On the morning of April 8, 2024, the Faculty of Data Science held a special academic lecture in HG02. This lecture invited Professor Sheng Chen from the Intelligent Systems and Signal Processing Department of the University of Southampton, UK, as a guest speaker. The lecture theme was: "Lifelong Learning Meets Industrial Processes: An Enabling Adaptive Process Modeling Framework with Delayed Process Output Measurement”. Guests attending the event also included Professor Wanlei Zhou, Vice President and Dean of the Faculty of Data Science, City University of Macau, Associate Professor Wenjian Liu, Vice Dean of the Faculty of Data Science and Professor Xin Sun.
Professor Sheng Chen is a professor of Intelligent Systems and Signal Processing in the Faculty of Electronics and Computer Science at the University of Southampton, UK. He received his PhD from City University London in 1986. In 2005, Sheng Chen was awarded a higher doctoral degree (DSc) by the University of Southampton and was promoted to professor in the same year. Professor Chen is an academician of the Royal Academy of Engineering, the Institute of Engineering and Technology, and the Institute of Electrical and Electronics Engineers. In March 2004, Professor Chen was rated as a highly cited scientist in the field of engineering by the American Institute for Scientific Information. At that time, there were less than 200 highly cited scientists in the field of engineering worldwide. Professor Chen is renowned around the world for publishing a large number of high-quality original academic results in high-impact academic journals, and many of his academic papers have far-reaching influence and are widely cited. Professor Chen has over 12,000 Web of Science citations and over 25,800 Google Scholar citations to date.
Professor Chen was selected as an academician of the Royal Academy of Engineering for his outstanding achievements in the theory of intelligent learning systems, self-adjusting signal processing theory, and the wide application of these theories in the fields of robotics, medicine, aerospace and defense, and mobile communications. Research results and international pioneering contributions. A series of research results on smart learning algorithms proposed by Professor Chen have been highly cited in the engineering field, and related papers have become top papers with groundbreaking work in the corresponding fields.
In this lecture, Professor Chen shared his cutting-edge research results in self-adjustment process modeling with the guests. He provides an in-depth discussion of the theoretical foundations, methods and applications of self-adjusting process modeling and demonstrates its importance and potential in industrial processes through practical cases. Professor Chen's speech aroused widespread interest and active discussion among the attendees. At the same time, during the lecture, the guests actively asked questions and had in-depth discussions and exchanges on the content of Professor Chen’s speech. These lively interactions not only deepened the understanding of self-adjustment process modeling but also provided new ideas and inspiration for further research in the academic community.
This lecture attracted active participation from postgraduate students in related disciplines. Through in-depth exchanges with Professor Chen and other guests, they broadened their horizons and inspired more thinking and innovation. This lecture provides a valuable communication platform for scholars in the academic community and promotes academic progress and cooperation.
