BTFM 2026

Keynote speakers

Prof. Xiangyang Yu

School of Physics, State Key Laboratory of Optoelectronic Materials and Technologies, Nanchang Research Institute, Sun Yat-sen University

Professor and doctoral supervisor of the School of Physics at Sun Yat-sen University, the State Key Laboratory of Optoelectronic Materials and Technology. Vice President of Sun Yat-sen University’s Nanchang Research Institute and Director of the Center for Optoelectronic Intelligent Agents and Rapid Biochemical Testing. Also serves as the Secretary-General of the Guangdong Optical Society.

Has presided over multiple scientific research projects at the national, provincial and ministerial levels, as well as projects involving industry-university-research collaboration. Has published over 100 academic papers in important domestic and international academic journals, and obtained several invention patents. Independently authored the national-level planned textbook “Information Optics”.

Processing for optical imaging, spectral and hyperspectral technologies, intelligent on-site rapid detection technology, and intelligent sensing devices; (2) Optoelectronic information processing, blockchain technology and applications, data collection and Internet of Things technology; (3) Quantum information processing, quantum computing and quantum communication.

In recent years, efforts have been made to promote the application and industrialization of research achievements, especially in the fields of spectroscopy technology, spectral imaging, artificial intelligence, smart optoelectronics, and blockchain technology.

Prof. Ming Luo

Nanchang University

Prof. Ming Luo is an outstanding young talents in Jiangxi Province, and Jiangxi Provincial Hundred, Thousand, and Ten Thousand Talents. I have long been engaged in research and application in the fields of new network technology, cyberspace security, and cryptography. In recent years, as the primary principal, I have been responsible for two National Natural Science Foundation projects, six science and technology plan projects of the Jiangxi Provincial Science and Technology Department, six provincial-level educational reform projects, and two science and technology funding projects of the Jiangxi Provincial Education Department. Additionally, I have presided over multiple horizontal projects related to computer applications and security. I have published more than 40 papers, including more than 20 papers indexed by SCI journals, granted 5 patents, and obtained 8 software copyrights. In recent years, I have received several provincial-level and above awards, such as the Second Prize of the Provincial Science and Technology Progress Award, the Second Prize of the Provincial Teaching Achievement Award, the Excellent Paper Award at international conferences, and the Excellent Mentor Award at the National Information Security Competition.

Prof. Yunzhi Jiang

Guangdong Polytechnic Normal University

Yunzhi Jiang, PhD, Associate professor, master supervisor, received the Ph.D. degree in computer science from South China University of Technology, Guangzhou, China, in 2012. He studied in University of Technology Sydney, Australia and University of Alberta, Canada. He was invited to visit Tsinghua University in Taiwan as a senior visiting scholar. His research interests include Computational Intelligence, Image Segmentation, Data Mining, Neural Networks, Manifold Learning, Smart Learning, etc. IEEE Member, Member of China Society of Industrial and Applied Mathematics. He presided over one project of National Natural Science Foundation (youth), one project of Guangdong Provincial Education Department and one project of Overseas Master Project of Guangdong Province, and participated in many research projects of National Natural Science Foundation and Natural Science Foundation projects of Guangdong Province and Jiangxi Province. He has published more than 30 papers in international high quality academic journals and conferences, such as Journal of Computer Science, Journal of Computer-aided Design and Graphics, SCI Q1, SCI Q2.