C. L. Philip CHEN 陳俊龍
Chair Professor and Former Dean (2010-2017)
IEEE Fellow, AAAS Fellow, IAPR Fellow, CAA Fellow, HKIE Fellow, IASCYS Academician
Member of Academia Europaea (歐洲科學院院士)
Member of European Academy of Sciences and Arts (歐洲科學與藝術院 院士)
Past President, IEEE Systems, Man, and Cybernetics Society (2012-2013), http://www.ieeesmc.org/about-smcs/governance
Editor-in-Chief, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2014 – , http://www.ieeesmc.org/publications/transactions-on-smc-systems
國家特聘專家
Vice President, Chinese Association of Automation, http://www.caa.org.cn/
(中國自動化學會 副理事長)
Vice President, Macao Association for Promotion of Science and Technology
(澳門科學技術協進會 副會長)
Zhulin Liu received the Bachelor degree in Mathematics from Shandong University, Shandong, China in 2009 and the M.S. degree in Mathematics from the University of Macau, Macao, Macao, China in 2011. Currently, she is a Ph.D. Student of the Faculty of Science and Technology, University of Macau, Macau, China, and her research area is in computational intelligence, matching learning, and function approximation.
Shuang Feng received the B.S. degree in mathematics and M.S. degree in applied mathematics from Beijing Normal University, Beijing, China, in 2005 and 2008 respectively.He received the Ph.D. degree in computer science from the University of Macau, Macau, China in 2019.
He is now working as an associate professor with the School of Applied Mathematics, Beijing Normal University, Zhuhai, China. His research interests focus on fuzzy systems, fuzzy neural networks and their applications in computational intelligence.
Junwei Jin received the B.S. degree from the Ningxia University, Ningxia, China in 2013 and the M.S. and Ph.D degree from the University of Macau, Macau, China in 2015 and 2019, re- spectively. Since May, 2019, He has been an assistant professor with the School of Informa- tion Science and Engineering, Henan Universi- ty of Technology. His current research interests include machine learning, computer vision and neural networks.