陈麒宇

I'm a PhD candidate in Computer Science at the Chinese Academy of Sciences Institute of Automation (CASIA) focusing on computer vision and self-supervised learning. My research interests span across representation learning, unsupervised learning, and computer vision security applications in industrial automation.

Previously, I developed a remote monitoring and control system for flower maintenance using IoT and virtual reality technologies. This work combined Arduino hardware with Unity3D to create an interactive VR environment for automated plant care monitoring. The system demonstrated practical applications of computer vision and automation technologies in agriculture.

Currently, my work focuses on advancing self-supervised and representation learning approaches for computer vision tasks, particularly in scenarios with limited labeled data. I'm interested in developing robust visual understanding systems that can operate reliably in real-world industrial settings while maintaining security and efficiency.