Prof. Dr. Shaofu Lin is a Professor at the College of Computer Science, Beijing University of Technology, China. He holds a Ph.D. from the Institute of Remote Sensing and Geographic Information Systems, Peking University. His research areas are 1. smart city spatial-temporal big data; 2. big data computing and intelligence; 3. blockchain and data governance; and 4. internet of things (IoT) and IntelliSense. He is also a distinguished member of China Computer Federation; a senior member of the Chinese Institute of Electronics; an executive member of China Computer Federation Data Governance Development Committee; an executive member of the Block-Chain Commission, and senior member of China Computer Federation; a member of Federated Data and Federated Intelligence Professional Committee, Chinese Association of Automation; a member of BRICS Remote Sensing Satellite Constellation Expert Group; a member of Metaverse Committee of 100, China Science and Technology Communications Center and Chinese Society for Science and Technology Journalism; an executive director of the Disability Statistics Branch of National Statistical Society of China; an executive member of Rehabilitation Engineering and Assistive Technology Professional Committee, China Association of Rehabilitation of Disabled Persons; a vice president of Beijing Information and Telecommunication Association; and a board member of Beijing Institute of Bigdata.
Dr. Li Tian currently works as an Associate Researcher and Master's Supervisor at the Institute of Geographic Sciences and Natural Resources Research, University of Chinese Academy of Sciences. She obtained a Ph.D. from the School of Life Sciences, Sun Yat-sen University in 2013. She completed a postdoctoral fellowship at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences in 2015. From 2015 to 2017, she was a visiting scholar at the School of Geography, University of Maryland, USA. Her research fields and directions are landscape ecology and integrated physical geography.
