Seungwoo Han

Biosignal Informatics Lab, Tokyo University of Agriculture and Technology (TUAT), Japan

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Seungwoo Han (Student Member, IEEE) is a researcher in internet of medical things (IoMT). He is currently pursuing the Ph.D. degree in electrical engineering and computer science from TUAT, Japan.

He served as a backend developer at a healthcare and simulation software company from 2020 to 2024, where he gained practical experience in software development.

His research interests include lightweight machine learning for healthcare and IoT security.

selected publications

  1. ITC-CSCC
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    A lightweight multi-feature fusion deep learning architecture for human ECG reconstruction from chest-worn accelerometer
    Seungwoo Han, Ingon Chanpornpakdi, Puwadej Leelasiri, and 4 more authors
    In 2025 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC), 2025
    Best Presentation Award healthcare DOI
    0 Google Scholar citations
  2. BIBM
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    Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix
    Seungwoo Han
    In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
    healthcare DOI
    2 Google Scholar citations
  3. WPTC
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    Optimal DNN architecture search using Bayesian Optimization Hyperband for arrhythmia detection
    Seungwoo Han, Heesang Eom, Juhyeong Kim, and 1 more author
    In 2020 IEEE Wireless Power Transfer Conference (WPTC), 2020
    healthcare DOI
    15 Google Scholar citations