Seungwoo Han

Biosignal Informatics Lab, Tokyo University of Agriculture and Technology (TUAT), Japan

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Seungwoo Han (Student Member of ACM and IEEE) is currently pursuing the Ph.D. degree in electrical engineering and computer science at TUAT, Japan.

He worked as a backend developer in the industry from 2020 to 2024. His primary research interests lie in edge inference, biometrics, and neuromorphic computing.

selected publications

  1. GCCE
    External Sinkhole Attack Detection in Large-Scale WSNs Using Metaheuristic Feature Selection (Accepted)
    Seungwoo Han, Sawako Kitagata, Ingon Chanpornpakdi, and 2 more authors
    In 2026 IEEE Global Conference on Consumer Electronics (GCCE), 2026
    DOI
    0 Google Scholar citations
  2. SoftwareX
    han2026pywsnsim.png
    PyWSNSim: A Python-based component-oriented simulation framework for sinkhole attack analysis in large-scale WSNs
    Seungwoo Han, Toshihisa Tanaka, and Su Man Nam
    SoftwareX, 2026 (JCR 2025 Impact Factor: 1.9, Q3)
    SCIE DOI Code
    1 Google Scholar citations
  3. ITC-CSCC
    han2025lightweight.png
    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 Paper Awards DOI
    0 Google Scholar citations