COMPUTATION PRACTICE AND EXPERIENCE[J]. 2013, 25(12): 1784-1797, http://ir.ceode.ac.cn/handle/183411/28925.
[29] Lin, Mu, Chen, Lajiao, Ma, Yan, IEEE. RESEARCH ON STREAM FLOW SERIES FRACTAL DIMENSION ANALYSIS AND ITS RELATIONSHIP WITH SOIL EROSION. 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)null. 2013, 1821-1823, [30] Zhang, Wanfeng, Wang, Lizhe, Liu, Dingsheng, Song, Weijing, Ma, Yan, Liu, Peng, Chen, Dan. Towards building a multi-datacenter infrastructure for massive remote sensing image processing. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE[J]. 2013, 25(12): 1798-1812, http://dx.doi.org/10.1002/cpe.2966.
[31] Wang, Lizhe, Tao, Jie, Ma, Yan, Khan, Samee U, Kolodziej, Joanna, Chen, Dan. Software Design and Implementation for MapReduce across Distributed Data Centers. APPLIED MATHEMATICS & INFORMATION SCIENCES[J]. 2013, 7: 85-90, http://ir.ceode.ac.cn/handle/183411/29740.
[32] Ma, Yan, Wang, Lizhe, Liu, Dingsheng, Yuan, Tao, Liu, Peng, Zhang, Wanfeng. Distributed data structure templates for data-intensive remote sensing applications. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE[J]. 2013, 25(12): 1784-1797, [33] Wang, Lizhe, Chen, Dan, Hu, Yangyang, Ma, Yan, Wang, Jian. Towards enabling Cyberinfrastructure as a Service in Clouds. COMPUTERS & ELECTRICAL ENGINEERING[J]. 2013, 39(1): 3-14, http://dx.doi.org/10.1016/j.compeleceng.2012.05.001.
[34] Ma Yan, Wang Lizhe, Liu Dingsheng, Liu Peng, Wang Jun, Tao Jie, IEEE. Generic Parallel Programming for Massive Remote Sensing Data Processing. 2012 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER)null. 2012, 420-428, http://ir.ceode.ac.cn/handle/183411/22985.
[35] Xiao Qiangju, Wang Jun, Ma Yan, Wang Lizhe, IEEE. NOHAA: A NOvel Framework for HPC Analytics over Windows Azure. PROCEEDINGS OF THE 2012 IEEE 18TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2012)null. 2012, 448-455, [36] Zhao Lingjun, Ma Yan, Liu Dingsheng, Zhang Wanfeng, Wang Jiang. A research on geometric precision correction with high accuracy and high performance. 2nd International Conference on Multimedia Technology, ICMT 2011,null. 2011, 3370-3373, http://ir.ceode.ac.cn/handle/183411/30594.
[37] Wang Yanying, Ma Yan, Liu Peng, Liu Dingsheng, Xie Jibo. An optimized image mosaic algorithm with parallel I/O and dynamic grouped parallel strategy based on minimal spanning tree. 9th International Conference on Grid and Cloud Computing, GCC 2010,null. 2010, 501-506, http://ir.ceode.ac.cn/handle/183411/30955.
[38] Ma Yan, Liu Dingsheng, Li Jingshan, IEEE. A NEW FRAMEWORK OF CLUSTER-BASED PARALLEL PROCESSING SYSTEM FOR HIGH-PERFORMANCE GEO-COMPUTING. 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5null. 2009, 2429-2432, [39] Zhao Lingjun, Ma Yan, Li Guoqing, Yu Wenyang, Zhang Jing, IEEE COMPUTER SOC. Rapid Calculation Research on Water Area Extraction from ASAR Image. 2009EIGHTHINTERNATIONALCONFERENCEONGRIDANDCOOPERATIVECOMPUTINGPROCEEDINGSnull. 2009, 339-343, http://dx.doi.org/10.1109/GCC.2009.43.
[40] Ma Yan, Zhao Lingjun, Liu Dingsheng. An Asynchronous Parallelized and Scalable Image Resampling Algorithm with Parallel I/O. Computational Science - Iccs 2009null. 2009, 357-366, http://ir.ceode.ac.cn/handle/183411/22986.
[41] Ma Yan, Li Guoqing, Wang Jian, Liu Dingsheng, Xiao N, Buyya R, Lium YH, Yang GG. The performance comparison and evaluation of parallel platforms based on throughput model. GCC2006FIFTHINTERNATIONALCONFERENCEONGRIDANDCOOPERATIVECOMPUTINGWORKSHOPSPROCEEDINGSnull. 2006, 482-+, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000242504900076.

（1） Cloud Computing in Remote Sensing, Springer CRC Press, 2019-06, 第 3 作者

   

（ 1 ） 基于数据密集指数模型的大尺度遥感数据处理任务调度研究（青年基金）, 主持, 国家级, 2015-01--2017-12
（ 2 ） 中科院青年促进会项目, 主持, 部委级, 2015-01--2019-12
（ 3 ） 全球变化关键参数快速算法的并行优化研究, 主持, 国家级, 2016-07--2021-01
（ 4 ） 地理计算海量数据快速访问技术与工具研制, 主持, 国家级, 2011-02--2013-02
（ 5 ） 水环境与生态环境专题产品生产系统集成, 主持, 国家级, 2013-01--2015-12
（ 6 ） 大尺度卫星遥感图像镶嵌并行处理关键技术研究, 主持, 市地级, 2013-06--2015-06
（ 7 ） 多中心海量遥感数据协同处理支撑系统, 参与, 国家级, 2013-01--2015-12
（ 8 ） 跨区域遥感监测应用系统, 参与, 国家级, 2010-07--2011-06
（ 9 ） 遥感科学与应用国家工程实验室项目建设, 参与, 国家级, 2010-01--2013-12
（ 10 ） 高性能对地观测微小卫星技术与应用研究, 参与, 国家级, 2005-01--2008-12
（ 11 ） “全国陆地卫星接收站网” 数据记录分系统, 参与, 国家级, 2007-01--2013-01
（ 12 ） 高性能数据密集型地学计算支撑平台（中科院“****”）, 参与, 部委级, 2012-07--2014-12
（ 13 ） 卫星数据集的稀疏表达（中科院一三五 自主部署项目）, 参与, 部委级, 2013-01--2014-12
（ 14 ） 基于分布式内存的跨云大规模多源遥感数据立方体处理优化(面上基金), 主持, 国家级, 2021-01--2024-12

（1） Generic Parallel Programming for Massive Remote Sensing Data Processing. Cluster Computing   Ma Y, Wang L, Liu D,    2012-07-03
（2） A New Framework of Cluster-Based Parallel Processing System for High-performance Geo-computing    Yan Ma, Dingsheng Liu, Jingshan Li,   2009-07-14

现指导学生

宋婕  硕士研究生  081002-信号与信息处理  

• 阎继宁，博士毕业，去向：中国地质大学（武汉）
  
• 岳莎莎，博士毕业，去向：中科院生物物理所
• 许冬，硕士毕业，去向：骑虎360公司
• 张弛，硕士毕业（燕山大学协助培养），去向 Bilibili公司
• 宋婕，硕士毕业，去向：快手