Research Fields
Deep Reinforcement Learning
Traditionally, machine learning can be categorized into three types: Supervised learning, unsupervised learning and reinforcement learning. Recently, the hybrid of reinforcement learning and deep learning has made big contribution into the field of automatic decision making.
Applications of Deep Learning for Healthcare, Culture,
Technology, and Autonomous Car
We're interested in using modern deep learning techniques into the real-world applications. For example, we're involved in studying healthcare, culture technology and autonomous car problems.
Game Data Mining
Games naturally produce tons of data from game players and the big data help game designers understand their customers. Especially, game companies attempt to predict game players' future behaviors such as churn and purchase.
Game AI
There are three interesting research topics in game AI field: Game AI Player, Game Contents Generation, and Game Player Modeling.
Project
News
[공동참여] GIST-MIT 피지컬 AI 연구센터: 피지컬 AI 실현을 위한 HCI 핵심기술 및 XR 활용기술 연구 (NRF)
[공동참여] e스포츠 운영 효율화를 위한 생성형 AI 기반 e스포츠 서비스 자동화 플랫폼 기술 개발 (KOCCA, 문체부)
[공동참여] 인간중심 물리 시스템 설계를 위한 HCI + AI 융합연구 (GIST-MIT Project, GIST)
- [March 2026] Our lab’s “A-Great-Toe” team (Yucheon, GeumHwan, YuJin, and GyungBo) won Track 1 (Lightweight) of the international ORAK Game Agent Challenge, organized by Krafton.
- [March 2026] Isaac Han is visiting Prof. Rupam Mahmood’s research group at the University of Alberta, Canada (March–June 2026).
- [March 2026] We are pleased to announce that two papers have been accepted to CHI 2026: Jaeyoung’s work on low-budget annotation (with Prof. Yannakakis, University of Malta), which received an Honorable Mention Award, and InChang’s work on instrumental music captions (with Sooyeon Ahn and Prof. JinHyuk Hong), which received a Best Paper Award.
- [Feb 2026] Dr. HoTaek Joo received an Award from the Chairman of the GIST Development Foundation at the commencement ceremony.
- [Feb 2026] Jaeyoung’s work on the CPR Training Glove has been accepted to ICRA 2026 (in collaboration with Prof. Yiyue’s group at the University of Washington).
- [Jan 2026] Our work on balancing stability and plasticity has been accepted to ICLR 2026. Authors: Isaac Han, Sangyeon Park, Seungwon Oh, and the KAIST Team (Donghu Kim, Hojoon Lee) (Selected as Oral Presentation) Project Page.
Interested in our research?
We're hiring motivated interns and graduate students!
Find us at the office
123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, Korea
Bdg. Dasan
Give us a ring
Prof. Kyung-Joong Kim
E-mail) kjkim@gist.ac.kr