Research Associate Professor, School of Electrical Engineering, KAIST
Member of IEEE
Member of the Korean Statistical Society, Bayesian research
Member of the Korean Society of Climate Change Research
General Affairs Director of Korean Artificial Intelligence Association (2019 ~)
Program Chairs of 2020 Summer/Fall Conferences of Korean Artificial Intelligence Association
Ph.D. in the Department of Statistics from the Seoul National University
BS in the Department of Statistics from the Seoul National University
Statistical learning, Bayesian nonparametrics, Survival analysis, Active learning Fair and Causal AI
Fair and Causal AI
Elementary statistics, Mathematical statistics
Introduction to probability, Engineering statistics
Multivariate analysis, Data mining
Bayesian inference, Computational statistics
Presentation: The posterior convergence rate of Cox's partial likelihood. 2011 BNP Workshop, Veracruz, Mexico
Tutorial: Bayesian analysis and its applications in AI
A Statistical Approach to Smooth Video Quality Adaptation in IEEE 802.11 Wireless LANs. (2014). Nakjung Choi, Jeongran Lee and Gwangsu Kim. 2014 ICTC.
Predictive Models of Fire via Deep learning Exploiting Colorific Variation. (2019). JiSeong Han, GwangSu Kim, ChanSeo Lee, YeongKwang Han, Ung Hwang and SungHwan Kim. 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Fire Detection Using Video Images and Temporal Variations. (2019). Gwangsu Kim, Junyeong Kim and SungHwan Kim. 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
FEW-SHOT ASSOCIATIVE DOMAIN ADAPTATION FOR SURFACE NORMAL ESTIMATION. (2019). Haeyong Kang, Gwangsu Kim and Chang D. Yoo. The 26th IEEE International Conference on Image Processing. Accepted.
2011 BNP Workshop, animation competition 1st prize2020 Korean Artificial Intelligence Association, Academic Innovation Prize