1. Professor
  2. Research Associate Professor
  3. Postdoc
  4. Ph.D Course
  5. MS Course
  6. Visiting Students
  7. Alumni

Research Associate Professor

 gwangsu_kim_cv.jpg

Gwangsu Kim 
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 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


Areas of Interest

Statistical learning, Bayesian nonparametrics, Survival analysis, Active learning

Fair and Causal AI 

Journal Papers

  1. Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics, (2021), Hee Seung Wang, Seong Kwang Hong, Jae Hyun Han, Young Hoon Jung, Hyun Kyu Jeong, Tae Hong Im, Chang Kyu Jeong, Bo-Yeon Lee, Gwangsu Kim, Chang D Yoo, Keon Jae Lee Science Advances 7 (7), eabe5683

  2. Properties of h‐likelihood estimators in clustered data, (2020), L Youngjo, G Kim, International Statistical Review 88 (2), 380-395,  

  3. 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.

  4. 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.

  5. 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.


  • Published: 13 articles in SCI(E) journals, 1 article in ESCI journals, 3 articles in KCI journals, 1 Book (Springer LNCS), 4 papers in International Conferences 

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

2020 Korean Artificial Intelligence Association, Academic Innovation Prize