Hyunsung Kim

Hyunsung Kim

Ph.D. Student in Statistics

Seoul National University

About

I am a Ph.D. student in the Department of Statistics at Seoul National University, under the supervision of Prof. Junyong Park. I am also a member of High Dimensional Multiple Testing Lab. Prior to that, I received my M.A. in Statistics and B.A. in Applied Statistics at Chung-Ang University under the supervision of Prof. Yaeji Lim.

My research interests include Functional Data Analysis, High-Dimensional Data Analysis, and Multiple Testing. Currently, my main research lies in classification and FDR control for functional data.

I love R coding and making documents using Rmarkdown. I sometimes write on my personal blog about Statistics, R, etc.

Download my CV.
Contact me : hyunsung1021@gmail.com

Interests
  • Functional Data Analysis
  • High-Dimensional Data Analysis
  • Multiple Testing
  • Statistical Dimension Reduction
  • Non-Euclidean Data Analysis
Education

  • Ph.D. in Statistics, 2028 (Expected)

    Seoul National University

  • M.A. in Statistics, 2021

    Chung-Ang University

  • B.A. in Applied Statistics, 2019

    Chung-Ang University

Selected Publications

Published / Accepted

Eun Jee Park, Hyunsung Kim, Yaeji Lim, Soon Young Lee, Weon-Young Lee (2024). Effect of motivated physicians and elderly patients with hypertension or type 2 diabetes mellitus in prepared communities on health behaviours and outcomes: A population-based PS matched retrospective cohort study during five-year follow-up period. PLoS ONE, 19(2), e0296834.

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Hyunsung Kim, Yaeji Lim (2023). Functional clustering on a sphere via Riemannian functional principal components. Stat, 12(1), e557.

PDF Cite Code DOI

Yeonjoo Park, Hyunsung Kim, Yaeji Lim (2023). Functional principal component analysis for partially observed elliptical process. Computational Statistics & Data Analysis, 184, 107745.

PDF Cite Code DOI Package

Hyunsung Kim, Yaeji Lim (2022). Bootstrap aggregated classification for sparse functional data. Journal of Applied Statistics, 49(8), 2052–2063.

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Hyunsung Kim, XiongZhu Li, Yaeji Lim (2021). Robust group independent component analysis. The Korean Journal of Applied Statistics, 34(2), 135–147.

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Working papers

Submitted / Under review / In preperation

Recent & Upcoming Talks

Functional principal component analysis for partially observed elliptical process
The Korean Statistical Society Summer Conference
Jun 24, 2022 1:30 PM — 3:00 PM Seoul National University
Slides
Robust principal component analysis applicable to partially observed functional data
The 11th Conference of the IASC-ARS (The Asian Regional Section of the International Association for Statistical Computing)
Feb 23, 2022 2:00 PM — 3:40 PM Doshisha University (Virtual)
Slides
Robust covariance estimation for partially observed functional data
BERNOULLI-IMS 10th WORLD CONGRESS in PROBABILITY and STATISTICS
Jul 21, 2021 11:30 AM — 12:00 PM Seoul National University (Virtual)
Slides

Honors and Awards

  • Outstanding Young Researcher/Student Poster Award (2nd prize), The 11th Conference of the IASC-ARS, Feb 2022.

  • CAU Graduate Research Scholarship, Chung-Ang University.

    • Mar 2021 ~ Feb 2023 (Ph.D.)
    • Mar 2019 ~ Feb 2021 (M.S.)
    • Funding amount: Full-tuition

  • Magna Cum Laude, Chung-Ang University

    • Class rank: 4/31

  • Da Vinci SW Hackathon (1st place), Da Vinci Software Education Institute, Chung-Ang University, Nov 2018.

  • Scholarship for Academic Excellence, Chung-Ang University.

    • Mar 2014, Mar 2018, Sep 2018
    • 1st in the class at Sep 2018 and Mar 2018

  • Scholarship for Human Resource Developments, Nonghyup Foundation.

    • Mar 2013 ~ Feb 2019
    • Funding amount: 24,000,000 KRW

Software

R-package

  • robfpca: Functional principal component analysis for partially observed elliptical process. Available on GitHub.

Projects

경기도 고혈압·당뇨병 등록관리사업 효과평가 분석

경기도 공공보건의료지원단 (2019.07 ~ 2020.02)

빅데이터 기반 서비스부품 수요예측 강화

현대모비스, 부품운영팀 (2019.02 ~ 2019.09)

Da Vinci SW Hackathon

Da Vinci Software Education Institute, Chung-Ang University (2018.11)

Code

Teaching

Instructor

  • Introduction to Statistics and Python Programming (Short course), Department of Fashion Design, Dong-A University, Virtual, Jul 2021.

Teaching Assistant

Seoul National University

  • Advanced Methods in Data Analysis and Lab, Department of Statistics, Fall 2023.

  • Science Camp for High School Students in College of Natural Sciences, College of Natural Sciences, Jul 2023.

Chung-Ang University

  • Multivariate Analysis (Graduate course), Department of Statistics, Fall 2022.

  • Mathematical Statistics (Graduate course), Department of Statistics, Spring 2022.

  • Introduction to Statistical Learning, Department of Applied Statistics, Fall 2019.

Contact