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11-13澳大利亞紐卡斯?fàn)柎髮W(xué)終身研究員Raymond Chiong博士:Agent-based modelling, machine learning, and optimisation: Industry and service-related applications

  時(shí)間:11月13日(本周三)下午3:10

  地點(diǎn):主樓429

  報(bào)告人:澳大利亞紐卡斯?fàn)柎髮W(xué)終身研究員Raymond Chiong博士

  報(bào)告內(nèi)容摘要:

  In this talk, I will discuss about my main research areas on the use of agent-based modelling, machine learning, and optimisation methods for industry and service-related applications. Specifically, I will first show how we employ agent-based modelling to study interactions in product sharing, using evolutionary game theory as the theoretical framework and sharing economy activities as an example. Next, I will discuss how machine learning and clustering models can be used for fault detection in the mining industry, based on an industry project of mine. Finally, I will describe how meta-heuristic optimisation algorithms can be used in the service industry, showing that our proposed algorithms can outperform other algorithms being compared by a large margin on dial-a ride problem instances. In addition, I will also talk about research activities carried out by my PhD students and ongoing projects I have with my international collaborators.

  報(bào)告人簡(jiǎn)介:

  Dr Raymond Chiong is a tenured academic staff member with the School of Computing and Electrical Engineering at the University of Newcastle, Australia. He is also a guest research professor with the Centre for Modern Information Management at Huazhong University of Science and Technology, Wuhan, China, and a visiting scholar with the Department of Automation, Tsinghua University, Beijing, China. His research focuses on the use of agent-based modelling, machine learning, and optimisation methods to understand and/or solve problems that cannot be easily tackled by the more traditional computational approaches. Specifically, he uses agent-based models to study the evolution of cooperation and trust; he uses machine learning methods for prediction and big data analytics; and he uses optimisation algorithms to solve large-scale production scheduling and transportation problems. He has published over 160 papers in these research areas, and is currently supervising a team of 14 PhD students. He is the Editor-in-Chief of the Journal of Systems and Information Technology (Emerald), an Editor of Engineering Applications of Artificial Intelligence (Elsevier), and an Associate Editor of the IEEE Computational Intelligence Magazine.

  (承辦:管理工程系、科研與學(xué)術(shù)交流中心)

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