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 specializing in biomedical signal processing. He has been pursuing the Ph.D. degree in Electrical Engineering and Computer Science from TUAT, Tokyo, Japan, since 2024.

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 encompass signal processing and lightweight wearable systems.

latest posts

Dec 31, 2025 2025년 회고
Dec 31, 2024 2024년 회고
Nov 14, 2024 Deep Neural Crossover 리뷰

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