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Quan Bai is a senior lecturer at the School of Computing and Mathematical Sciences, Auckland University of Technology, New Zealand. Dr Quan Bai received his PhD (2007) and MSc (2002) from the University of Wollongong, Australia, and graduated with double bachelor’s degree (2002) from Tianjin University, China. After he received his PhD, Quan worked as a postdoctoral research follow for the University of Wollongong (2007-2009), and for the Commonwealth Scientific and Industrial Research Organization (CSIRO) (2009-2011). Quan’s research interests are mainly focused on intelligent systems, knowledge discovery and crowd intelligence. He has published more than 90 papers in related fields.
Fenghui Ren is a lecturer at the School of Computing and Information Technology, the University of Wollongong, Australia. He received his PhD (2010) from the University of Wollongong, Australia. Between 2010 and 2016, he worked on several projects related to agent-based complex systems modelling and simulation in the University of Wollongong as an ARC postdoctoral fellow, an Vice Chancellor’s Postdoctoral Fellow, and an ARC DECRA Fellow, respectively. From 2017, he became a formal lecturer. His research interests include intelligent systems, agent and multi-agent systems, data mining and knowledge discovery, and smart grid. Dr. Ren is an active researcher and published more than 50 papers.
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Bai, Q., Ren, F. Editorial Special Issue on Agent-Based Modelling for Complex Systems. J. Syst. Sci. Syst. Eng. 27, 130–133 (2018). https://doi.org/10.1007/s11518-018-5370-z
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DOI: https://doi.org/10.1007/s11518-018-5370-z