【报告摘要】 System reliability has always been of great importance for complex system.  Although research has been going on for decades, there are many new issues and challenges as technology is developing rapidly and systems have become more complex and dynamic. In this talk, we will review the history of reliability research from a personal perspective, and discuss some current and future research issues, especially regarding systems that incorporate artificial intelligence and machine learning approaches. It will argue that a system engineering approach, together with statistical thinking, will help make better use of data in a more efficient way, especially for different real-world applications. 

【报告人简介】 Min Xie entered USTC in 1978 and got an opportunity in 1979 to move to Sweden to complete his undergraduate study. He received a MSc from Royal Inst of Technology in 1984 and later a PhD from Linkoping Univ, Sweden, in 1987. He joined the National Univ of Singapore in 1991 as one of the first recipients of the prestigious Lee Kuan Yew Research Fellowship, and late became a full professor in 2005. In May 2011, Prof Xie moved to City University of Hong Kong as Chair professor of industrial engineering.  Prof Xie has carried out extensive research in reliability, quality control and industrial statistics. He has published over 300 journal papers and 10 books. He has advised over 60 PhD students, now working in industry or academia in different continents. Prof Xie has been editor, associate editor or on the editorial board of over 10 leading international journals. Prof Xie was elected fellow of IEEE in 2005, elected member of ISI in 2010, and recently elected to European Academy of Sciences and Arts.