Dayu Tan, Anhui University, China

Dayu Tan is the Associate Professor, Master’s Supervisor at the Key Laboratory of Computational Intelligence and Signal Processing (Ministry of Education), Anhui University. He received the Ph.D. degree in control science and engineering from the School of Information Science and Engineering from East China University of Science and Technology, Shanghai, China, in 2021. He was a visiting Ph.D. student of School of Engineering Practice and Technology, McMaster University, Hamilton, ON, Canada, for the period from Sep. 2019 to Oct. 2020. In September 2021, he joined the Anhui University, Hefei, China. His research interests include machine learning, computer vision, and data mining. He has been responsible for 1 project of the Youth Foundation of the National Natural Science Foundation of China, 2 provincial and ministerial-level funds, and 2 school-level talent projects. Dr. Tan has published over 30 SCI/EI academic papers in renowned international and domestic journals, including IEEE TNNLS, IEEE TCYB, IEEE TII, IEEE TETCI, IEEE TCDS, IEEE JBHI, BIB, Neurocomputing, CIS.

Kai Zhong, Anhui University, China

Kai Zhong, Ph.D., Associate Professor, and Master's Supervisor, graduated from the School of Control Science and Engineering at Dalian University of Technology in November 2020 with a Doctor of Engineering degree. In December 2020, he joined the Institute of Physical Science and Information Technology at Anhui University as a talent at the associate professor level. His primary research areas include artificial intelligence, complex system monitoring and diagnosis, deep learning methods, and their engineering applications. In recent years, he has undertaken several projects, including the National Key R&D Program for Young Scientists, the National Natural Science Foundation of China (Youth Program), the Anhui Provincial Natural Science Foundation (Youth Program), the Key Research Project of Natural Sciences for Universities in Anhui Province, the Open Project of the Key Laboratory of Computational Intelligence and Signal Processing (Ministry of Education), and multiple industry-academia collaboration projects. He has also participated in several national key projects, including the National Key R&D Program, the National Science and Technology Support Program, the Key Projects of the National Natural Science Foundation of China, and the National 863 Program. Dr. Zhong has published over 40 SCI/EI academic papers in renowned international and domestic journals, including IEEE TNNLS, IEEE TCYB, IEEE TII, IEEE TNSE, IEEE TIM, IEEE JAS, IEEE TPE, IEEE Mechatronics, IEEE TCSS, Neural Networks, Acta Automatica Sinica, and Control Theory & Applications.

Kaixun He, Shandong University of Science and Technology, China

Kaixun He is the Professor and Doctoral supervisor at the School of Electrical Engineering and Automation, Shandong University of Science and Technology. His research focuses on fault diagnosis of complex industrial processes, abnormal condition detection, and safety control; as well as intelligent environmental control and its application in modern agriculture. He obtained his doctoral degree from East China University of Science and Technology. During his postdoctoral period, he was guided by his supervisor Zhou Donghua to conduct research on fault diagnosis and abnormal condition detection in industrial processes. His related research has received 3 scientific research awards. He has been responsible for 1 project of the National Natural Science Foundation of China, 1 project of the Youth Foundation of the National Natural Science Foundation of China, 3 provincial and ministerial-level funds, and 2 school-level talent projects. As a main participant, he has also been involved in 1 project of the National Natural Science Foundation of China with key projects, and over 10 enterprise cooperation projects. He has published 30 SCI/EI papers in international important journals. He has 20 public national invention patents and 10 software copyrights registered.