Seungwoo Han (한승우)

I am a PhD student at Biosignal informatics Lab. at Tokyo University of Agriculture and Technology advised by Prof. Toshihisa Tanaka. My research focuses on graph representation learning applied to physiological signal processing.

I completed a MSc degree from Kwangwoon University under the supervision of Prof. Cheolsoo Park, where I studied arrhythmia classification using deep learning.

I have been actively involved in interdisciplinary research and international collaborations. I am currently working with Prof. Su Man Nam from Cheongju University on modeling and simulation, and with Dr. Unang Sunarya from Telkom University on biomedical engineering. I am always open to new collaborative opportunities, so please feel free to reach out via email.

Email  /  Google Scholar  /  Naver  /  LinkedIn  /  Github

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    Selected Publications
Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix
Seungwoo Han
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
    Awards
  • Best Paper Award @ KSME IT Intelligence Convergence Spring Conference 2024
  • Excellence Student Paper Award @ IEIE Summer Conference 2022
  • 3rd Place @ Cyber Security AI and Big Data Competition 2021

    Academic Services
  • Reviewer
    1. - Machine Learning: IEEE IJCNN (2025)
      - Signal Processing: IEEE ICASSP (2025), IEEE WASPAA (2025)

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