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 specializing in biomedical signal processing. He is currently pursuing the Ph.D. degree in Electrical Engineering and Computer Science from TUAT, Tokyo, Japan.

He served as a Back End Engineer in the industry from 2020 to 2024, where he gained practical experience in professional software development.

Since 2024, he has served as a reviewer for leading international conferences and journals. He has collaborated with researchers across South Korea, Japan, Indonesia, and Thailand. His research interests include signal processing and federated learning.

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