Enrico Zio receives the title of Advisory Professor from Beihang University
Professor Enrico Zio, faculty member of the Department of Energy at Politecnico di Milano and member of the Laboratory of Systems Analysis for Reliability, Risk and Resilience Assessment, has recently concluded a period of academic activity in China, where he received important recognitions and shared the results of his research with the international scientific community.
During his visit, Professor Zio was appointed Advisory Professor at Beihang University in Beijingfor the three-year term 2025–2028, a testament to the prestige of Politecnico di Milano and to the strong and long-standing collaboration with the Chinese academic world. For over twenty years, Professor Zio has been working with renowned universities such as Beihang University, Harbin Engineering University, Harbin Institute of Technology, Tongji University, Tsinghua University, and Wuhan University, contributing to research that advances knowledge in the fields of complex system safety and reliability, risk management, and the resilience of critical infrastructures.
During his stay in China, Professor Zio also delivered invited keynote lectures on the topics of “Artificial Intelligence and Machine Learning for Intelligent Maintenance” and “Risk and Resilience Assessment and Management of Critical Infrastructures” at several international conferences, including:
16th IEEE Global Reliability & Prognostics and Health Management Conference (Xi’an, October 10–12, 2025), organized by the IEEE Reliability Society;
5th International Conference on Reliability Science and Engineering of Complex Systems (Beijing, October 17–18, 2025), promoted by the Chinese Institute of Command and Control (CICC) and co-organized by Beihang University.
In his presentations, Professor Zio illustrated how Artificial Intelligence and Machine Learning techniques can contribute to the evolution of intelligent maintenance in industrial systems, enhancing safety, reliability, and efficiency through real-time monitoring, probabilistic modeling, and digital data integration. He also discussed how Advanced Simulation and Optimization Methods and Digital Twins can be combined with AI and Machine Learning to enable more accurate analyses of complex systems for improved risk and resilience management.
The visit also included interviews with international media, such as one published in Science and Technology Daily.
A key message conveyed by Professor Enrico Zio regarding education is his firm encouragement to young researchers to be guided by curiosity and by the pursuit of solutions to problems with real societal impact.
