Prof. Ruizhi Chen
Wuhan University, China
陈锐志教授，武汉大学
（芬兰科学与人文院院士/前武汉大学测绘遥感信息工程国家重点实验室主任/导航定位领域国际著名学者）
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.
武汉大学教授、芬兰科学与人文院院士。前武汉大学测绘遥感信息工程国家重点实验室主任。导航定位领域国际著名学者，致力于智能手机室内外无缝导航定位和低轨卫星导航增强的理论研究与核心技术开发。主要针对导航卫星信号弱，无法穿透室内空间的技术难题，开展智能手机的高精度、高可用和北斗低轨导航增强等方面的研究，推动我国北斗导航系统的服务从室外拓展到室内，从地面提升到低轨空间。曾任美国德州农工大学Corpus Christi分校讲席教授、芬兰大地测量研究所导航部主任、教授和芬兰诺基亚公司项目经理等职务。现主持国家十三五重点研发项目和自然科学基金重点项目各1项。曾主持和参与了科研项目二十余项，项目总经费达1.5亿人民币。
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
李军教授，中国地质大学
（国家杰青/科睿唯安、爱思唯尔高被引学者/IEEE Fellow/中国图象图形学学会石青云女科学家青年奖获得者/IEEE地球科学与遥感协会(GRSS)青年成就奖获得者）
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
贾秀萍副教授，新南威尔士大学堪培拉分校
（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.
Speech Title: Multiscale hyperspectral information extraction - From Micro to Macro
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。
报告题目：多尺度高光谱信息提取--从微观到宏观
Prof. Jian Yao
School of Remote Sensing and Information Engineering, Wuhan University, China
姚剑教授，武汉大学
（湖北省“楚天学者”特聘教授，武汉大学遥感信息工程学院学科带头人）
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.
武汉大学遥感信息工程学院教授，博士生导师，湖北省“楚天学者”特聘教授，武汉大学遥感信息工程学院学科带头人，国家重大人才工程A类青年项目公示入选者，长沙市引进紧缺急需和战略型人才计划领军人才，武汉市3551创新创业高层次人才，广东开放大学人工智能学院学科带头人，广东开放大学人工智能应用创新中心主任，共青科技职业学院人工智能研究院院长，共达地创新技术（深圳）有限公司研究院院长，厦门大学航空航天大学兼职教授，泰国格乐大学客座教授、工程技术领域博士生导师，松花江千人产业研究院特聘研究员，武汉大学计算机视觉与遥感实验室负责人，武汉大学3D大数据人工智能创新研究中心主任。
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
陈涛副教授，中国地质大学
（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. Roman Alvarez
National Autonomous University of Mexico (UNAM), Mexico
Roman Alvarez教授，墨西哥国立自治大学
（前美国国家航空航天局月球样本计划的首席研究员）
Dr Alvarez obtained MsC and PhD degrees from University of California at Berkeley in 1970 and 1972, respectively. He has spent 48 years at the National Autonomous University of Mexico (UNAM) as a Professor and Researcher at the Institute of Applied Mathematics (IIMAS) and the Institute of Geophysics. In the 1989-1977 period he was director of the Institute of Geography. Between 1975-1977 he was Principal Investigator in NASA’s Lunar Sample Program. He has done research in electrical properties of rocks, Tectonics, and volcanic structures.
Alvarez博士分别于1970年和1972年在加州大学伯克利分校获得MsC和PhD学位。在墨西哥国立自治大学（UNAM）工作了48年，担任应用数学研究所（IIMAS）和地球物理研究所的教授和研究员。在1989-1977年期间，担任地理研究所的主任。1975-1977年间为美国国家航空航天局月球样本计划的首席研究员。Alvarez博士主要研究岩石的电性能、构造学和火山结构等方面。
Prof. Yi Wang
China University of Geosciences, China
王毅教授，中国地质大学
（中国地质大学杰出青年人才，爱思唯尔 “2021年（2019-2021）最多引用论文奖”获奖者）
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"。
Prof. Liang Xiao
Xiamen University, China
肖亮教授，厦门大学
Xiao is a professor, PhD supervisor and Deputy Director of Technical Department of School of Informatics of Xiamen University. She is a member of the National Key Youth Talent Program and an IEEE ComSoc Distinguished Lecturer. Xiao has so far published two professional books in English and over 60 papers on IEEE journals, with 8100 citations on Google Scholar. She has won the Science and Technology Progress Award of Fujian Province (2020), the Second Prize of Natural Science of Chinese Institute of Electronics (2021), and the Youth Science and Technology Award of China Institute of Communications (2018). She is also on the editorial board of IEEE Trans. Commun., IEEE Trans. Dependable Secure Comput., IEEE Trans. Inf. Forensics Security, China Communications, and many other journals. Recognized as an author of highly-cited papers by Clarivate, Xiao has won awards from a number of conferences including IEEE ICC, and many of her research has entered the list of Best Readings of IEEE Communications Society.
厦门大学信息学院教授，博士生导师，科技处副处长，国家重点青年人才项目入选者、IEEE通信学会杰出讲师(IEEE ComSoc Distinguished Lecturer)。出版2部英文专著，累计发表IEEE期刊论文60余篇，谷歌学术引用8100次。以第一完成人身份获福建省科技进步奖一等奖（2020）、中国电子学会自然科学奖二等奖（2021）、中国通信学会青年科技奖（2018）。担任IEEE Trans. Commun.，IEEE Trans. Dependable Secure Comput.，IEEE Trans. Inf. Forensics Security 和《中国通信》编委等。被评为科睿唯安ESI中国高被引学者，荣获IEEE ICC 等7个国际会议论文奖，多项成果入选IEEE 通信学会Best Readings。
Prof. Ming Jiang
Sun Yat-sen University, China
江明教授，中山大学
Jiang is a professor, senior engineer, PhD supervisor of Sun Yat-sen University. He is also the Deputy Director of the National‐Local Joint Engineering Laboratory for IoT Chip and System Application Technology, Director of IoT Chip and System Technology Engineering Laboratory of Guangdong Province, and an IEEE Senior Member. He has won honors including the Leading Expert of Science and Technology Innovation of Guangdong, a member of the “100 Innovation and Entrepreneurship Talents Plan” of Guangzhou, and a member of the “121 Talent Ladder Program” of Guangzhou. Jiang obtained his doctoral degree from University of Southampton whose electronic and electrical engineering program remains top in the UK, and has worked with Global 500 enterprises: he was once an engineer in Samsung Research (UK), the manager and technical director of Guangdong R&D Center of Canadian Nortel Networks, Deputy Director of New Postcom Equipment and the President of its Research Institute in Guangzhou. When abroad, Jiang has chaired and participated in the EU FP6/FP7 Plan, the UK MVCE Research Initiative, and several other projects; when back in China, Jiang chaired some state key R&D programs, research projects funded by the National Natural Science Foundation, and key research initiatives of Guangdong Province. With his research focus on modern mobile communication system, Jiang has so far authored and edited six books, published over 90 papers, applied more than 100 invention patents, and put forward over 400 3GPP LTE/LTE-A international standard proposals.
博士，中山大学“****”引进人才、教授/高工、博士生导师，物联网芯片与系统应用技术国家地方联合工程实验室副主任、广东省物联网芯片与系统应用技术工程实验室主任、美国IEEE高级会员。曾获广东省科技创新领军人才、广州市首批“创新创业领军人才****”、广州市“121人才梯队工程”等荣誉。博士毕业于英国电子专业连续多年排名第一的南安普顿大学电子与电气工程专业，拥有多年海外经历及全球500强通信外企工作经验，历任三星电子（英国）研究工程师、加拿大北电网络广东研发中心经理与技术主管、新邮通信设备有限公司集团研究院副院长兼广州研究院院长等职。在海外期间，作为课题负责人、核心骨干参与欧盟FP6/FP7框架计划、英国MVCE核心研究计划等重大项目，回国后牵头承担国家重点研发计划课题、国家自然科学基金、广东省重点领域研发计划、广东省科技计划等十余项研发项目。主要研究方向为现代移动通信系统，近年参编中英文专业书著6部，发表国际期刊和会议论文90余篇，申请国内外发明专利100余项，提交3GPP LTE/LTE-A国际标准提案400余篇等。
Prof. Yongzhi Wang
Suzhou University of Science and Technology, China
王永志教授，苏州科技大学
硕士生导师，入选江西省“青年井冈学者奖励计划”和江西理工大学“清江人才计划”（青年拔尖人才），获评为2019年度江西省优秀测绘地理信息科技青年人才、2018年度江西理工大学青年科技标兵等，兼任国际数字地球学会中国国家委员会虚拟地理环境专业委员会委员。主持国家自然科学基金项目3项、第一作者出版学术专著4部（其中全英文专著1部），发表SCI、EI等学术期刊论文22篇，其中SCI期刊收录11篇（包括SCI一区Top期刊2篇：ISPRSJPRS和JAG）；申请国家发明专利10余项、其中已授权或转让7项，获批软件著作权13项。主持江西省高等学校教学改革研究课题3项，作为主要人员参与江西省学位与研究生教育教学改革研究课题1项、江西省高等学校（本科）省级精品资源共享课程1项，作为核心成员参与完成了测绘工程专业“卓越计划项目”及“国家一流专业建设点”申报和两轮测绘工程专业教育部工程教育专业认证工作，发表教改论文6篇。指导硕士研究生30余人，13人次获得省级或校级研究生创新训练项目，4人次获得国家或省政府奖学金，9人次获得江西省或江西理工大学“优秀研究生毕业论文”。
Wang is a master’s supervisor at Suzhou University of Science and Technology. He is the “Jinggang Youth Scholar Incentive Plan” of Jiangxi Province and “Qingjiang Talent Plan” of Jiangxi University of Science and Technology. In 2019, Wang was awarded as the Excellent Young Expert of Geomatics Technology of Jiangxi; in 2018, he won the honor as the Model of Young Science and Technology Research of Jiangxi University of Science and Technology. He is also a member of the Technical Committee of Virtual Geographic Environment of Chinese National Committee of International Society of Digital Earth. He has chaired three research projects funded by the National Natural Science Foundation of China, authored four books and 22 papers, among which 11 are on SCI-indexed journals. Meanwhile, Wang has filed 10 inventive patents, seven of which were transferred or authorized, and has been approved for 13 software copyrights. Wang chaired three projects for higher education reforms in Jiangxi Province, one research project for degree and graduate education reforms, and one project for high-quality sharing courses of higher education in Jiangxi Province. Moreover, Wang has joined as a core team member for the proposal of “Excellence Plan of Geomatics Education” and “Construction of National First-class Specialty” Program, and completed the Accreditation of the geomatics subject on the Ministry of Education. Wang has published six papers on education reforms, supervised over 30 graduate students, where 13 won awards in the national or provincial graduate student innovation training programs, four were granted with national and provincial scholarship, and nine were authors of “Excellent Graduate Student Graduation Theses” of Jiangxi Province or Jiangxi University of Science and Technology.
Xinjian Ou (Researcher)
No. 722 Research Institute, China State Shipbuilding Corporation Limited
欧新建研究员，中国船舶集团有限公司第七二二研究所高级技术专家
欧新建，研究员，中国船舶集团有限公司第七二二研究所高级技术专家，中国电子学会会员，长期从事船舶综合通信系统研究和特种行业移动通信技术、大数据技术研究，具备丰富的专业技术造诣和工程经验，先后担任多个重点型号综合通信系统主任和副主任设计师，5G项目总师，牵头组织大型海洋环境应用服务通信保障任务，获省部级科技进步奖二等奖1项，三等奖2项，SCI/EI检索论文十余篇，授权专利数二十余项。
Asso. Prof. Sicong Liu
Tongji University
柳思聪副教授，同济大学
With a PhD degree from University of Trento, Liu is now an associate professor and doctoral supervisor at College of Surveying and Geo-informatics, with research focuses on theories and application of smart processing of space remote sensing information. Liu has chaired seven research projects funded by the National Natural Science Foundation of China. With over 100 papers published on conference proceedings and 80 on SCI-indexed journals, Liu has won the first prize of 2019 Surveying Science and Technology Advances Award. He has been the technical committee chair for the 10th International Workshop on the Analysis of Multitemporal Remote sensing Images (MultiTemp2019), a member of the SPIE Remote Sensing Digital Forum: Image and Signal Processing for Remote Sensing (since 2020), the technical committee of Hyperspectral Remote Sensing Technology and Application of China Association of Remote Sensing Application, the technical committee on remote sensing image and graphics of China Society of Image and Graphics, and the working committee of deep space exploration, remote sensing and mapping of Chinese Society for Geodesy Photogrammetry and Cartography. He is also the associate editor of IEEE GRSL, an editorial member of several international journals and a guest editor for special issues. Moreover, as an IEEE Senior Member, Liu has been a candidate to the “Shanghai Young Science and Technology Star Plan” and “GIS New Star at Universities”.
Speech Title: Multimodal remote sensing image fusion and surface element recognition
意大利特伦托大学（University of Trento）哲学博士，现任同济大学测绘与地理信息学院副教授，博士生导师。主要从事航天遥感信息智能处理理论方法与应用研究。主持包括国家自然科学基金面上项目等7个项目。发表学术论文100余篇，其中SCI论文80余篇。核心创新成果获2019年测绘科技进步一等奖（序1）。担任第十届国际多时相遥感影像分析大会（MultiTemp2019）技术程序主席、SPIE Remote Sensing Digital Forum: Image and Signal Processing for Remote Sensing程序委员会委员（2020年至今），是中国遥感应用协会高光谱遥感技术与应用专业委员会、中国图象图形学学会遥感图像专业委员会和中国测绘学会深空探测遥感测绘工作委员会委员等。担任《IEEE GRSL》副主编及多个国内外知名学术期刊编委及专刊特邀主编。是IEEE Senior Member，入选上海市青年科技启明星计划，获“高校GIS新锐”荣誉称号等。
报告题目：多模态遥感影像融合与地表要素识别
Renlong Hang (Associate Researcher)
Nanjing University of Information Science and Technology
杭仁龙副研究员，南京信息工程大学
Hang obtained his doctoral degree in meteorological information and technology from Nanjing University of Information Science and Technology. He is now a master’s supervisor, with research focuses on model recognition, remote sensing image analysis, and intelligent interpretation of meteorological big data. Hang has published more than 30 papers on international journals like IEEE-TGRS, IEEE-TIP, which have been cited for over 1200 times, and many are ESI highly-cited papers. Hang has chaired some research projects funded by the National Natural Science Foundation of China and the Youth Foundation of Jiangsu Province. Honors that Hang has won include the Excellent Doctorate Thesis Award of Jiangsu, the Best Student Paper Award on Chinese Conference on Pattern Recognition and Computer Vision, the nominate for Best Student Paper Award on Chinese Conference on Computer Vision, and the Best Reviewer Award of IEEE-JSTARS. He is now a Topical Associate Editor of IEEE-JSTARS and was once a Guest Editor for the journal Remote Sensing. Since 2021, Hang has been the Secretary of the Technical Committee on Intelligent Remote Sensing of Jiangsu Association of Artificial Intelligence.
Speech Title: Joint classification of hyperspectral and LiDAR data using convolutional networks
2017年博士毕业于南京信息工程大学气象信息技术专业。主要从事模式识别、遥感图像分析、气象大数据智能解译等方向的研究。已在国际期刊IEEE-TGRS，IEEE-TIP等发表论文30余篇，共计被引1200余次，多篇论文入选ESI高被引论文。主持国家自然科学青年基金、江苏省青年基金等项目。曾获江苏省优秀博士学位论文奖、中国模式识别与计算机视觉大会最佳学生论文奖、中国计算机视觉大会最佳学生论文提名奖、IEEE-JSTARS最佳审稿人奖。现担任IEEE-JSTARS期刊Topical Associate Editor，曾担任Remote Sensing期刊的Guest Editor。2021年4月起担任江苏省人工智能学会智能遥感专委会秘书长。
报告题目：基于卷积网络的高光谱和激光雷达联合分类
Asso. Prof. Jie Li
Wuhan University
李杰副教授，武汉大学
Li’s research mainly focuses on smart fusion of multisource remote sensing images, quality improvement of optical/SAR image, multisource multi-modal data fusion, deep learning, temporal and spatial big data mining and fusion. He has published 54 papers, among which 40 are on SCI-indexed journals and three are ESI highly-cited papers (top 1%), and has authored two books. Honors Li has received include the Best Paper Award on 2018WHISPERS, Outstanding Award on the national collegiate teaching contest of young surveying teachers, and First Prize in Surveying Technology Advances (2017). Li has chaired many research projects funded by the National Natural Science Foundation of China, the National Natural Science Foundation of Hubei, the special funding projects for doctoral students, and many national and provincial research programs. Undergraduate courses he has taught include “Theory and Application of Remote Sensing”, “Machine Learning”, “Quantitative Remote Sensing”, and “Cloud Computing”. He has been a communications reviewer of the committee of National Natural Science Foundation, and a reviewer for about 20 SCI-indexed journals.
Speech Title: Time-space-spectral fusion of multi-source heterogeneous remote sensing images based on deep learning
主要从事多源遥感图像智能化融合方面的研究工作，光学/SAR影像质量改善、多源多模态数据融合、深度学习、时空大数据挖掘和融合。在国内外共发表学术论文54篇，SCI论文40余篇（中科院二区以上论文26篇）。3篇论文入选ESI高被引论文（前1%），SCI他引757次，单篇最高被引209次。获得2018WHISPERS最佳论文奖，全国高等学校测绘类专业青年教师讲课竞赛特等奖、测绘科技进步一等奖（2017），出版学术专著2部。主持了国家自然科学基金面上项目、国家自然科学基金青年项目、湖北省自然科学基金面上项目、博士后特别资助与面上项目等，参与多项国家级/省部级项目。主讲了本科生课程《遥感原理与应用》、《机器学习》、《定量遥感》、《云计算》。担任国家自然科学基金委员会通讯评议专家、近20个国际SCI期刊审稿人。
报告题目：基于深度学习的多源异质遥感影像时-空-谱一体化融合
Asso. Prof. Renwei Dian
Hunan University
佃仁伟副教授，湖南大学
Dian is a doctorate supervisor, a core member of the key laboratory of vision sensing and artificial intelligence of Hunan, a candidate for the National Post-doctoral Innovation Support Plan and the Excellent Youth Foundation of Hunan. His research focuses are mainly on image fusion, hyperspectral computing, and imaging. Dian has chaired key research projects of Technical Committee of Ministry of National Defense, the National Natural Science Foundation, the Post-doctoral Science Foundation, the Natural Science Foundation of Changsha. Dian has published over 10 papers on top journals and conferences, among which 6 are ESI highly-cited papers. Honors he has won include the Wu Wenjun AI Science & Technology Award, Excellent Doctorate Thesis Award of China Society of Image and Graphics, the Nominate for the Best Student Paper Award of IEEE Geoscience and Remote Sensing Symposium. Dian has been invited as a guest editor to Frontiers in Remote Sensing and a reviewer to journals including IEEE TPAMI, IJCV, IEEE TIT, IEEE TIP, IEEE TNNLS, IEEE TCYB, IEEE TCVST, IEEE TGRS, IEEE TMM, IEEE TIM, Information Fusion, IEEE/CAA Journal of Automatica Sinica, SCIENTIA SINICA Information.
Speech Title: High-resolution hyperspectral intelligent fusion imaging method and devices
博士生导师，视觉感知与人工智能湖南省重点实验室核心成员，国家博士后创新人才支持计划和湖南省优秀青年基金入选者，要从事图像融合、高光谱计算成像等领域的研究工作。主持军委科技委重点项目子课题、国家自然科学基金青年项目、博士后科学基金、长沙市自然科学基金等项目。在IEEE TIP、CVPR、IEEE TCYB、IEEE TNNLS和Information Fusion等顶级期刊和会议上发表论文10余篇，其中ESI高被引论文6篇，获得了吴文俊人工智能优秀青年奖、中国图象图形学学会优秀博士学位论文奖、IEEE地球科学与遥感大会最佳学生论文提名奖。受邀担任期刊Frontiers in Remote Sensing客座编辑以及 IEEE TPAMI、IJCV、IEEE TIT、IEEE TIP、IEEE TNNLS、IEEE TCYB、 IEEE TCVST、 IEEE TGRS、IEEE TMM、IEEE TIM、Information fusion、IEEE/CAA Journal of Automatica Sinica（自动化学报英文版）、中国科学：信息科学等国内外知名期刊审稿人。
报告题目：高分辨率高光谱智能融合成像方法与装置研究
Yong Chen (Lecturer)
Jiangxi Normal University
陈勇讲师，江西师范大学
Chen obtained his doctoral degree in 2020 from School of Mathematical Sciences of University of Electronic Science and Technology of China. When pursuing the doctoral degree, Chen received full sponsorship for a one-year study tour to RIKEN AIP. In March 2021, Chen joined the School of Computer Information Engineering of Jiangxi Normal University. So far, Chen has published 26 papers on journals and conferences, where 22 are on SCI-indexed journals including IEEE TIP, IEEE TCYB, ISPRS P&RR, IEEE TGRS, IEEE TCI and PR, with one ESI highly-cited paper. The total citations of his papers reached nearly 700 on Google Scholar. Chen has chaired one project funded by the National Natural Science Foundation and another one funded by the Natural Science Foundation of Jiangxi, and has taken part in several research programs funded by the National Natural Science Foundation. Now, Chen is a reviewer for several SCI-indexed journals like IEEE TIP, IEEE TNNLS, IEEE TGRS, IEEE JSTSP, and IEEE JSTARS.
Speech Title: Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising
2020年12月毕业于电子科技大学数学科学学院，获得理学博士学位。博士期间（2018-2019）获日本理化学研究所（RIKEN AIP）全额资助，前往访问一年。2021年3月加入计算机信息工程学院。截至目前，在其研究领域的重要期刊和会议上发表高水平学术论文26篇，SCI论文22篇，其中中科院一区13篇，二区论文5篇，包括IEEE TIP, IEEE TCYB, ISPRS P&RR, IEEE TGRS, IEEE TCI和PR，ESI高被引论文1篇。Google Scholar总引用近700余次。主持国家自然科学基金青年基金1项，主持江西省自然科学基金青年基金1项。参与国家自然科学基金面上项目2项和青年基金1项。目前担任IEEE TIP, IEEE TNNLS, IEEE TGRS，IEEE JSTSP, IEEE JSTARS等主流SCI期刊的审稿人。
报告题目：Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising
The Keynote Speakers of ICGMRS 2022
Prof. Chenghu Zhou, Fellow, Chinese Academy of Sciences
周成虎 院士/教授，中国科学院
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
杨必胜 教授，武汉大学
Prof. Zhiwei Xu, Zhejiang University
徐志伟教授，浙江大学
Reacher Zongming Wang, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
王宗明，研究员，中国科学院东北地理与农业生态研究所
Prof. Kun Yang, Zhejiang Ocean University
杨堃 教授/国家级青年人才，浙江海洋大学
Prof. Weiwei Sun, Ningbo University
孙伟伟 教授/国家级青年人才，宁波大学
Distinguished Accos. Prof. Zhenwei Guo, Central South University
郭振威 特聘副教授/国家级青年人才，中南大学
Researcher Jun Yan, Aerospace Ilnformation Research Institute, Chinese Academy of Sciences
闫珺 研究员/《遥感学报》副主编，中国科学院空天信息创新研究院
Prof. Qiangqiang Yuan, Wuhan University
袁强强 教授/国家级青年人才，武汉大学
Prof. Qunming Wang, Tongji University
王群明 教授/国家级青年人才，同济大学
A. Prof. Jun Li, China University of Mining & Technology, Beijing
李军 副教授，中国矿业大学（北京）
Guest Speakers:
A. Prof. Gang Yang, Ningbo University
杨刚 副教授，宁波大学
A. Researcher Mingming Jia, Northeast Institute of geography and AGgroecology, Chinese Academy of Sciences
贾明明 副研究员，中国科学院东北地理与农业生态研究所
Senoir Engineer Jian Jiao, Nanjing Hydraulic Research Institute
缴健 高级工程师，南京水利科学研究院
Lec Lei Li, Zhejiang Ocean University
李磊 讲师，浙江海洋大学
Researcher Jia Liu, The Institute of Acoustics of the Chinese Academy of Sciences
刘佳 研究员，中国科学院声学研究所
Prof. Liqiang Zhang, Beijing Normal University
张立强 教授，北京师范大学
A. Prof. Wenhao Zhang, North China Institute of Aerospace Engineering
张文豪 副教授，北华航天工业学院
A. Prof. Hongming Zhang, Beijing University of Posts and Telecommunications
张洪铭 副教授，北京邮电大学
A. Prof. Jingjing Wang, Beihang University
王景璟 副教授，北京航空航天大学
Researcher Zhaohui Yang, University College London
杨照辉 研究员，伦敦大学学院
Prof. Yingcheng Lu, Nanjing University
陆应诚 教授，南京大学
Lec. Zhifeng Yu, Hangzhou Normal University
于之锋 讲师，杭州师范大学
Researcher Jian Sun, Institute of Tibetan Plateau Research, Chinese Academy of Sciences
孙建 研究员，中国科学院青藏高原研究所
Prof. Tianxing Wang, Sun Yat-sen University
王天星 教授，中山大学测绘科学与技术学院
Prof. Zefa Yang Central South University
杨泽发 教授，中南大学
A. Prof. Yongjun Yang, China University of Mining and Technology
杨永均 副教授，中国矿业大学
Prof. Weile Li, Chengdu University of Technology
李为乐 教授，成都理工大学
A. Prof. Ping Lu, Tongji University
陆平 教授，同济大学
A. Prof. Jian Kang, Soochow University
康健 副教授，苏州大学
Lec. Rui Zhang, Jiangsu University of Science and Technology
张芮 讲师，江苏科技大学
A. Prof. Chao An, Shanghai Jiao Tong University
安超 副教授，上海交通大学
A. Prof. Lingling Ye, Southern University of Science and Technology
叶玲玲 副教授，南方科技大学