Thai Kim

I'm a researcher in Computer Science and Control Systems at VNU International School, currently working on computer vision and robotics control systems. My recent work focuses on developing advanced detection and control algorithms using deep learning approaches like YOLOv8 for applications in surgical tool detection, traffic monitoring, and agricultural automation. I have published extensively on both theoretical control systems and practical computer vision applications. My control systems research has focused on adaptive sliding mode control for complex mechanical systems like overhead cranes and robotic manipulators. In computer vision, I've developed state-of-the-art detection models for surgical tools achieving over 95% accuracy, traffic monitoring systems, and agricultural applications like lychee detection.

I collaborate extensively with researchers across institutions to bridge the gap between theoretical control approaches and practical robotic/vision applications. My work aims to develop robust, real-world solutions by combining classical control theory with modern deep learning techniques. I'm particularly interested in continuing to advance the capabilities of autonomous systems through improved perception and control algorithms.