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2026年1月14日CNERC-Rail学术研讨会:意大利都灵理工大学 Giuseppe Lacidogna 教授

2026年1月14日上午，香港理工大学国家轨道交通电气化与自动化工程技术研究中心（香港分中心）成功举办了主题为“Eco-Friendly and Self-Healing Construction Materials: Mechanical Testing and Acoustic Emission Analysis”的学术研讨会。本次研讨会特邀意大利都灵理工大学 Giuseppe Lacidogna 教授担任主讲，系统介绍了环保自愈型建筑材料的最新研究进展、声学发射（AE）在无损检测中的关键作用，以及工业废胶、陶瓷废料和火山灰等废弃物在水泥基与碱激发材料中的高值化利用路径。 活动现场，Lacidogna 教授进一步分享了基于 AE 的裂缝机理识别、自愈胶囊修复效率评估及碳纤维复合材料热修复多技术联合监测案例，展示了从实验室配比到实际构件性能验证的全链条研究范式，引发了在场师生的热烈讨论。本次讲座为绿色建材与结构健康监测领域学者提供了宝贵的学术交流平台，获得了与会者的一致好评。

理大首办科技成果转化大会暨技术创新研究院首届年度交流会 15所内地研究院及研究中心齐聚晋江 共筑创新创业生态圈

12月3日 浙江宁波：建筑材料行业科技创新大会获奖

第二届轨道交通结构健康监测国际创新大赛

浙江省台州市政协代表团及香港台州籍企业家访问香港理工大学CNERC-Rail中心

倪一清教授荣获理大「2024年度专利申请优秀奖」

2025年8月26日第二届沿海城市智能式热带风暴减灾系统国际研讨会圆满成功，为未来城市韧性建设铺平道路

2025年6月10日 《21世纪经济报道》专访香港理工大学倪一清教授：AI 赋能高速铁路和磁悬浮安全监控

Prof. Yi-Qing Ni from the Hong Kong Polytechnic University has made remarkable achievcmtats in the field of structural health monitoring. The fiber Bragg grating sensors developed by his team have been applied to major railway lines such as the Beijing-Shanghai High-Speed Rail and the Lanzhou-Xinjiang Railway. This technology enables real-time monitoring of key indicators such as wheel flats and track deformation, thereby significantly enhancing the safety and operational efficiency of  high-speed rail services. In 2016, this technology was successfully used in the Singapore MRT and for monitoring structural components of train cars. Line 4 of the Rio Olympic Metro, The total length of tracks under monitoring reach 500 kilometers. Prof. Yi-Qing Ni has also led his team in establishing an object detection system based on images and LiDAR technology, which can accurately identify objects on railway tracks for ensuring the safe operation of trains. The AI-powered intelligent monitoring cloud platform developed by his team allows maintenance personnel to monitor train operation data in real time and to optimize the central control system. This platform has been implemented in the railway networks in Singapore and Hong Kong, as well as Chinese Mainland high-speed rail lines. In the realm of railway noise control, the acoustic metamaterial sound-absorbing barriers and intelligent particle dampers developed by Prof. Ni's team can effectively mitigate the noise generated by rail transit, thereby enhancing passenger comfort. These technologies are currently undergoing testing and trial application in the Hong Kong and Shenzhen MTR. Furthermore, Prof. Ni has been actively promoting the integration of smart materials and AI. The self-sensing concrete he developed is currently undergoing application tests in collaboration with the Shanghai Railway Bureau. He is leading the project "INTACT: Intelligent Tropical Storm Disaster Mitigation System for Coastal Cities" which adopts LiDAR wind measurement technology as the core, for quantitative prediction of the potential destructive force of typhoons on buildings with a view to formulating solution for coping with extreme storms in coastal cities. Prof, Ni stresses the significance of cultivating interdisciplinary talents and recommends civil engineering students learning advanced technologies such as artificial intelligence to better adapt to the future development of the industry.  

2025年6月6日中国中车代表团访问香港理工大学

On 6 June, 2025, a delegation from CRRC Corporation, comprising Mr. Yang Mingming (Deputy Director of CRRC Science and Technology Department), Mr. Zhao Mingyuan (Deputy Director of CRRC Research Institute), Mr. Liu Baibo (Deputy Director of Technology Department, CRRC Research Institute), and Mr. Zhao Jinfeng (General Manager of CRRC Sifang Hong Kong Branch), visited the CNERC-Rail Centre at The Hong Kong Polytechnic University. Prof. Yi-Qing Ni, Dr. You-Wu Wang (Senior Research Fellow), Dr. Si-Qi Ding (Research Assistant Professor), Dr. Vincent Wai Kei Ao (Research Assistant Professor), and Dr. Wen-Qiang Liu (Research Fellow) warmly received the delegation and gave an introduction of the Centre's cutting-edge research projects and achievements together with development directions in railway related fields. The visiting delegation highly praised the Centre's research capabilities and achievements They expressed strong interest in further cooperation and exchange with the Centre's research teams.

2025年5月21日CNERC-Rail学术研讨会：东南大学杨军教授

On May 21, 2025, from 1:45 pm to 2:45 pm, a research seminar entitled “Safety-Critical Control Under Disturbances: Foundation, Method and Robotic Application” was successfully held by CNERC-Rail in Room Z209, The Hong Kong Polytechnic University. Prof. Jun Yang, from Southeast University, gave a presentation in the seminar. Prof. Jun Yang, a distinguished academician in control systems, robotics, and automation, presented his latest research on safety-critical control for robotics and autonomous systems. His research findings demonstrate the importance of formal methods in ensuring the safety and reliability of control systems, especially under disturbances. He provided an inspiring tutorial on control barrier function (CBF)-based control approaches and introduced on emerging methods for safety-critical disturbance rejection control, with applications in interactive robotics and autonomous cranes for terminal port automation.