Researchers Database

Lee Saerom

  • Faculty of Engineering and Design
  • Department of Engineering and Design
  • Graduate School of Science for Creative Emergence
  • Division of Science for Creative Emergence
  • Assistant Professor
Last Updated :2025/04/19

Researcher Information

Degree

  • Bachelor of Engineering(2011/02 Seoul National University of Science and Technology)
  • Master of Engineering(2013/03 Muroran Institute of Technology)
  • Doctor of Engineering, Ph. D.(2017/03 Muroran Institute of Technology)

J-Global ID

Research Interests

  • Pattern Mining   Kansei Engineering   

Research Areas

  • Informatics / Sensitivity (kansei) informatics

Academic & Professional Experience

  • 2020/11 - Today  Kagawa UniversityFaculty of Engineering and Design Department of Engineering and DesignAssistant Professor
  • 2019/04 - 2020/10  National Institute of Technology, Matsue CollegeDepartment of Information EngineeringAssistant Professor
  • 2017/04 - 2019/03  Muroran Institute of TechnologyFaculty of EngineeringPostdoctoral Researcher
  • 2013/10 - 2017/03  Muroran Institute of Technology大学院工学研究科 博士後期課程
  • 2011/04 - 2013/03  Muroran Institute of Technology大学院工学研究科 博士前期課程
  • 2006/03 - 2011/02  Seoul National University of Science and TechnologyDepartment of Computer Science and Engineering

Education

  • 2013/10 - 2017/03  Muroran Institute of Technology  Faculty of Engineering  生産情報システム工学系専攻
  • 2011/04 - 2013/03  Muroran Institute of Technology  Faculty of Engineering  情報電子工学専攻
  • 2006/03 - 2011/02  Seoul National University of Science and Technology  Department of Computer Science and Engineering

Association Memberships

  • 日本感性工学会 生命ソフトウェア部会   

Published Papers

  • Discrimination of ECG Abnormality based on a Normal ECG Wave Model Implementing a Denoising Model
    Kaiji Sugimoto; Saerom Lee; Yoshifumi Okada
    Lecture Notes in Engineering and Computer Science Newswood Limited 2239 184 - 187 2078-0958 2019
  • Linkage Pattern Mining using Interval and Order of Pattern Appearance
    Saerom Lee; Kaiji Sugimoto; Yoshifumi Okada
    IAENG International Journal of Computer Science Vol.46 (No.4) 691 - 698 2019 [Refereed]
  • Detection and localization of myocardial infarction based on a convolutional autoencoder
    Kaiji Sugimoto; Yudai Kon; Saerom Lee; Yoshifumi Okada
    (Vol.17) 123 - 131 2019 [Refereed]
  • Deep learning-based detection of periodic abnormal waves in ECG data
    Kaiji Sugimoto; Saerom Lee; Yoshifumi Okada
    Lecture Notes in Engineering and Computer Science Newswood Limited 2233 35 - 39 2078-0958 2018
  • Analyzing Relationship between Upper Body Poses and Emotions Using Multiple Regression Analysis
    Misaki Ogawa; Saerom Lee; Yoshifumi Okada
    Lecture Notes in Engineering and Computer Science Newswood Limited 2227 157 - 160 2078-0958 2017
  • Linkage pattern mining based on causal relationship
    Yusuke Okubo; Saerom Lee; Yoshifumi Okada
    Lecture Notes in Engineering and Computer Science Newswood Limited 1 69 - 72 2078-0958 2016
  • Linkage Pattern Mining Method for Multiple Sequential Data with Noise
    Saerom Lee; Takahiro Miura; Yusuke Okubo; Yoshifumi Okada
    IAENG International Journal of Computer Science (Vol.4) 361 - 367 2015 [Refereed]
  • A new method for improving the performance of linkage pattern mining
    Saerom Lee; Takahiro Miura; Yoshifumi Okada
    Lecture Notes in Engineering and Computer Science Newswood Limited 2209 (January) 36 - 40 2078-0958 2014
  • 書評ゲーム「ビブリオバトル」導入の試み -日本語パブリックスピーキング技能育成のために-
    山路奈保子; 須藤秀紹; 李セロン
    日本語教育学会論文集 (155) 175 - 188 2013 [Refereed]

Conference Activities & Talks

  • Discrimination of ECG Abnormality based on a Normal ECG Wave Model Implementing a Denoising Model  [Not invited]
    Kaiji Sugimoto; Saerom Lee; Yoshifumi Okada
    Proceedings of IMECS2019  2019
  • Deep Learning-based Detection of Periodic Abnormal Waves in ECG Data  [Not invited]
    Kaiji Sugimoto; Saerom Lee; Yoshifumi Okada
    Proceedings of IMECS2018  2018
  • Classification of Anger Emotion using Japanese Vowel  [Not invited]
    Kaiji Sugimoto; Saerom Lee; Yoshifumi Okada
    Proceedings of ICBAKE2017  2017
  • Detection of Abnormal ECG Waveform Based on Linkage Pattern Mining  [Not invited]
    Saerom Lee; Kaiji Sugimoto; Yoshifumi Okada
    Proceedings of ICBAKE2017  2017
  • Analyzing Relationship between Upper Body Poses and Emotions Using Multiple Regression Analysis  [Not invited]
    Misaki Ogawa; Saerom Lee; Yoshifumi Okada
    Proceedings of IMECS2017  2017
  • Investigation of the Relationship between Upper Body Poses and Emotions Using the Evaluation Grid Method  [Not invited]
    Misaki Ogawa; Saerom Lee; Yoshifumi Okada
    Proceedings of SCIS&ISIS2016  2016
  • Linkage Pattern Mining based on Causal Relationship  [Not invited]
    Yusuke Okubo; Saerom Lee; Yoshifumi Okada
    Proceedings of IMECS2016  2016
  • Performance Evaluation of Linkage Pattern Mining Method  [Not invited]
    Saerom Lee,Yusuke Okubo; Yoshifumi Okada
    Proceedings of ICESS2015  2015
  • A New Method for Improving the Performance of Linkage Pattern Mining  [Not invited]
    Saerom Lee; Takahiro Miura; Yoshifumi Okada
    Proceedings of IMECS2014  2014
  • A Study of Relationship between Foreign Language Ability and Presentation Skills  [Not invited]
    Saerom Lee; Hidetsugu Suto; Naoko Yamaji
    Proceedings of HuCARE2011  2011

Awards & Honors

  • 2018/11 生命ソフトウェア部会,感性工房部会,而立の会 優秀発表賞
     Convolutional Autoencoderを用いた心電図波形モデルの構築と病気診断への応用 
    受賞者: 杉本階嗣;李セロン;岡田吉史

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