Peiliang Wu, born in 1981, is a professor and doctoral supervisor of Yanshan University, an undergraduate doctor in computer science and technology of Yanshan University, a postdoctoral fellow in control theory and control engineering in the State Key Laboratory of Complex System Management and Control, Institute of Automation, Chinese Academy of Sciences, and a visiting scholar in the Intelligent Technology Research Center of Edinburgh Napier University, UK. Formerly a lecturer and associate professor in Geographic Information Systems at Yanshan University, currently a professor in Computer Science and Technology at Yanshan University, head of the Department of Computer Science and Engineering at Yanshan University, director of the Hebei Key Laboratory of Computer Virtual Technology and System Integration, vice dean of the Institute of Artificial Intelligence and Robotics at Yanshan University, and deputy director of the Management Committee of the "Yanshan University Zhipu AI Big Model" Joint Laboratory. He served as the standing member of the Youth Working Committee of the Chinese Artificial Intelligence Society, the standing director of Hebei Machine Learning Society, the standing director of Hebei Computer Education Research Association, and the vice chairman of Qinhuangdao ACM. Served as a reviewer for IEEE Internet of Things Journal, IEEE/CAA Journal of Automation Sina, IEEE IJCNN, PRCV, and previously served as Chair of AIoT IoE '2020 Organizing Committee, Chair of ICRAIC' 2021 Program Committee, Chair of CCF CIRAC '2021 Program Committee, Chair of CCKS2022 Organizing Committee, and Chair of ICICIC2024 Organizing Committee.

Engaged in long-term research in related fields such as artificial intelligence, machine learning, service robots, embodied large model, multi-agent systems, geographic information systems, embedded intelligent systems, etc. Published over 60 academic papers in well-known domestic and international academic journals and conferences such as IEEE Transactions on Industrial Informatics, Pattern Recognition, IEEE Robotics and Automation Letters, including over 50 SCI and EI indexed papers, and won the ICDIS 2022 Best Application Paper Award and ICICIC 2022 Best Presentation Paper Award, Published 2 monographs. In addition, the artificial intelligence big model toolkit "ChatGLM Deployment, Fine tuning, and Development" written is scheduled to be published and distributed by the Machinery Industry Press this year. I have led research projects under the National Natural Science Foundation, National Key Research and Development Program, China Postdoctoral Science Foundation, Hebei Provincial Natural Science Foundation, and Hebei Provincial Central Guidance for Local Science and Technology Development Fund. I have also co led research projects under the National Natural Science Foundation Joint Fund and Beijing Municipal Natural Science Foundation, and completed 7 horizontal projects. Received one excellent project for the 2018 Hebei Provincial Natural Science Foundation completion acceptance and two second prizes for scientific and technological progress in Hebei Province.

In recent years, I have taught master's and doctoral courses such as "Image Remote Sensing Technology", "Database Discussion", and "Principles and Applications of Artificial Intelligence Large Models", as well as undergraduate courses such as "VC++Object Oriented Programming", "Spatial Database Principles and Applications", "Computer Graphics", "Geographic Information System Development", "GPS Principles and Applications", "Surveying", and "Artificial Intelligence Large Model Technology and Applications". Independently supervised five doctoral students, over fifty master's students, and more than thirty graduate students.