Keynote Speakers

Prof. Shuai Li

Beihang University, China

Title: TBD

Experience: Shuai Li, Ph.D. in Engineering, professor, doctoral supervisor, and national high-level young talent; deputy director of the Medical Simulation Committee of the China Simulation Society, deputy secretary-general of the China Virtual Reality Industry Technology Innovation Strategic Alliance, senior member of the China Computer Society, and executive director of the Beijing Computer Society; Mainly engaged in research on virtual reality, medical simulation, image intelligent analysis and processing, visual computing, etc.; in recent years, Hosted more than 10 national, provincial and ministerial projects such as the National Key R&D Program, Natural Science Foundation, Beijing Key Fund, etc., and participated as a key member in major National Natural Science Foundation projects, National Natural Science Foundation key projects, Ministry of Science and Technology Research on key field innovation team projects, major national instrument research and development projects, and various horizontal projects; relevant research results have been published in IJCV, IEEE TIP, Published more than 100 papers in academic journals and international conferences such as IEEE TVCG, IEEE VR, AAAI, NeurIPs, etc.; obtained more than 20 authorized national invention patents; won the first prize of the 2010 National Science and Technology Progress Award, the first prize of the 2020 China Electronics Society Science and Technology Progress Award, 1 first prize for the 2021 China Industry-Academic-Research Cooperation Innovation Achievements Award 2020 Shandong Province Science and Technology Progress Second Prize; won the honorary titles of 2020 China Simulation Society Outstanding Scientific and Technological Worker, 2021 Beijing University of Aeronautics and Astronautics Outstanding Doctoral Thesis Instructor.

Prof. Nianyin Zeng

Xiamen University, China

Title: TBD

Experience: Nian-Yin Zeng, PhD, is a professor and doctoral supervisor at Xiamen University. His main research interests include data intelligence analysis (modelling, learning, optimization and decision making), and AI-driven automation (AI+Aviation/Industry/Medical). He is in charge of more than 20 research projects, including the National Natural Science Foundation of China, National Major Science and Technology Special Topics, and Jieqing of Fujian Province. He has published more than 100 SCI papers, more than 20 ESI highly cited/hot papers, more than 10,000 Google citations, and 43 H-index in IEEE TNNLS, TCYB, TKDE, TII, TMI, TBME, etc. He has also edited/participated in the publication of 5 monographs, 5 textbooks/chapters, and has been authorised to obtain 18 patents and other intellectual property rights, and has been awarded 1 group standard and 2 patents for transformation. 1 group standard. He was awarded the second prize of China Invention Association, the second and third prizes of Fujian Province Natural Science, the first prize of Chongqing Natural Science, and the second prize of Xiamen Municipal Scientific and Technological Progress. He has been awarded ‘Nanqiang Young Top Talent’ by Xiamen University, ‘Top Talent of Fujian Province and Xiamen City’, ‘Key Talent of Xiamen City’, ‘Fujian Jiejun’, ‘International Scholar Exchange Fellowship’ by Korea Foundation for Higher Education, ‘Top 2% of the World's Top Scientists’, ‘Global Highly Cited Scientist’ by Corevision, etc. He serves as Associate Editor, Editorial Board Member/Young Editorial Board Member of 10 journals, including Neurocomputing, Computers in Biology and Medicine, Evolutionary Intelligence, Journal of Electronics and Information, and Chinese Journal of Image and Graphics, as well as a member of the programme committees of a number of international conferences; the Wu Wentjun Award for AI Science and Technology, the National Natural Science Foundation of China, and the National Science Foundation of China. Wu Wenjun Prize in Artificial Intelligence, National Natural Science Foundation of China (NSFC), National Science Centre of Poland (NSC), and National Agency for Research and Development (NARDA) of Chile. He serves as a liaison member of the Aero Engine Industry-Academia Consortium of the China Association for Science and Technology, a member of the Youth Working Committee of the Chinese Society for Artificial Intelligence, a member of the Special Committee on Industrial Internet of Things Technology and Application and the Popularisation Working Committee of the Chinese Society of Automation, and a member of the IEEE CIS Task Force on Big Data.

Hebei University of Technology, China

Title: TBD

Experience: 

Youxi Wu, professor, doctoral supervisor. Obtained a doctorate in engineering from Hebei University of Technology in 2007, majoring in electrical theory and new technologies. His current research directions are: data mining, intelligent computing, and machine learning; 2008.12-2018.04, Professor, School of Computer Science and Software, Hebei University of Technology. 2018.04-present, Professor, School of Artificial Intelligence and Data Science, Hebei University of Technology. Academic achievements: Senior member of the China Computer Society; member of the Chinese Society of Automation; member of IEEE; visiting scholar at the University of Vermont and Wright State University, USA (2009.8-2010.8, UVM; 2015.10-2016.10, WSU), expert on peer review letters from the National Natural Science Foundation of China, dissertation review expert at the Academic Degrees and Graduate Education Development Center of the Ministry of Education, project review expert at the Tianjin Science and Technology Commission, and project review expert at the Beijing Science and Technology Commission Member of the academic committee of the school & deputy director of the academic committee of the college. He currently hosts one National Natural Science Foundation project, and the second researcher collaborates on two National Natural Science Foundation projects, one of which is an intramural collaboration, and the other one with Dalian University of Technology. In addition, he has presided over projects such as the Hebei Provincial Natural Science Foundation Project, the Hebei Provincial Science and Technology Research and Development Guidance Program Project, and the Hebei Provincial Department of Education Key Project. His main research interests are data mining, intelligent computing (pattern matching or string matching) and machine learning.