Joint student-faculty research guided by President S. Joe Qin wins IEEE Fellowship
President S. Joe Qin (right) of Lingnan University, and City University of Hong Kong fourth-year PhD student Yu Jiaxin’s (left) research paper was presented at the IEEE Conference.
On 18 December 2024, Prof S. Joe Qin, President of Lingnan University, and his mentee Yu Jiaxin were awarded the prestigious IEEE Control Systems Society (CSS) Graduate Collaboration Fellowship for their scientific research on decarbonisation at the CSS Awards Ceremony, held at the Annual Conference on Decision and Control.
Yu, a fourth-year PhD student at City University of Hong Kong, is one of only ten fellowship recipients worldwide this year. Each will receive a plaque and a maximum of US$10,000 (HK$78,000) from the CSS Fund of the IEEE Foundation.
The fellowship, created in 2022, encourages and offers assistance in launching joint research with a hosting faculty member from leading institutions in Systems and Control, enabling outstanding graduate students from developing regions to visit and collaborate with top-tier institutions abroad.
As global endeavours toward decarbonisation intensify, modelling and monitoring complex processes and their emissions have become increasingly important. The winning research project focuses on developing dynamic process models to advance the predictability and efficiency of process monitoring strategies, thereby improving the decarbonisation of industrial processes with environmental protection solutions.
“In the ever-evolving global landscape, this award is a testament of the global competitiveness of the research leadership of the higher education in Hong Kong,” said President Qin, Wai Kee Kau Chair Professor of Data Science. He acknowledged this honour as a testament to Lingnan University’s enhanced capacity to educating young scientists.
He also emphasised Lingnan’s established excellence in arts and sciences, and the importance of fostering partnerships and collaborative research across different institutions and fields to drive more cutting-edge research in diverse areas in the digital era.
Yu expressed his deep gratitude to Prof Qin for his visionary guidance, which provided him with the topics of his research in “dynamic process system modelling and its applications in prediction, monitoring, and control” from the very beginning of his PhD studies.
“Prof Qin’s profound expertise in data science and control systems, and his professional mentorship and advice have shaped my academic and personal growth. His pioneering contributions to the fields of data science and control systems serve as a constant source of inspiration, motivating me to pursue excellence,” Yu said, adding that he hopes his knowledge of dynamic process modelling will help to address the most pressing environmental problems by reducing emissions and mitigating pollution.
