Ubiquitous Artificial Intelligence Lab.
Career History
- 2023 : Ph.D. School of Computing, KAIST
- 2017 : M.S. School of Computing, KAIST
- 2016 : B.S. Computer Science, Yonsei University ( Summa Cum Laude )
- 2024.08 ~ PresentAssistant Professor, UNIST CSE & AIGS
- 2024.03 ~ 2024.08 : Visiting Scholar, University of Cambridge
- 2023.06 ~ 2024.08 : Research Scientist, Bell Labs
- 2022.08 ~ 2022.11 : Research Intern, Google Research/Google AI
- 2019.04 ~ 2019.06 : Research Intern, Microsoft Research
- 2018.07 ~ 2018.09 : Research Intern, Bell Labs
- Best Ph.D. Dissertation Award, College of Engineering, KAIST
- Best Ph.D. Dissertation Award, School of Computing, KAIST
- Google Ph.D. Fellowship (Machine Learning)
Intro
“Making AI ubiquitous through algorithm-level and system-level innovations for diverse edge devices.” Our lab’s research lies at the intersection of cutting-edge AI and its seamless integration into real-world devices and applications. We focus on building intelligent, adaptive, and efficient on-device AI systems that enhance everyday user experiences. We currently explore three primary research areas (but not limited to) that together push the boundaries of AI to be more resource-efficient, personalized, and human-centered: (1) Efficient On-Device AI Systems, (2) Adaptive and Personalized AI, and (3) Human-Centered AI.
Research Field
On-Device AI, AI Efficiency, AI Personalization