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学术报告第201970期

发布时间:2019-11-01 编辑:张惠兰 来源:科研

报告题目Simplexity-Oriented Problem Solving in Complex Cyber-Physical-Social Systems

报 告 人: Xinghuo Yu教授, Royal Melbourne Institute of Technology, Australia

报告时间:201911714:00

报告地点:南一楼中311

摘要:Cyber-Physical-Social Systems (CPSS) represent a broad range of future complex, multidisciplinary, physically and societally aware next-generation engineered systems that integrate embedded computing technologies (cyber part) into the physical world taking social and human considerations. A typical scenario is the future CPSS in Energy where smart grids integrate with social, economic and environmental models to form an energy eco-system that is vital to the future of industry, economy, society and nature. Such setting results in enormously increased complexity which requires an innovative way of thinking in dealing with their modelling, control and optimisation with efficiency and effectiveness.

In this talk, we will first outline some recent developments in CPSS and their technological challenges. We will then discuss a potential ‘simplexity’ problem solving paradigm which advocates simple solutions for complex problems. The implications of adopting such paradigm in dealing with complexity in CPSS will be discussed, and some potential future methodologies inspired by nature will be speculated. Real-world cases, including some of our own research, will be used as case studies.

报告人简介:Professor Xinghuo Yu is an Associate Deputy Vice-Chancellor and Distinguished Professor of Information Systems Engineering at Royal Melbourne Institute of Technology (RMIT University), Melbourne, Australia. He is also the President of IEEE Industrial Electronics Society, and a Chang Jiang Chair Professor with Southeast University.

He received BEng and MEng degrees from the University of Science and Technology of China, Hefei, China, in 1982 and 1984, and PhD degree from Southeast University, Nanjing, China in 1988, respectively. In 1989-1991, he was a Postdoctoral Fellow with University of Adelaide, Australia. In 1991-2002, he was Central Queensland University, Australia, where, before he left, he was Chair Professor of Intelligent Systems. Since 2002, he has been with RMIT University, where he held several senior managerial positions such as Associate Dean and Research Institute Director.

His main research areas include control systems, intelligent and complex systems, energy systems engineering. He received many awards and honours for his contributions, including 2018 M A Sargent Medal from Engineers Australia, 2018 Australasian AI Distinguished Research Contribution Award from Australian Computer Society, and 2013 Dr.-Ing. Eugene Mittelmann Achievement Award from IEEE Industrial Electronics Society. He is a Fellow of the IEEE, Engineers Australia, Australian Computer Society, and Australian Institute of Company Directors.