- 연구실Machine 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
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