Seungwoo Han

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

prof_pic.jpg

Seungwoo Han (Student Member, IEEE) is a researcher in biomedical signal processing. He is currently pursuing the Ph.D. degree in electrical engineering and computer science from TUAT, Japan.

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.

His research focuses on integrating medical AI and IoT security toward the development of trustworthy healthcare systems.

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
    network security Code
  2. 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 Presentation Award healthcare 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
    healthcare DOI
    2 Google Scholar citations