Control and Decision Problems in Cyber-Physical-Social Systems
Speaker
Professor Xinghuo Yu
Royal Melbourne Institute of Technology, Melbourne, Australia
Title
"Control and Decision Problems in Cyber-Physical-Social Systems"
Abstract
The fast advances in information and communication technologies have made it possible for real-time situational awareness in complex Cyber-Physical Systems, which is critical for economical, reliable and secure operations and effective management in industrial systems and processes. However, it has led to explosive growth of spatial and temporal information and systems complexity, as well as complications caused by increasingly close collaborations between humans and intelligent machines.
In this talk, we advocate an innovative problem-solving paradigm, which embraces a philosophy of ‘simple solutions for complex problems’, to deliver just-enough, just-in-time, reliable solutions. Key to this approach is to balance problem simplification and solution accuracy. Well-known nature- inspired methodologies such as artificial intelligence, machine learning, artificial neural networks, evolutionary computation, complex networks, etc, will be examined. We will also articulate the challenges and opportunities in the increasingly complex cyber-physical-social systems across a diverse range of fields in STEM (science, technology, engineering and mathematics) and HASS (humanities, arts, and social sciences), for their future developments in Industry 5.0. Several industrial problems we have tackled will be used as case studies to inform the discussions.
About Speaker
Xinghuo Yu is an Associate Deputy Vice-Chancellor and a Distinguished Professor at RMIT University (Royal Melbourne Institute of Technology), Melbourne, Australia. He was the President of IEEE Industrial Electronics Society in 2018 and 2019. He is a Fellow of Australian Academy of Science, an Honorary Fellow of Engineers Australia, and a Fellow of the IEEE, Australian Computer Society and Australian Institute of Company Directors.
His main research areas include control systems engineering, intelligent and complex systems, and power and energy systems. He received many awards and honours for his contributions, including 2018 MA Sargent Medal from Engineers Australia and 2013 Dr.-Ing. Eugene Mittelmann Achievement Award from IEEE Industrial Electronics Society. He has been a Clarivate’s Highly Cited Researcher in Engineering since 2015.