Projects
Analyze network data and research intelligent control systems in RAN environments
This project aims to enhance the efficiency and stability of 6G Open Radio Access Networks (Open RAN). To this end, we develop AI-driven control technologies through the co-design of the RAN system. The proposed approach enables intelligent network operation, efficient resource management, and near real-time control. System performance is verified through virtual simulation.
Supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. RS-2025-00556192, Sejong Science Fellowship Domestic Track)
Effective start/end date: 1/3/2025 - 28/2/2030
Real-Time Anomaly Detection in Robotic Systems Using ROS2 Data
This project leverages ROS2 data streams to design AI-based monitoring techniques that can promptly identify abnormal behaviors. By enabling rapid detection and response, the proposed approach improves system robustness and operational stability.Â
Supported by the Kangwon National University
Effective start/end date: 1/4/2026 - 20/1/2027