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 data generation, with applications in signal processing. He is currently pursuing the Ph.D. degree in electrical engineering and computer science from TUAT, Japan.

His primary research interest lies in modeling and simulation to address the scarcity of machine learning datasets. He served as a backend developer at a healthcare and simulation software company from 2020 to 2024, where he gained practical experience in software development.

selected publications

  1. SoftwareX
    PyWSNSim: A Python-based Component-Oriented Simulation Framework for Sinkhole Attack Analysis in Large-Scale WSNs (Accepted)
    Seungwoo Han, Toshihisa Tanaka, and Su Man Nam
    SoftwareX, 2026
    data generation Code
  2. 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
    Best Presentation Award data generation DOI
    0 Google Scholar citations
  3. BIBM
    han2024arrhythmia.png
    Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix
    Seungwoo Han
    In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
    classification DOI
    2 Google Scholar citations