이화여자대학교

Kyongwon Kim Assistant Professor

Department of Statistics

김경원 프로필 사진 
I am an Assistant Professor in the Department of Statistics at Ewha Womans University.  Before joining Ewha, I was an Assistant Professor in the Department of Mathematics and Statistics at Wake Forest University. I got my Ph.D. in Statistics from The Pennsylvania State University under the supervision of Dr. Bing Li and B.S. in Mathematics at Sogang University, Seoul, South Korea. My research interests include: Sufficient Dimension Reduction, Graphical Models, Functional Data Analysis, Causal Inference, Machine Learning, and Deep Learning.
  • Department Chair, Management for Science and Technology
  • Science Building B #B518
  • 02-3277-3684
  • Research Interests
    • Sufficient Dimension Reduction, Graphical Models, Functional Data Analysis, Machine Learning
Research Record
  • Cross-cultural comparison of body dimensions and trends: an analysis of ANSUR and Size Korea datasets for automotive seating design Ergonomics, 2024, v.67 no.1, 123-134
    SCIE SSCI Scopus dColl.
  • On Sufficient Graphical Models JOURNAL OF MACHINE LEARNING RESEARCH, 2024, v.25, 17
    SCIE Scopus dColl.
  • Predicting Driver's mental workload using physiological signals: A functional data analysis approach Applied Ergonomics, 2024, v.118, 104274
    SCIE SSCI Scopus dColl.
  • On a nonlinear extension of the principal fitted component model Computational Statistics and Data Analysis, 2023, v.182, 107707
    SCIE Scopus dColl.
  • 김정일 정권 승자연합의 변동과 안정성 분석: 소셜 네트워크 분석을 중심으로 한국행정학보, 2023, v.57 no.3, 195-230
    KCI dColl.
  • Development and evaluation of attachable anti-vibration handle Applied Ergonomics, 2022, v.98, 103571
    SCIE SSCI Scopus dColl.
  • Machine learning approach for study on subway passenger flow Scientific Reports, 2022, v.12 no.1, 2754
    SCIE Scopus dColl.
  • On cross-distance selection algorithm for hybrid sufficient dimension reduction Computational Statistics and Data Analysis, 2022, v.176, 107562
    SCIE Scopus dColl.
  • On principal graphical models with application to gene network Computational Statistics and Data Analysis, 2022, v.166, 107344
    SCIE Scopus dColl.
  • Sparse multivariate functional principal component analysis STAT, 2022, v.11 no.1, e435
    SCIE Scopus dColl.
  • ON POST DIMENSION REDUCTION STATISTICAL INFERENCE ANNALS OF STATISTICS, 2020, v.48 no.3, 1567-1592
    SCIE Scopus dColl.
  • [학술지논문] Cross-cultural comparison of body dimensions and trends: an analysis of ANSUR and Size Korea datasets for automotive seating design ERGONOMICS, 2024, v.67 no.1 , 123-134
    SCIE
  • [학술지논문] On Sufficient Graphical Models Journal of Machine Learning Research, 2024, v.25 no.0 , 1-64
    SCIE
  • [학술지논문] Optimising computer vision-based ergonomic assessments: sensitivity to camera position and monocular 3D pose model Ergonomics, 2024, v.0 no.0 , 1-18
    SCIE
  • [학술지논문] Predicting Driver's mental workload using physiological signals: A functional data analysis approach Applied Ergonomics, 2024, v.118 no.0 , 1-12
    SCIE
  • [학술지논문] Utilising raw psycho-physiological data and functional data analysis for estimating mental workload in human drivers Ergonomics, 2024, v.0 no.0 , 1-17
    SCIE
  • [학술지논문] A note on sufficient dimension reduction with post dimension reduction statistical inference ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2023, v.0 no.0 , 1-21
    SCIE
  • [학술지논문] On a nonlinear extension of the principal fitted component model COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2023, v.182 no.0 , 107707-107707
    SCIE
  • [학술지논문] 김정일 정권 승자연합의 변동과 안정성 분석: 소셜 네트워크 분석을 중심으로 한국행정학보, 2023, v.57 no.3 , 195-230
    KCI
  • [학술지논문] Development and evaluation of attachable anti-vibration handle APPLIED ERGONOMICS, 2022, v.98 no.0 , 103571-103571
    SCI
  • [학술지논문] Machine learning approach for study on subway passenger flow SCIENTIFIC REPORTS, 2022, v.12 no.1 , 2754-2754
    SCI
  • [학술지논문] On cross-distance selection algorithm for hybrid sufficient dimension reduction COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, v.176 no.0 , 1-10
    SCIE
  • [학술지논문] On principal graphical models with application to gene network COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, v.166 no.0 , 107344-107344
    SCIE
  • [학술지논문] Sparse multivariate functional principal component analysis STAT, 2022, v.11 no.1 , 435-435
    SCIE
  • [학술지논문] More on directional regression Communications for Statistical Applications and Methods, 2021, v.28 no.5 , 553-562
    Scopus
  • [학술지논문] ON POST DIMENSION REDUCTION STATISTICAL INFERENCE ANNALS OF STATISTICS, 2020, v.48 no.3 , 1567-1592
    SCI
  • [학술발표] On sufficient graphical models Bernoulli-IMS 10th World Congress in Probability and Statistics, 대한민국, 2021-07-19 Program Book, Bernoulli-IMS 10th World Congress in Probability and Statistics, 2021
  • [학술발표] On sufficient graphical models 4th International Conference on Econometrics and Statistics (Ecosta 2021), 홍콩, 2021-06-25 PROGRAMME AND ABSTRACTS, 4th International Conference on Econometrics and Statistics (EcoSta 2021), 2021
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Courses

  • 2024-2nd

    • Categorical Data Analysis

      • Subject No 36858Class No 01
      • 4Year ( 3Credit , 3Hour) Wed 7~7 (POSCO365) , Fri 7~7 (POSCO365)
        • 영문계획안

    • Selected Topics in Data Analysis Ⅱ

      • Subject No G11906Class No 01
      • Year ( 3Credit , 3Hour) Fri 3~4 (D109)
        • 영문계획안

  • 2024-1st

    • First-Year Seminar 강의 계획서 상세보기

      • Subject No 10851Class No 02
      • 1Year ( 1Credit Wed 7~7 (D108)

    • Introduction to Stochastic Processes

      • Subject No 20633Class No 01
      • 3Year ( 3Credit , 3Hour) Tue 7~7 (POSCO452) , Fri 6~6 (POSCO452)
        • 영문계획안

    • Regression Analysis 강의 계획서 상세보기

      • Subject No G11807Class No 01
      • Year ( 3Credit , 3Hour) Tue 4~5 (POSCO-358)
      • Classroom Changed

  • 2023-2nd

    • Regression Analysis

    • Regression Analysis

    • Topics in Multivariate Analysis Ⅰ

      • Subject No G11908Class No 01
      • Year ( 3Credit , 3Hour) Fri 5~6 (D109)
        • Syllabus(File)

    • Statistics for Data Science 강의 계획서 상세보기

      • Subject No IDS102Class No 01
      • Year ( 3Credit , 3Hour) Sat 3~3 (ECC-)

    • Advanced Statistics for Data Science 강의 계획서 상세보기

      • Subject No IDS107Class No 01
      • Year ( 3Credit , 3Hour) Sat 2~2 (ECC-)

  • 2023-1st

    • First-Year Seminar 강의 계획서 상세보기

      • Subject No 10851Class No 06
      • 1Year ( 1Credit Wed 7~7 (POSCO454)

    • Mathematical Statistics I

    • Probability Theory Ⅰ

      • Subject No G11805Class No 01
      • Year ( 3Credit , 3Hour) Tue 4~5 (D106)
        • Syllabus(File)

  • 2022-2nd

    • Basic Probability Theory

      • Subject No 20634Class No 01
      • 2Year ( 3Credit , 3Hour) Tue 2~2 (POSCO153) , Fri 3~3 (POSCO153)
        • Syllabus(File)

    • Advanced Topics in Contemporary Statistics I 강의 계획서 상세보기

      • Subject No G17141Class No 01
      • Year ( 3Credit , 3Hour) Tue 6~7 (D106)
        • Syllabus(File)

  • 2022-1st

    • First-Year Seminar 강의 계획서 상세보기

      • Subject No 10851Class No 10
      • 1Year ( 1Credit Wed 7~7 (SCI-)

    • Statistics I

      • Subject No 20424Class No 01
      • 1Year ( 3Credit , 3Hour) Tue 2~2 , Fri 3~3
        • Syllabus(File)

    • Selected Topics in Data Analysis Ⅰ

      • Subject No G11825Class No 01
      • Year ( 3Credit , 3Hour) Tue 6~7 (POSCO-362)
        • Syllabus(File)

  • 2021-2nd

    • Statistics II

      • Subject No 20425Class No 01
      • 1Year ( 3Credit , 3Hour) Tue 2~2 , Fri 3~3
        • Syllabus(File)

    • Topics in Multivariate Analysis Ⅰ

      • Subject No G11908Class No 01
      • Year ( 3Credit , 3Hour) Tue 6~7 (D108)
        • Syllabus(File)

  • 2021-1st

    • Statistics I

      • Subject No 20424Class No 01
      • 1Year ( 3Credit , 3Hour) Tue 2~2 , Fri 3~3
        • Syllabus(File)

    • Selected Topics in Data Analysis Ⅰ

      • Subject No G11825Class No 01
      • Year ( 3Credit , 3Hour) Fri 6~7 (POSCO-362)
      • Classroom Changed,Professor Determined
        • Syllabus(File)
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Academic Background

The Pennsylvania State University Ph.D.(통계학과)

Work Experience

Department Chair, Management for Science and Technology 2023-02-01 ~ 2025-01-31

Wake Forest University (Assistant Professor) 2020-07-01 ~ 2020-12-31