 | Prof. Yajun LiuSouth China University of Technology, ChinaDoctor of Engineering, Professor, School of Mechanical and Automotive Engineering, South China University of Technology. His research areas include signal testing, analysis, characterization, control, and performance optimization of mechanical systems; mechanisms and optimal control technologies of manufacturing processes; intelligent manufacturing processes and equipment. His application fields cover mechanical manufacturing technologies and equipment. He has published over 270 papers in professional journals and international conferences in the fields of mechanical process mechanics, signal system process mechanisms, and optimal control research; more than 10 papers on scientific teaching research; and has been granted over 40 national invention patents. He was a principal drafter of the national standard "General Technical Requirements for Digital Workshops" (GB/T 37393-2019) and a main contributor to the "Report on the Development of Automation Discipline in China: Intelligent Manufacturing." He has been granted more than 20 national invention patents. |
 | Prof. Hui YiNanjing Tech University, ChinaYi Hui, Professor, was born in September 1984. He received his bachelor’s, master’s, and doctoral degrees from the College of Automation, Nanjing University of Aeronautics and Astronautics, and conducted visiting research at the School of Engineering, The Hong Kong University of Science and Technology from December 2015 to December 2016. Since March 2012, he has been a faculty member at the College of Electrical Engineering and Control Science (formerly the College of Automation), Nanjing Tech University. He currently serves as Deputy Secretary-General of the Intelligent Inspection and Motion Control Technology Committee of the Chinese Association for Artificial Intelligence and is a member of IEEE. His main research interests include data-driven fault diagnosis, artificial intelligence-based intelligent control systems for flue gas denitrification in thermal power plants (smart ammonia injection systems), machine vision for industrial inspection, and digital/intelligent transformation and upgrading of enterprises. He has long been engaged in research on fault diagnosis and decision optimization using AI technologies in the chemical, power, and cement industries. To date, he has published about 40 SCI/EI papers and applied for 12 invention patents, of which 4 have been granted. He has led one sub-project of the National Key R&D Program, one project each funded by the National Natural Science Foundation of China, the Jiangsu Natural Science Foundation, and the Jiangsu Higher Education Institutions Natural Science Foundation, and has participated in multiple other projects. In addition, he has chaired the drafting of one local environmental protection standard in Jiangsu Province and the Guiyang City digital economy development plan for Liupanshui, Guizhou (2017–2020), as well as several commissioned R&D projects from enterprises and public institutions. |