Driven by the rapid development of AI and data science, intelligent systems are almost everywhere in industry and in our daily lives. However, as AI technologies have been integrated into many complex and safety-critical systems, the dependability of intelligent systems is a topic that should be more widely discussed. Analyzing and improving the reliability and safety of intelligent systems is not an easy task. In this talk, we will present some of our related research and discuss the problem from a system engineering perspective. Intelligent systems rely heavily on the availability of a large amount of data that may have other issues such as measurement accuracy and uncertainty such as those caused by the dependability of different sensors in addition to the changing environment in which a system might be operating. Some possible approaches to address the issues with the dependability of intelligent systems will also be presented.
Chair Professor, Department of Advanced Design and Systems Engineering
City University of Hong Kong
Fellow of IEEE
Academician of European Academy of Sciences and Arts
Min Xie has been a Chair Professor at City University of Hong Kong since 2011. He joined National University of Singapore in 1991 as one of the first recipients of the prestigious Lee Kuan Yew Research Fellowship. He holds a Ph.D. from Linkoping University, Sweden in 1987. Prof Xie has carried out extensive research in reliability, quality control, and systems engineering. He has published over 300 journal papers and 10 books, including “Software Reliability Modelling”, “Weibull Models”, “Computing System Reliability” etc. His recently co-authored book, “Cyber-Physical Distributed Systems: Modeling, Reliability Analysis and Applications”, was published by Wiley. He has advised over 60 Ph.D. students, now working in industry or academia on different continents. Prof Xie has been a fellow of IEEE since 2006 and was recently elected to European Academy of Sciences and Arts.
