In its continued commitment to fostering interdisciplinary learning and research, and to cultivating future leaders in science and engineering with global perspectives, the Faculty of Innovation Engineering at Macau University of Science and Technology held the third lecture of its 2025 Fall Interdisciplinary Science and Engineering (ISE) Lecture Series. This session took place on Thursday, November 6, 2025 at the MUST LIU's Innovation and Technology Center. The lecture featured Distinguished Speaker Professor Tian Yu Ping, School of Information and Electrical Engineering at Hangzhou City University, who delivered a presentation titled "Multi-agent Collaborative Estimation and Learning."
Group photo of participants
The lecture was organized by the Faculty of Innovation Engineering and attracted active participation from faculty, students, and researchers both within and outside the Faculty. The lecture was hosted by Chair Professor Li Zhi Wu, Assistant Dean of Faculty of Innovation Engineering. The attending guests included Chair Professor Wu Nai Qi, Head of Department of Engineering Science, Associate Professor Gao Kai Zhou, and Assistant Professor Yin Li from Department of Engineering Science. In addition, FIE graduate students, postdoctoral researchers, and individuals interested in engineering science attended the lecture.
Professor Tian Yu Ping was delivering the lecture
In the lecture, Professor Tian Yu Ping started from the feedback structure of machine learning, and he reviewed the basic framework and algorithm essence of estimation and learning methods such as minimum variance estimation, online convex optimization, and reinforcement learning. It analyzed some of the problems that may be encountered in the development process from single agent systems to multi-agent systems, and from centralized algorithms to distributed algorithms, and explored the application of distributed estimation and learning methods in multi-agent cooperative positioning, cluster scheduling, and other problems.
Chair Professor Li Zhi Wu presented a souvenir to Professor Tian Yu Ping
This lecture provided participants with a valuable opportunity to gain in-depth understanding of multi-agent cooperative positioning and cluster scheduling, further enriching the interdisciplinary knowledge and research perspectives of both faculty and students. The Faculty of Innovation Engineering will continue to build high-level academic exchange platforms through its series of lectures, fostering interdisciplinary integration and advancing technological innovation.
