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 lightweight machine learning model design, neural architecture search, and heterogeneous computing.

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