Research Associate Professor

 gwangsu_kim_cv.jpg

Gwangsu Kim (김광수) 
Email : s88012@kaist.ac.kr
Office : Room 2110, LG-Semicon Hall
Address : School of Electrical Engineering, KAIST, 291, Daehak-ro, Yuseong-gu, Daejeon (34141), Republic of Korea

 

Research Associate Professor, School of Electrical Engineering, KAIST


Member of the Korean Statistical Society, Bayesian research
Member of the Korean Society of Climate Change Research

Ph.D. in the Department of Statistics from the Seoul National University
B.S. in the Department of Statistics from the Seoul National University

 

Areas of Interest

Statistical learning, Big data analysis, High dimensional data analysis
Bayesian nonparametrics, Survival analysis, Latent variable analysis, Active learning

Journal Papers

  1. Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models. (2019). Gwangsu Kim and Taeryon Choi. Journal of Multivariate Analysis, 171: 68-82.

  2. Detection of gene–environment interactions in a family‐based population using SCAD. (2017). Gwangsu Kim, Chao‐Qiang Lai, Donna K Arnett, Laurence D Parnell, Jose M Ordovas, Yongdai Kim and Joungyoun Kim. Statistics in Medicine, 36:22, 3547-3559.

  3. Bayesian Analysis of the Proportional Hazards Model with Time- Varying Coefficients. (2017). Gwangsu Kim, Taeryon Choi and Yongdai Kim, Scandinavian Journal of Statistics, 44:2, 524-544.

  4. Bayesian analysis to detect abrupt changes in extreme hydrological processes. (2016). Seongil Jo, Gwangsu Kim and Jong-June Jeon, Journal of Hydrology, 538, 63-70.

  5. Sparse Bayesian Representation in Time-Frequency Domain. (2015). Gwangsu Kim, Jeongran Lee, Yongdai Kim and Hee-Seok Oh. Journal of Statistical Planning and Inference, 166, 126-137.


  • Published: 6 articles in SCI journals, 4 articles in SCIE journals, 1 article in ESCI journals, 3 articles in KCI journals

Teaching Experience 

Elementary statistics, Mathematical statistics

Introduction to probability, Engineering statistics

Multivariate analysis, Data mining 

Bayesian inference, Computational statistics

International

Conference

Presentation/Paper 

Presentation: The posterior convergence rate of Cox's partial likelihood. 2011 BNP Workshop, Veracruz, Mexico

Tutorial: Bayesian analysis and its applications in AI
2018 ICCE-ASIA, Jeju, Korea.

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.

Prize 

2011 BNP Workshop, animation competition 1st prize