Sun Yat-sen University · Shenzhen
Dedicated to interdisciplinary research at the intersection of industrial artificial intelligence and advanced manufacturing
AI Cube Laboratory PhD student Qi Fanyu participated in the 5th International Conference on Digital Twins (DigiTwin 2025), delivering an academic presentation in the "Digital Experiment, Testing and Verification" sub-forum, showcasing the laboratory's research progress in intelligent fault diagnosis.
The three-member undergraduate team from the AI Cube Laboratory (Yin Size, Wu Honghui, Zheng Hao) fought tirelessly for three days and nights in the 2025 National Undergraduate Mathematical Contest in Modeling, standing out and ultimately winning the Guangdong Province First Prize!
Congratulations to Zhu Yizhang, a master's student from the laboratory, for successfully passing the master's-to-PhD transfer assessment and officially becoming a PhD student, embarking on a new academic research journey.
The AI Cube Laboratory team (SAM-IPA-1) defeated numerous strong teams from around the world to win the PHM North America Data Competition championship, becoming the first Chinese university team to win this competition. Notably, the team's main force is first-year master's student Gao Peng, who just enrolled.
Lab Director
Associate Professor and PhD Supervisor, specializing in interdisciplinary research at the intersection of industrial artificial intelligence and advanced manufacturing.
Formerly served as CTO of Xinrun Fulian Digital Technology, Industrial Intelligence Product Leader at Foxconn Industrial Internet, and Research Scientist at General Motors USA.
Published over 30 papers, more than 100 Chinese and foreign invention patents, with over 1000 Google Scholar citations.
Industry Collaboration
Deep collaboration with renowned enterprises to promote industrial application of research results
Collaborating with Applied Materials USA to develop online monitoring systems for ultra-hard wide-bandgap semiconductor manufacturing processes.
Collaborating with Xiaomi Auto to build smart manufacturing quality control systems, improving production efficiency and product quality.
Collaborating with Shanghai Electric to develop industrial equipment health management and fault early warning systems.
Collaborating with Foxconn to build industrial internet data analysis and intelligent decision-making platforms.
We offer full funding for admitted students and welcome applicants from mechanical engineering, electrical engineering, computer science, automation, and related fields.Join us to push the frontiers of industrial AI and advanced manufacturing.
