Machine Intelligence and Information Theory Lab. 기계지능 및 정보학습 연구실
Career History
- 2011: B.S. School of Electrical Engineering, KAIST
- 2013: M.S. School of Electrical Engineering, KAIST
- 2017: Ph.D. School of Electrical Engineering, KAIST
- 2017-2020: Postdoctoral Researcher, KAIST
- 2020-2025: Assistant Professor, UNIST
- 2025- : Associate Professor, UNIST
Intro
Machine Intelligence and Information Theory (MIIT) Lab. aims to provide the theoretical understanding of machine intelligence (‘MI’) via principles on information theory (‘IT’). Ground on theories, we further develop robust/reliable intelligent systems across diverse frameworks from perspectives, of generalization, robustness, safety, etc. Also, we try to pioneer the next-generation learning paradigms, including quantum machine learning. Another branch is to extend our principled insights toward impactful applications, including medical, industrial AI and intelligent 6G communications.
Research Field
Machine Learning, Learning Theory, Generalization, Robustness, Information Theory, Intelligent Communications