Dependability is a concept that has been around for a few decades. As systems are now more and more complex, especially with the development of AI and data science, the concept has thus become more ambiguous. Furthermore, many such systems are for safety-critical operation. More research is needed to enhance system reliability and safety by incorporating proper maintenance strategies. In this talk, we will explore several challenges related to dependability from both analytical and management decision-making perspectives. We will present our previous and ongoing research aimed at enhancing system modeling and reliability analysis for intelligent systems.
Member of European Academy of Sciences and Arts
IEEE Fellow and IISE Fellow
City University of Hong Kong, China
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.
