Dongwook Kwon received his BS degree in Electronics & Communications Engineering from Kwangwoon University in Seoul, South Korea. He is currently pursuing the MS degree in computer engineering at Kwangwoon University.

His research interests include deep learning, anomaly detection algorithms, and computer vision, with a focus on medical device security and industrial cyber-physical systems.

Publications

Conference Papers

  • Enhancing Medical Device Security with GNN-GRU Anomaly Detection Model
    D. Kwon, Y. Kang, and C. Park, The Korean Society of Medical & Biological Engineering, Nov 2023

  • Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU
    D. Kwon, Y. Kang, J. Yang, and C. Park, IEIE Artificial Intelligence and Signal Processing, Sep 2023, pp. 239-241

  • Analysis of Reconstruction-Based Multivariate ECG Time-Series Data for Arrhythmia Diagnosis
    D. Kwon, Y. Kang, and C. Park, The Korean Society of Medical & Biological Engineering, Nov 2022, pp. 425-426

Awards

  • Grand Prize (최우수상) - 프레임-이벤트 카메라 센서 기반 자동 백혈구 모니터링 연구
    신산업융합형임베디드시스템 전문인력양성사업, Nov 2024

  • Gold Prize (금상) - Minister’s Award - 영상처리를 활용한 스마트 항만 관리에 대한 연구
    스마트 해상물류 프로젝트 경진대회, 2021

  • Grand Prize (최우수상) - President’s Award - Research of Smart Kitchen IoT System Using Computer Vision & Deep Learning
    MY(Multi-Y)캡스톤 디자인 경진대회, 2021

  • Encouragement Award (장려상) - AI 해커톤, 2021

Interests
  • Deep Learning
  • Anomaly Detection
  • Computer Vision
  • Medical Device Security
  • Graph Neural Networks
  • Time-Series Analysis
Education
  • MS in Computer Engineering (Current)

    Kwangwoon University

  • BS in Electronics & Communications Engineering

    Kwangwoon University

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