The research jointly conducted by Lingnan’s President S. Joe Qin and the Northeastern University team has been awarded the second prize of Liaoning Provincial Science and Technology Award.
Breaking traditional boundaries: Innovative theories and methods for data monitoring
Traditional industrial monitoring systems face numerous challenges, including a wide variety of data types, inconsistent quality, rapidly changing system status, and difficulties in the immediate detection abnormalities. Supported by the Major Programme of the National Natural Science Foundation of China (NSFC), Prof Qin and the research team conducted in-depth systematic studies on data monitoring challenges in key national areas such as intelligent manufacturing. The study revealed, in an innovatively way, the spatial structure and geometric properties of traditional data monitoring models. Based on these research findings, the team proposed a novel algorithm, “Dual time-scale hierarchical joint monitoring theory and method”, which enables rapid analysis and early warning of traditional data monitoring models, thereby enhancing the flexibility and accuracy of monitoring.
These research breakthroughs not only support AI-driven automation research but also promote the development of control science and engineering disciplines. They provide essential guarantees for the safe and reliable operation of industrial systems, helping enterprises make quicker and more effective decisions in complex environments. Related research findings have been published in prestigious international journals, including IEEE Transactions on Industrial Informatics and IEEE Transactions on Automation Science and Engineering (T-ASE).
Industry-academia integration: Promoting the application of big data and AI technologies in industrial scenarios
Prof Qin said, “It is an honour to collaborate with the esteemed research team from Northeastern University on this groundbreaking project. This achievement stands as a testament to the collective intelligence and dedication of our team. This recognition not only affirms our research outcomes but also highlights the important role of data science in improving industrial artificial intelligence. Moving forward, the University will continue to promote in-depth integration of AI technology with the real economy, contributing to the progress of intelligent manufacturing and promoting sustainable development.”
President Qin, an internationally renowned data scientist with expertise in automation and engineering systems, is committed to advancing the application of big data and AI in the industrial sector. He is the recipient of the prestigious IEEE Control Systems Society Transition to Practice Award, which recognises his outstanding contributions to promoting scientific collaboration and interaction between industry, research laboratories, and academia. He is the only recipient of this top international award from the Greater China region.
