Prof.Yiwen Qi

 Fuzhou University, China

Biography: Yiwen Qi graduated from Harbin Institute of Technology with a Ph.D. in power machinery and engineering in 2012. He was a postdoctoral fellow at the University of Groningen, the Netherlands; a visiting scholar at Kyoto University, Hiroshima University, and Australian National University. He is currently a Professor with the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China. His current research interests include analysis and synthesis of switched systems, security and privacy, event-triggered control, learning control, active disturbance rejection control, and their applications in power systems. He is a Distinguished Professor of “Minjiang Scholar” in Fujian Province and an Outstanding Scientific and Technological Worker of Liaoning Province. He serves as the youth editorial board member of “Propulsion Technology”, a member of China Aerospace Power Federation - Aeroengine Control Technology Professional Committee, a member of China Space Science Society - Space Intelligence Professional Committee, a member of China Automation Society - Hybrid Intelligence Professional Committee, and a member of China Automation Society - Youth Work Committee. He hosted over 35 projects, including 8 at the national level. He has published 2 academic books (Science Press) and more than 100 high-quality academic papers in authoritative journals and conferences such as Automatica, Systems & Control Letters, and IEEE Transactions.

Prof. Jian Yao

Wuhan University, China 

Biography: Yao is a professor, Doctoral Supervisor, Distinguished Professor of "Chutian Scholar" Program of Hubei Province, Discipline Development Leader of the School of Remote Sensing Information Engineering of Wuhan University, a candidate of the National Major Talent Project A-type Youth Project, a member of the Strategic Talent Training Program of Changsha, a high-end talent of the 3551 Entrepreneurship and Innovation Program of Wuhan, a student of the Class 2019 of Baidu Alpha College, a leader of the Artificial Intelligence College of Guangdong Open University, director of the Artificial Intelligence Application Innovation Center of Guangdong Open University, dean of Research Institute of Desauto Technology (Shenzhen) Co., Ltd., Professor of Xiamen University of Aeronautics and Astronautics, distinguished researcher of Songhua River Thousand People Industry Research Institute, director of Wuhan University Computer Vision and Remote Sensing Lab (WHU-CVRS Lab), director of 3D Big Data Artificial Intelligence Innovation Research Center of Wuhan University, incumbent Member of the Chinese Society of Artificial Intelligence, member of the Computer Vision Professional Committee of the Chinese Computer Society (CCF), member of the Imaging Detection and Perception Committee of the Chinese Society of Image and Graphics, member of the Machine Vision Specialty Committee of the Chinese Society of Image and Graphics, member of 3D Vision Specialist Committee of the Chinese Society of Image and Graphics, member of the Big Data and Artificial Intelligence Working Committee of the Chinese Society of Surveying and Mapping, and director of the New Overseas Chinese Professionals Association of Hubei Province and Wuhan City. In April 2012, he was introduced to the School of Remote Sensing and Information Engineering of Wuhan University as a discipline development leader and has been a faculty member since then. He was invited as a specially-appointed professor of “Hubei Scholar” Program of Hubei in 2013. He has participated in many large-scale projects such as the EU's sixth and seventh framework plans, as well as cooperation projects with the International Atomic Energy Agency. In recent years, he has published over 130 papers on international journals, and applied for over 70 IPs and patents, with 30 authorized by the Chinese government. He has long been a reviewer of top journals and conference proceedings. After joining Wuhan University, Prof. Yao has established the WHU-CVRS Lab, which now consists of four advisors, one postdoctoral fellows, 30 PhDs and master students.

Prof. Hui Liu

Kunming University of Science and Technology, China

Biography: Hui Liu, Ph.D., Professor, Master's Supervisor, Member of the Jiusan Society, Visiting Scholar at the University of Ottawa in Canada, Young Talent under Yunnan Province’s "Xingdian Talent Support Program," Leader of the first batch of national-level top-notch courses, Peer Review Expert of the National Natural Science Foundation of China, Senior Member of the China Computer Federation, Expert in the National Postgraduate Education Evaluation and Monitoring Expert Database, University-level Teaching Excellence Awardee at Kunming University of Science and Technology. He serves as a Youth Editorial Board Member for journals like "Metallurgical Automation" and "Journal of Iron and Steel Research," and as a reviewer for journals such as "Systems Engineering and Electronic Engineering" and "Optical Engineering." His main research areas include machine learning, soft sensing, and image recognition theory and applications. He has led two projects funded by the National Natural Science Foundation of China and one general project by the Yunnan Science and Technology Department. He has published over thirty academic papers in journals such as "Computers & Chemical Engineering," "Chemometrics and Intelligent Laboratory Systems," "IET Image Processing," and "Systems Engineering and Electronic Engineering." In teaching, he has led five teaching reform projects, including the construction of national-level top-notch courses and high-quality graduate courses in Yunnan Province. He has won numerous teaching awards, including First Prize in the National Finals of the Electronic Information Class Young Teachers' Teaching Competition, Education Ministry's Online Education "Star of Smart Teaching," and First Prize in the National UOOC Alliance's Outstanding Blended Teaching Cases, with a total of eight awards. The MOOC "Introduction to Intelligent Control" that he developed is available on platforms such as Xuexi Qiangguo, China University MOOC, XuetangX (both in Chinese and in English), Smart Tree, Xuetang Online, and Youke Alliance.