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Zhi-Hui Zhan 詹志辉，Apollo IEEE Fellow(国际电气与电子工程师协会，会士), AAIA Fellow(亚太人工智能学会，会士) Distinguished Member, CCF Senior Member, CAAI Member, ACM/CAA/CGN |
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Dr. Zhi-Hui Zhan received the Bachelor’s degree and the Ph. D. degree in Computer Science from Sun Yat-Sen University (SYSU), Guangzhou, P. R. China in 2007 and in 2013, respectively. He was a Lecture with the School of Information Science and Techonlogy, SYSU, from 2013-2014, was an Associate Professor with the School of Advanced Computing, SYSU, from 2014-2015, since 2016 is a Professor with the School of Computer Science and Engineering, South China University of Technology (SCUT), and since 2024 is a Professor with the College of Artificial Intelligence, Nankai University (NKU).
His current research interests include artifical intelligence, computational intelligence, evolutionary computation, and swarm intelligence, especially the particle swarm optimization, genetic algorithm, ant colony optimization, differential evolution, and other optimization algorithms and their applications. He has published over 260 papers in international journals and conference proceedings, including more than 90 IEEE Transactions papers, and more than 20 of them are the Essential Science Indicator (ESI) Hot Paper and Highly Cited Paper. The “Adaptive Particle Swarm Optimization (APSO)”, the “Orthogonal Learning Particle Swarm Optimization (OLPSO)”, the “Multiple Populations for Multiple Objectives (MPMO)”, and some others are all listed as the Research Fronts of ESI. His published papers have been cited over 17000 times by the scholars all over the world, according to Google Scholar or Google Scholar (for Chinese), and over 10000 times in Web of Science.
Prof. Zhan is an IEEE Fellow. and an AAIA Fellow. He was a recipient of the IEEE Computational Intelligence Society (CIS) Outstanding Early Career Award in 2021, the Outstanding Youth Science Foundation from National Natural Science Foundations of China (NSFC) in 2018, and the Wu Wen-Jun Artificial Intelligence Excellent Youth from the Chinese Association for Artificial Intelligence in 2017. His doctoral dissertation was awarded the IEEE CIS Outstanding Ph. D. Dissertation in 2018, the China Computer Federation (CCF) Outstanding Ph. D. Dissertation in 2013, and Guangdong Province Outstanding Dissertation in 2014. He is the Changjiang Scholar Young Professor and the Pearl River Scholar Young Professor. Prof. Zhan is listed as the Highly Cited Researcher by Clarivate Analytics, the World’s Top 2% Scientists for both Career-Long Impact and Year Impact in Artificial Intelligence, the World's Top 0.05% Highly Ranked Scholars by ScholarGPS and the Elsevier Most Cited Chinese Researchers in Computer Science.
He is currently the Chair of Membership Development Committee in IEEE Guangzhou Section and the Vice-Chair of IEEE CIS Guangzhou Chapter. He serves as an Associate Editor of the IEEE Transactions on Evolutionary Computation (SCI, JCR-Q1, IF=16.497), the IEEE Transactions on Emerging Topics in Computational Intelligence (SCI, JCR-Q1, IF=5.300), the IEEE Transactions on Systems, Man, and Cybernetics: Systems, the IEEE Transactions on Artificial Intelligence, the Neurocomputing (SCI, JCR-Q1, IF=5.779), the Memetic Computing (SCI, JCR-Q1, IF=3.577), the Machine Intelligence Research (MIR), and the International Journal of Swarm Intelligence Research (ESCI). He is the Lead Guest Editor of "Trustworthy Machine Learning for Behavioural and Social Computing" in the CAAI Transactions on Intelligence Technology and "Advances in Nature-inspired Algorithms and Applicatioins" in the International Journal of Swarm Intelligence Research. He is the regular reviewer of more than 20 IEEE Transactions journals like IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, TNNLS, TSMCS, TAI, TETCI, TPAMI, TITS, TPDS, TIE, TII, and TSC, and many other SCI international journals like IEEE Computational Intelligence Magazine, Neurocomputing, Information Sciences, Knowledge-based Systems, Journal of Scheduling, Soft Computing, Natural Computing, and Memetic Computing, and many Chinese journals. He is the Pragram Chair of The 2023 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023), The 15th International Conference on Information Science and Technology (ICIST 2025), The 11th International Conference on Machine Intelligence Theory and Applications (MiTA 2024), The 12th International Conference on Information Science and Technology (ICIST 2022), The 19th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2022), and The 13th、11th International Conference on Advanced Computational Intelligence (ICACI 2021、ICACI 2019), the Publication Chair of The 4th International Conference on Control and Robotics (ICCR 2022), the Publicity Chair of the 9th International Conference on Behavioral and Social Computing (BESC 2022), the 9th International Conference on Intelligent Control and Information Processing (ICICIP 2018), and the 13th Int. Conf. Bio-inspired Computing: Theories and Appl. (BIC-TA 2018), the Speical Sessions Chair of The 15th International Conference on Advanced Computational Intelligence (ICACI 2023), The 17th Int. Conf. Intelligent Control and Information Processing (ICICIP 2021), The 17th Int. Conf. Intelligent Control and Information Processing (ICICIP 2021), The 25th Int. Conf. Neural Information Processing (ICONIP 2018), and The 7th International Conference on Information Science and Technology (ICIST 2017), and the Program Committee (PC) Member of many international conferences like ICSI 2023/2022/2021, SSCI 2019/2016, GECCO 2023/2022/2020, ANTS 2022/2020, SocialSec2022, SSCI 2019, SSCI 2017, AAAI 2017, ICSI 2016, TAAI 2015，SMCE 2015, ICSI 2015, BRCIS-CCI'2015, ICSI 2014, APSCC 2014, TAAI 2014, TAEA 2013, and CCML 2015, CCDM 2014/2011, the Special Session Organizer of “Brain Storm Optimization and Its Applications” of the 2014 IEEE World Congress on Computational Intelligence (WCCI 2014)，on “Neural Networks: Model and Application in Real World Problems” and “Interactive Computational Intelligence for Industry 4.0” in the WCCI 2016, of “Distributed Evolutionary Computation and Its Applications” in the 2019 IEEE Congress on Evolutionary Computation (CEC 2019), of “Learning-aided Evolutionary Computation: Principles, Algorithms, and Applications” and “Neural Architecture Search: A Deep Evolutionary Optimization Perspective” in the CEC 2025.
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