The integration of AI and Digital Twin technologies has advanced modern reliability research by enhancing autonomy and intelligence. This presentation provides an overview of the latest AI & Digital-driven reliability researches conducted at the Reliability Comprehensive Integration Laboratory in Beihang University from four aspects, i.e. Vital Nodes Identification based on AI Agent, Urban Air Mobility Management based on AI Agent, Digital Twin for Reliability System Engineering and Reliability System Engineering for AI Systems. Specific technologies and methodologies employed in each area will be discussed through relevant case studies.

Dr. Cheng Qian received his PhD degree from Delft University of Technology in 2013, and is currently working as an Associate Professor in the School of Reliability and Systems Engineering, Beihang University. He considers himself as an experienced research scientist in reliability simulation, system reliability design and optimization, reliability digital twin, etc. He has held more than 20 national funded and industrial projects, published over 80 research papers, 3 books and 5 book chapters. He has also been active in academic activities as the associate editors and guest editors in a couple of journals, and the committee member in the reliability branch of Chinese Institute of Electronics. His interests focus on the areas including model order reduction techniques, multi-objective optimization strategy, reliability Digital Twin, etc.