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 computer science. He is currently pursuing the Ph.D. degree in electrical engineering and computer science from TUAT, Japan.

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

His research interests include AI-based signal processing and hardware acceleration.

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
  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
    DOI
    15 Google Scholar citations