2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence And Big Data Forum (AIBDF 2023)


                                                                          Keynote Speaker 1

Professor Quanxin Zhu

Hunan Normal University, China

Prof. Quanxin Zhu (M’13, SM’16) received the M.S. degree in probability and statistics from Hunan Normal University, Changsha, in 2002, and the Ph.D. degree in probability and statistics from Sun Yat-sen (Zhongshan) University, Guangzhou, China, in 2005. He is currently a Professor with Hunan Normal University, distinguished professor of Hunan Province and Leading talent of scientific and technological innovation in Hunan Province, deputy director of the Key Laboratory of computing and stochastic mathematics of the Ministry of education, and director control and optimization of complex systems of Hunan Key Laboratory of colleges and Universities. He won the Alexander von Humboldt Foundation of Germany and the Highly Cited Researcher Award by Clarivate Analytics in 2018-2021. He won First prize of Hunan Natural Science Award, and the list of two percent top scientists in the world in 2020-2022. He is an associate editor of 6 international SCI journals including IEEE Transactions on Automation Science and Engineering, Application Analysis. He is the lead guest editor of several journals, and a reviewer of more than 50 other journals. He is the author or the coauthor of more than 300 journal articles. His research interests include stochastic control, stochastic systems, stochastic stability, stochastic delayed systems, Markovian jump systems, and stochastic complex networks.



                                                                            Keynote Speaker 2

Professor Qingliang Chen

Jinan University, China

Qingliang Chen received the Ph.D. degree in computer science from Sun Yat-Sen University, China. He is currently a professor with Department of Computer Science, Jinan University and an adjunct professor with Institute for Integrated and Intelligent Systems (IIIS), Griffith University. He was a Postdoctoral Fellow with Peking University, from 2010 to 2012. His research interests are machine learning and pattern recognition, and he has published more than 30 articles in peer-reviewed international journals and conferences such as AAAI, IJCAI and ECCV, and has served as the principal investigator for three research grants from National Natural Science Foundation of China.