
Min Xie
Chair Professor of Industrial Engineering, City University of Hong Kong, Hong Kong SAR Fellow of IEEE and IISE, Member of European Academy of Sciences and Arts
Short bio
Min Xie has been a Chair Professor of Industrial Engineering at City University of Hong Kong since 2011. He entered USTC in China in 1978, and went to Sweden in 1979 to complete his undergraduate studies at the Royal Institute of Technology. He later earned his PhD in Quality Technology from Linkoping University in 1987. He was with the National University of Singapore from 1991 until 2011. Professor Xie has conducted extensive research in reliability and safety engineering focusing on general complex systems, and completed many projects, including a large scale maritime transportation safety research project funded under Singapore-Poland collaboration scheme. Prof Xie has published over 400 journal papers and 10 books, is also a Clarivate Highly Cited Researchers 2025. He has mentored about 80 PhD students who now excel in industry and academia across continents. Prof Xie is a fellow of IEEE, elected to European Academy of Sciences and Arts and currently also chairs the Fellow Evaluation Committee of IEEE Systems Council.
Title
Safety and Reliability of Intelligent and Autonomous Systems – some challenges and research issues
Abstract
Maritime transportation systems are becoming increasingly intelligent. That brings many new challenges—particularly from a safety and reliability point of view. Beyond traditional safety engineering and system-reliability issues, we must also address maritime-specific issues such as sensor degradation in harsh sea environments, data-quality problems from intermittent communications, and the operational performance of learning algorithms under varying weather, traffic and cargo conditions. Explainability, scalability, and robust adaptation of AI models are also critical for decision making related to autonomous ships, smart ports, etc. For AI-assisted systems, socio-technical factors and human–AI interaction are also important. Regulatory further complicate system modelling, verification and certification. This talk will examine these challenges and discuss some possible solutions and directions for future research issues.



