Dong Eui Chang

Dong Eui Chang is a Faculty member in the School of Electrical Engineering at KAIST. His research focuses on control systems, with particular emphasis on AI, robotics, and drones. He leads the Control Lab (Ctrl Lab) at room 1110, building N24. His work includes studies on drone dynamics, Hopf fibration applications, and control algorithms for autonomous systems. Chang has contributed to various conferences and journals, including IEEE Transactions on Automatic Control and ICRA. He has also served on advisory committees for the Presidential Security Office and the Korea Road Safety Authority. His research has been recognized with awards such as the Korean Artificial Intelligence Society's Academic Innovation Award and the Best Poster Award at the K-AI Conference.

Dong Eui Chang is a Professor of Electrical Engineering at KAIST, specializing in control, drones, robotics, and AI. His research focuses on the stabilization of mechanical systems, collision avoidance for multiple agent systems, and the application of deep neural networks in mathematical frameworks. He has contributed to the development of control strategies for quadcopters, trajectory prediction using interaction-aware Kalman neural networks, and the integration of reinforcement learning with imitation learning for autonomous driving. His work also includes geometric visual servoing, dielectrophoretic analysis, and hybrid atomization techniques for functional thin films. Chang's research emphasizes the mathematical foundations of control systems and their practical applications in robotics and autonomous systems.