The Keynote Speakers of ICGMRS 2023 (in the process of updating...)
Prof. Ruizhi Chen
Wuhan University, China
Ruizhi Chen is a professor at Wuhan University and an academician at the Finnish Academy of Sciences and Letters. He is the former director of the State Key Laboratory of Mapping and Remote Sensing Information Engineering at Wuhan University. He is an internationally renowned scholar in the field of navigation and positioning, and is dedicated to theoretical research and core technology development of seamless indoor and outdoor navigation and positioning for smartphones and enhanced low-orbit satellite navigation. Prof. Chen mainly targets the technical problems of weak navigation satellite signals that cannot penetrate indoor space, and conducts research on high accuracy and high availability of smartphones and BeiDou low-orbit navigation augmentation, promoting the expansion of China's BeiDou navigation system services from outdoor to indoor, and upgrading from ground to low-orbit space. He has held the positions of Chair Professor at Texas A&M University-Corpus Christi, Director of the Navigation Department and Professor at Geodesy Institute of Finland, and Project Manager at Nokia Finland. Now he is leading one key project of the National 13th Five-Year Plan and one key project of the Natural Science Foundation. He has led and participated in more than twenty research projects with a total project funding of 150 million RMB.
Prof. Chen has published two English works, 97 SCI papers, two Computer Top Society papers, and one ESI highly cited paper. His research achievements have been featured twice on the cover of GPS Worlds, a famous American journal in the field of navigation. He used to serve as the chairman of the Global Chinese Navigation and Positioning Association, the director of the Nordic Navigation Society, and the editor-in-chief of the Journal of Global Positioning Systems and other international academic part-time jobs. In 2020, he has been awarded the Special Award for Scientific and Technological Progress in Surveying and Mapping, as well as the "2020 Smart City Pioneer List Leader" at the China Smart City Conference. As an instructor, he has guided students to win several world championships in international competitions in the field of indoor positioning during 2018-2020.
发表英文论著2部，SCI论文97篇，计算机顶会论文2篇，ESI高被引论文1篇。研究成果两次被导航领域美国著名杂志“GPS Worlds”选为封面专题报道。曾任全球华人导航定位协会主席，北欧导航学会理事，Journal of Global Positioning Systems主编等国际学术兼职。2020年获测绘科技进步特等奖，以及中国智慧城市大会“2020智慧城市先锋榜领军人物”荣誉称号。作为指导老师，指导学生在2018-2020年期间，多次获得室内定位领域国际比赛世界冠军。
Prof. Jun Li
China University of Geosciences, China
Professor Jun Li, winner of the National Science Fund for Distinguished Young Scholars in 2022, is engaged in the research on blind source separation and remote sensing data interpretation. In virtue of the blind source separation technology, she has proposed an unmixing model that can simultaneously obtain the number, information, and mixing parameters of blind sources to unmix the earth observation data from space, which breaks through the bottleneck of information separation when the number of blind sources is unknown. She has also put forward a fusion model for geographic optimal transport, which realizes the high-precision fusion of heterogeneous geospatial data, and a quantitative feature model with independent categories, which allows the accurate classification and recognition of remote sensing data. These research results have been widely applied in informatics, geography, biomedicine, and other fields by researchers both in China and beyond.
With nearly 100 papers that received over 5,000 citations by SCI journals, Professor Li has been selected into the rank of highly-cited researchers by Clarivate Analytics and Elsevier. She is an IEEE Fellow and Editor-in-chief of the IEEE JSTARS journal. Professor Li has chaired more than ten national, provincial, and ministerial-level scientific research projects, including projects supported by the National Natural Science Foundation of China, sub-projects of the National Key R&D Program, and projects of the National Defense Pre-Research Foundation of China. Additionally, she is the winner of the CSIG Shi Qingyun Young Female Scientist Award and the IEEE GRSS Early Career Award.
主要从事盲源分离与遥感数据解译研究。利用盲源分离技术解决空间对地观测数据混合问题，提出了可同时获取盲源数量、信息及混合参数的解混模型，突破了盲源数量未知情况下的信息分离瓶颈；提出了地理最优传输融合模型，实现了地理空间异构信息的高精度融合；提出了类别独立的定量化特征模型，实现了遥感数据的精准分类识别。成果被国内外学者广泛应用于信息学、地理学、生物医学等领域研究。发表论文近100篇，被SCI引用5000多次，入选科睿唯安、爱思唯尔高被引学者，IEEE Fellow，担任IEEE JSTARS期刊主编等。主持国家自然科学基金、国家重点研发项目子课题、国防预研等10余项国家和省部级科研项目。获中国图象图形学学会石青云女科学家青年奖、IEEE地球科学与遥感协会(GRSS)青年成就奖等。于2022年获国家杰出青年科学基金项目资助。
Associate Professor Xiuping Jia
School of Engineering and Information Technology, The University of New South Wales Canberra, Australia
（IEEE Fellow/澳大利亚《2021年研究杂志》Top 250研究员/IEEE award for Notable Services and Contributions towards the Advancement of IEEE and the Engineering Professions (2019-2021)）
Dr. Xiuping Jia received a B.Eng. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in January 1982. Later she received a Ph.D. degree in Electrical Engineering and a Graduate Certificate in Higher Education from The University of New South Wales, Australia, in 1996 and 2005, respectively, via part-time study. She has had a lifelong academic career in higher education, for which she has continued passion. She is currently an Associate Professor with the School of Engineering and Information Technology, The University of New South Wales at Canberra, Australia. Her research interests include remote sensing, hyperspectral image processing, and spatial data analysis. She served as the inaugural Chair of IEEE ACT&NSW Section GRSS Chapter from 2011-2013. Dr. Jia has published widely addressing various topics, including data correction, feature reduction, and image classification using machine learning techniques. She co-authored the remote sensing textbook Remote Sensing Digital Image Analysis [Springer- Verlag, 3rd (1999) and 4th eds. (2006)]. She is the author of Field Guide to Hyperspectral/Multispectral Image Processing, SPIE, 2022. These publications are highly cited in the remote sensing and image processing communities with an h-index of 52 and an i-10-index of 171 (Google Scholar). Dr. Jia has served as Editor-in-Chief of the IEEE Transactions on Geoscience and Remote Sensing.
贾秀萍博士于1982年1月在中国北京邮电大学获得工程学士学位。后来，通过兼职学习，分别于1996年和2005年获得澳大利亚新南威尔士大学的电气工程博士学位和高等教育研究生证书。学术生涯致力于高等教育领域，对该领域的专研精益求精。目前为澳大利亚堪培拉的新南威尔士大学工程和信息技术学院的副教授。研究兴趣包括遥感、高光谱图像处理和空间数据分析。2011-2013年，曾担任IEEE ACT & NSW分会GRSS分会的首任主席。广泛发表了各种主题的论文，包括数据校正、特征还原和使用机器学习技术的图像分类。与他人合著了遥感教科书《遥感数字图像分析》[Springer- Verlag, 第3版（1999）和第4版（2006）] 。是《高光谱/多光谱图像处理现场指南》的作者（ SPIE，2022年）。多个出版物在遥感和图像处理界被高度引用，H值高达52，谷歌学术i-10指数为171。曾担任IEEE 地球科学与遥感汇刊的主编。
Prof. Jian Yao
School of Remote Sensing and Information Engineering, Wuhan University, China
Research Area: Computer vision, artificial intelligence, robotics, high-precision maps, SLAM, navigation and positioning, driverless, 3D technology, VR/AR Website: https:cvrs.whu.edu.cn/jianyao/
Professor Yao is a doctoral supervisor and discipline leader of the School of Remote Sensing and Information Engineering of Wuhan University, a distinguished professor of “Chutian Scholars” in Hubei Province, a publicly announced candidate of the Class A Youth Project of the National Major Talent Project, a leading talent of the introduction plan of urgently needed and strategic talents in Changsha, and one of the 3551 high-level talents of innovation and entrepreneurship in Wuhan. He is Director of the AI Innovation and Application Center and the discipline leader of the School of Artificial Intelligence of Guangdong Open University and Dean of the Artificial Intelligence Research Center of Gongqing Institute of Science and Technology and the Research Institute of Gongdadi Innovation Technology (Shenzhen) Co., Ltd. He serves as an adjunct professor at the School of Aerospace Engineering of Xiamen University, a guest professor at Krirk University, a doctoral supervisor in the engineering technology field, a distinguished researcher of the Songhuajiang Qianren Industrial Research Institute, Head of Computer Vision & Remote Sensing (CVRS) Lab of Wuhan University, and Director of the Innovation Research Center for 3D Big Data and Artificial Intelligence of Wuhan University.
He has participated in multiple large projects such as the 6th and 7th Framework Programmes, as well as cooperation projects with International Atomic Energy Agency. In recent years, he has published more than 130 papers in international authoritative journals such as Pattern Recognition, Computer Vision & Image Understanding, International Journal of Robotics Research, IEEE Transactions on Image Processing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing (TGRS) and in other top international academic conferences such as CVPR, ECCV, and ICRA. He has applied for more than 80 national invention patents and other intellectual property rights and authorized more than 40 national invention patents. He has long served as a reviewer of international core journals and top international academic conferences in relevant fields.
曾参与欧盟第六和第七框架计划等多个大型项目，以及与国际原子能机构等合作项目。近年来，在 Pattern Recognition、Computer Vision & Image Understanding、International Journal of Robotics Research、IEEE Transactions on Image Processing, ISPRS Journal of Photogrammetry and Remote Sensing、IEEE Transactions on Geoscience and Remote Sensing (TGRS)等国际权威期刊和CVPR、ECCV、ICRA 等国际顶级学术会议上发表论文130余篇，申请国家发明专利等知识产权80余项，授权国家发明专利40余项。长期担任相关领域的国际核心期刊和顶级国际学术会议的审稿人。
Asso. Prof. Tao Chen
China University of Geosciences, China
（地球信息科学与技术系党支部书记/IEEE GRSS Wuhan Chapter副主席/IEEE Senior Member）
Tao Chen, Associate Professor, was appointed as a Ph.D. supervisor in June 2019. He holds the following titles: Secretary of the Party Branch, Department of Geoinformation Science and Technology, China University of Geosciences; Corresponding Reviewer, National Natural Science Foundation of China; Corresponding Reviewer, Center for Academic Degrees and Graduate Education Development, Ministry of Education; IEEE Senior Member (2021.4-); Vice Chair of IEEE GRSS Wuhan Chapter (2021.01- 2023.12); Member of Geological Society of China; Member of Chinese Graphics Association; Member of Chinese Geotechnical and Engineering Society. He is mainly engaged in the research of intelligent representation and computation of geological information and remote sensing information processing of geological hazards. In the past five years, he has hosted and participated in more than 10 longitudinal research projects, including two projects from the National Natural Science Foundation of China and one project from the Natural Science Foundation of Hubei Province. He has published 12 SCI papers as the first/corresponding author (including 7 papers above zone 2) and two monographs. He visited the University of New South Wales, Australia for one year from October 2015 to October 2016 with the support of the China Scholarship Council.
副教授，2019年6月被聘为博士生导师。中国地质大学地球信息科学与技术系党支部书记；国家自然科学基金通讯评审专家；教育部学位与研究生教育发展中心通讯评议专家；IEEE Senior Member (2021.4-)，IEEE GRSS Wuhan Chapter副主席(2021.01-2023.12)，中国地质学会会员，中国图形图象协会会员，中国岩土力学与工程学会会员。主要从事地学信息智能表达与计算、地质灾害遥感信息处理等方面的研究工作。近五年主持和参与相关纵向研究课题10余项，其中主持国家自然科学基金2项，湖北省自然科学基金1项。以第一/通讯作者发表SCI论文共计12篇（包含2区以上论文7篇）。出版专著2部。2015年10月至2016年10月受国家留学基金委资助，在澳大利亚新南威尔士大学访问一年。
Prof. Yi Wang
China University of Geosciences, China
In recent years, he has presided over and participated in more than 10 national, provincial and ministerial projects. Also, he published more than 60 international academic journals such as JOH, IJGIS, IEEE TIP, CATENA, and the papers have been cited nearly 2,200 times (Google Scholar), 7 papers were selected as ESI Global Top 1% Highly Cited Papers. In 2019, he was named CUG Outstanding Young Talent. In 2022, He won the Elsevier "Most Cited Paper Award 2021 (2019-2021) ".
近年来，主持和参与了10多项国家、省部级课题。同时，在JOH、IJGIS、IEEE TIP、CATENA等国际学术期刊上发表论文60余篇，论文被引用近2200次（谷歌学术），7篇论文入选ESI全球高被引论文TOP1%。2019年，被评为中国地质大学杰出青年人才。2022年，获得爱思唯尔 "2021年（2019-2021）被引用次数最多的论文奖"。
Xinjian Ou (Researcher)
No. 722 Research Institute, China State Shipbuilding Corporation Limited
Dr. Ou, a senior technical expert and researcher of the 72nd Research Institute of China State Shipbuilding Corporation Limited and a member of the Chinese Institute of Electronics, has long been engaged in research on the ship-integrated communication system as well as mobile communication and big data technology in special industries. With rich professional technical attainments and engineering experience, he has successively served as the director and deputy chief designer of the integrated communication system of the 9X1 ship and the XX1 and XX2 aircraft carriers and as the chief engineer of the major 5G project of the Navy. He led the organization of communication support tasks of the 2018 maritime parade and the 2019 multinational naval parade and won a second prize and two third prizes of Provincial and Ministerial Science and Technology Progress Awards, with more than ten SCI/EI retrieval papers and more than 20 national defense patents.
Prof. Dr. Nilanchal Patel
Department of Remote Sensing, Birla Institute of Technology Mesra, India
（Birla Institte of Technology负责人/地球科学会议活跃组织委员会成员/Springer、Taylor & Francis等顶级知名期刊成员）
Biography: Dr. Nilanchal Patel is Head & Professor at Birla Institte of Technology, India. He was previously appointed as lecturer in Remote Sensing and Geology at IIT-D. He completed his research from Indian Institute of Technology Kanpur on Digital Image Processing of Remotely Sensed Data for Lithological Discrimination in Rajasthan (India) after his Mtech in Applied Geology from Indian Institute of Technology, Roorkee. He has many international awards/fellowships from China, Denmark, Portugal and Poland. He is an active Organizing Committee Member in Earth Science Conferences, and is a member of very reputed journals like Springer and Taylor & Francis. Because of the quality of his work and determination, he has earned various prestigious awards and is a life member of various scientific communities. His research areas include Landslide hazard zonation, Assessment of forest degradation and fragmentation, Spectral eco-region mapping and characterization, Pattern recognition and image processing, Spectral characterization of water, soil and vegetation characteristics GIS-based landscape pattern analysis through landscape metrics, NPP and BIOMASS estimation of vegetation and crop, Habitat assessment through GIS, Estimation of soil organic carbon content, Urbanization pattern analysis, Vulnerability Analyses of Wetlands, Digital land use and land cover change detection studies, Rainfall-runoff modelling, Spectral classification of satellite data and Thermal remote sensing. His research interests include landslide hazard zonation, Assessment of forest degradation and fragmentation, Spectral eco-region mapping and characterization, Pattern recognition and image processing, Spectral characterization of water, soil and vegetation characteristics GIS-based landscape pattern analysis through landscape metrics, NPP and BIOMASS estimation of vegetation and crop, Habitat assessment through GIS, Estimation of soil organic carbon content, Urbanization pattern analysis, Vulnerability Analyses of Wetlands, Digital land use and land cover change detection studies, Rainfall-runoff modelling, Spectral classification of satellite data and Thermal remote sensing.
帕特尔博士，印度比拉理工学院教授兼院长，曾任德里印度技术学院遥感和地质学讲师。在鲁尔基印度理工学院获得应用地质学硕士学位后，完成了印度坎普尔理工学院关于印度拉贾斯坦邦岩性识别遥感数据数字图像处理的研究。曾获中国、丹麦、葡萄牙和波兰的许多国际奖项/奖学金，是地球科学会议的现任组委会委员和Springer、Taylor & Francis等知名期刊的成员。由于优越的工作质量和决心，他获得了各种著名奖项，是多个科学团体的终身成员。其研究领域包括滑坡危险等级划分、森林退化和破碎化评估、光谱生态区制图和表征、模式识别和图像处理、基于GIS的景观模式分析（通过景观度量）水、土壤和植被特征的光谱表征、植被和作物的NPP和生物量估算、通过GIS进行的生境评估、土壤有机碳含量估算、城市化模式分析、湿地脆弱性分析、数字土地利用和土地覆盖变化检测研究、径流模型、卫星数据光谱分类和热遥感。
The Keynote Speakers of ICGMRS 2022
Prof. Chenghu Zhou, Fellow, Chinese Academy of Sciences
Prof. Ruizhi Chen, Fellow of Finnish Academy of Science and Letters, Wuhan University
陈锐志 教授/芬兰科学与人文院院士, 武汉大学
Prof. Bisheng Yang, Wuhan University
Prof. Zhiwei Xu, Zhejiang University
Reacher Zongming Wang, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
Prof. Kun Yang, Zhejiang Ocean University
Prof. Weiwei Sun, Ningbo University
Distinguished Accos. Prof. Zhenwei Guo, Central South University
Researcher Jun Yan, Aerospace Ilnformation Research Institute, Chinese Academy of Sciences
Prof. Qiangqiang Yuan, Wuhan University
Prof. Qunming Wang, Tongji University
A. Prof. Jun Li, China University of Mining & Technology, Beijing
A. Prof. Gang Yang, Ningbo University
A. Researcher Mingming Jia, Northeast Institute of geography and AGgroecology, Chinese Academy of Sciences
Senoir Engineer Jian Jiao, Nanjing Hydraulic Research Institute
Lec Lei Li, Zhejiang Ocean University
Researcher Jia Liu, The Institute of Acoustics of the Chinese Academy of Sciences
Prof. Liqiang Zhang, Beijing Normal University
A. Prof. Wenhao Zhang, North China Institute of Aerospace Engineering
A. Prof. Hongming Zhang, Beijing University of Posts and Telecommunications
A. Prof. Jingjing Wang, Beihang University
Researcher Zhaohui Yang, University College London
Prof. Yingcheng Lu, Nanjing University
Lec. Zhifeng Yu, Hangzhou Normal University
Researcher Jian Sun, Institute of Tibetan Plateau Research, Chinese Academy of Sciences
Prof. Tianxing Wang, Sun Yat-sen University
Prof. Zefa Yang Central South University
A. Prof. Yongjun Yang, China University of Mining and Technology
Prof. Weile Li, Chengdu University of Technology
A. Prof. Ping Lu, Tongji University
A. Prof. Jian Kang, Soochow University
Lec. Rui Zhang, Jiangsu University of Science and Technology
A. Prof. Chao An, Shanghai Jiao Tong University
A. Prof. Lingling Ye, Southern University of Science and Technology
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2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023) http://www.icgmrs.com/