معرفی
Kai Guo is an academic affiliated with the School of Computer Science and Information Engineering at Hefei University of Technology, China. His research spans interdisciplinary areas including artificial intelligence, robotics, and educational technology. He has collaborated with institutions globally on projects involving AI applications in education, industrial process optimization, and computer vision.
Key research interests include AI-driven educational tools, robotics systems, and data-driven industrial analysis. Notable contributions include developing prediction models for blast furnace operations, AI-enhanced language learning platforms, and visual perception techniques in virtual reality. His work often bridges theoretical computer science with practical applications in manufacturing, education, and healthcare.
Publications from 2025 focus on advanced machine learning techniques such as graph-based retrieval systems, diffusion models for anomaly detection, and VR visualization methods. Collaborations with Samuel Kai-Wah Chu and David James Woo highlight his engagement in educational technology innovation.
Guo has no listed scientific awards but maintains an active research agenda with over 185 publications. His work emphasizes cross-disciplinary approaches to solving complex technical and pedagogical challenges.
