Boyu Kuang

Dr. Boyu Kuang is a Research Fellow in Computer Vision and Artificial Intelligence at Cranfield University, affiliated with the Centre for Computational Engineering Sciences. His work bridges academic research with industrial applications in aviation, robotics, and energy systems.

• Current role: Research Fellow in Computer Vision and AI
• Key affiliations: Centre for Computational Engineering Sciences

Research interests include semantic segmentation, object detection, weakly and self-supervised learning, multi-modal perception, and vision-language foundation models. His methodology emphasizes robust AI systems for low-resource industrial environments, with applications in aviation maintenance, robotics, and energy infrastructure monitoring. He leads the Artificial Intelligence and Machine Learning module at Cranfield.

Key activities include the UKRI, ATI, and Airbus-funded ONEHeart project on autonomous systems and intelligent inspection. Collaborations span Stanford University, King’s College London, Civil Aviation University of China, and industry partners like Airbus and Leidos. Publications focus on vision-language models, multi-modal perception, and industrial AI.

As an Editorial Board Member for Discover Artificial Intelligence (Springer Nature), he contributes to academic governance. Peer review experience includes 60+ journal manuscripts for venues like IEEE Transactions on Image Processing and Elsevier Neural Networks. Facilities utilized include DARTeC and AIRC.