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👋 I am a joint M.S. & Ph.D student in AI & Robotics Lab (AIRLAB) @ Chung-Ang University (CAU), advised by Prof. Eunwoo Kim. I received a B.S. in Electrical and Electronic Engineering at CAU. I am broadly interested in machine learning, deep learning, robotics, and their applications, but not limited to.
My research goal is to develop intelligent robotic systems that safely and continuously learn through interaction with humans and real-world environments, enabling more adaptive and harmonious human-robot coexistence. To this end, I study how robots can continuously learn, unlearn, correct, and adapt their behaviors through interaction with the physical world as in my Ph.D. dissertation.
More broadly, my research experience is mainly concentrated in adaptive learning including vision domain and robot domain, especially in active learning, machine unlearning, multi-task learning, and continual learning. Across these directions, my research is inspired by how humans learn: selectively acquiring useful data and knowledge, transferring past experience, suppressing unreliable information, and adapting to changing real-world conditions.