Prof. Badong Chen,  Xi'an Jiaotong University, China

Badong Chen received the B.S. and M.S. degrees in control theory and engineering from Chongqing University, in 1997 and 2003, respectively, and the Ph.D. degree in computer science and technology from Tsinghua University in 2008. He was a Postdoctoral Researcher with Tsinghua University from 2008 to 2010, and a Postdoctoral Associate at the University of Florida Computational NeuroEngineering Laboratory (CNEL) during the period October, 2010 to September, 2012. In 2015, he visited the Nanyang Technological University (NTU) as a visiting research scientist. He also served as a senior research fellow with The Hong Kong Polytechnic University in 2017. Currently he is a professor at the Institute of Artificial Intelligence and Robotics (IAIR), Xi’an Jiaotong University. His research interests are in signal processing, machine learning, artificial intelligence, neural engineering and robotics. He has published 6 books, 5 chapters, and over 300 papers in various journals and conference proceedings. Dr. Chen is an IEEE Senior Member and serves (or has served) as a Technical Committee Member of IEEE SPS Machine Learning for Signal Processing (MLSP), and a Technical Committee Member of IEEE CIS Cognitive and Developmental Systems (CDS), and an Associate Editor (or Editor Board Member) for several international journals including  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Cognitive and Developmental Systems (TCDS), Neural Networks, Journal of The Franklin Institute, and Entropy.

Prof. Simon X. Yang, University of Guelph, Canada

Simon X. Yang received the B.Sc. degree in Engineering Physics from Peking University, Beijing, China, the first of two M.Sc. degrees in Biophysics from the Chinese Academy of Sciences, Beijing, the second M.Sc. degree in Electrical Engineering from the University of Houston, Houston, TX, and the Ph.D. degree in Electrical and Computer Engineering from the University of Alberta, Edmonton, AB, Canada. Dr. Yang is currently a Professor and the Head of the Advanced Robotics and Intelligent Systems Laboratory at the University of Guelph, Guelph, ON, Canada.

Prof. Yang’s research interests include robotics, intelligent systems, control systems, sensors and multi-sensor fusion, wireless sensor networks, bio-inspired intelligence, neural networks, machine learning, fuzzy systems, evolutionary computation, intelligent agriculture, intelligent communications, intelligent transportation, and computational neuroscience. Prof. Yang has been very active in professional activities. He has been served as the Editor-in-Chief and Associate Editor of several international journals, and has involved in the organization of many international conferences. He was on the grant review panel of NSERC, CIHR and several other grant agencies.

Prof. Philippe Fournier-Viger,  Shenzhen University, China

Philippe Fournier-Viger (Ph.D) is distinguished professor at Shenzhen University (China). Five years after completing his Ph.D., he came to China in 2015 and became full professor after receiving an important talent title from the National Science Foundation of China. He has published 415 research papers related to data mining algorithms for complex data (sequences, graphs), intelligent systems and applications, which have received more than 15,000 citations (H-Index 63 - Google Scholar). He is the founder of the popular SPMF data mining library, offering more than 250 algorithms to find patterns in data, cited in more than 1,000 research papers. He is former associate editor-in-chief of the Applied Intelligence journal and has been keynote speaker for over 50 international conferences and co-edited four books for Springer. He appears in the top 2% of researchers for scientific influence in the Stanford list, and is a Elsevier «Highly Cited Chinese Researcher» (2022). Website: http://www.philippe-fournier-viger.com.