Seungwoo Han

Seungwoo Han

PhD Student, Tokyo University of Agriculture and Technology

Tokyo University of Agriculture and Technology (東京農工大学), Japan

Seungwoo Han is currently a PhD student at Tokyo University of Agriculture and Technology (東京農工大学), Japan. He received his MSc degree in software engineering from Kwangwoon University in Seoul, South Korea.

His research interests include graph signal processing and representation learning.

Publications

Journal Articles

  • Y Kang, G Yang, H Eom, S Han, S Baek, S Noh, Y Shin, C Park, “GAN-based patient information hiding for an ECG authentication system”, Biomedical Engineering Letters, 13 (2), 197-207, 2023

  • 김광호, YS Hariyani, 한승우, 이현빈, 손량희, 박철수, “스마트 헬스 시티 구현을 위한 얼굴 영상기반 심박수 추출 딥러닝 모델 최적화”, 한국통신학회논문지, 45 (12), 2220-2228, 2020

  • 이충섭, 이원규, 한승우, 박철수, “스마트 헬스 시티를 위한 ECG 기반 부정맥 감지 SNN 알고리즘”, 한국통신학회논문지, 45 (12), 2193-2201, 2020

  • S Han, W Lee, H Eom, J Kim, C Park, “Detection of arrhythmia using 1D convolution neural network with LSTM model”, IEIE Transactions on Smart Processing & Computing, 9 (4), 261-265, 2020

  • H Eom, D Lee, S Han, YS Hariyani, Y Lim, I Sohn, K Park, C Park, “End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism”, Sensors, 20 (8), 2338, 2020

Thesis

  • 한승우, “심전도 기반 부정맥 감지를 위한 종단간 심층 뉴럴네트워크 설계”, 광운대학교 대학원 석사학위논문, 2021

Patents

  • 남수만, 박영선, 김해성, 최상영, 조경제, 한승우, “온라인 시험 화상 원격 관리 및 감독 시스템 (System for video remote management and supervision of online test)”, KR Patent 10-2321-9,170,000, 2021

  • 박철수, 이희준, 여민수, 한승우, “사용자의 집중도를 판단하는 방법 및 이를 위한 웨어러블 디바이스 (Wearable device and method for determining concentration degree of user)”, KR Patent 10-2231-9,790,000, 2021

  • 박철수, 유호영, 조만희, 한승우, “랜덤 소수 생성 방법 및 그를 위한 장치 (Method and apparatus for generating random prime)”, KR Patent 10-2217-9,280,000, 등록일자: 2021년 02월 15일

  • 박철수, 엄희상, 한승우, 율리순하리야니, “사용자의 혈압을 추정하기 위한 장치 및 방법 (Apparatus and method for estimating user’s blood pressure)”, KR Patent App. 10-2019-0,179,386, 2019년 12월 31일

Certificate

  • Craftsman Motor Vehicles Maintenance, Human Resources Development Service of Korea, 취득일자: 2016년 9월 23일
Interests
  • Graph Signal Processing
  • Representation Learning
  • Deep Learning
  • Arrhythmia Detection
  • Blood Pressure Estimation
  • Machine Learning
Education
  • PhD (Current)

    Tokyo University of Agriculture and Technology, Japan

  • MS in Software Engineering, 2021

    Kwangwoon University

  • BS in Cr Mechatronics, 2019

    Sahmyook University

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