Prof Xinghuo Yu (IEEE Fellow) of RMIT, Melbourne, Australia

The ever-increasing complexity of industrial processes and the competitive marketplace demand innovative ways for performance improvement and cost reduction. There is a rapidly growing need for smart decision support in dynamic industrial environments, which is more about exploring strategies for time-critical, optimal operations, cost reduction and human performance improvement. Although there has been extensive research done in Decision Support Systems (DSS) for organizational and business information management, their roles for industrial systems have been gaining attention in recent years due to the fast developments in sensors, information technologies, and AI. Machine learning (ML) as a branch of AI has been paid particular attention due to its ability to leverage data to help understand and learn the underpinned patterns. Their increasing prominence in Data Science impacts decision-making processes supported by DSS. In this talk, we will explore several key issues concerning the interplay between DSS and ML for better decision-making in industrial systems, including what is the difference between DSS and ML? How can they support each other to bring out mutual benefits to improve decision-making? Where is the future of DSS and ML? What are the specific challenges facing industrial systems using DSS and ML? The discussions will be informed by exploiting several real-world industrial design and processing systems cases we researched before, such as aerospace engineering design, supervisory sugar processing control, and sustainable weed management.

Biography:

Xinghuo Yu is a Vice-Chancellor’s Professorial Fellow, a Distinguished Professor, and an Associate Deputy Vice-Chancellor at RMIT University (Royal Melbourne Institute of Technology), Melbourne, Australia. He was the President of IEEE Industrial Electronics Society in 2018 and 2019. 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. His main research areas include control systems engineering, intelligent and complex systems, and power and energy systems. He received many awards and honors for his contributions, including 2018 MA Sargent Medal from Engineers Australia, 2018 Australasian Al Distinguished Research Contribution Award from Australian Computer Society, and the 2013 Dr.-Ing. Eugene Mittelmann Achievement Award from IEEE Industrial Electronics Society. He has been named a Highly Cited Researcher by Clarivate Analytics for 2015-2021. He is an Honorary Fellow of the Institution of Engineers Australia, a Fellow of the IEEE, Australian Computer Society, and Australian Institute of Company Directors.

Address:Melbourne, Australia, 3000