Seungwoo Han

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

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Seungwoo Han (Student Member, IEEE) is a research scientist in smart healthcare system. He is currently pursuing the Ph.D. degree in electrical engineering and computer science from TUAT.

He served as a back end developer in the industry from 2020 to 2024, where he gained practical experience in software development. His research interests include federated learning and biomedical signal processing in edge devices.

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
    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
    DOI
    2 Google Scholar citations