Junghwan Lee received the B.S. degree in Computer Engineering at Kwangwoon University, Seoul, Republic of Korea. He is currently pursuing the PhD degree in computer engineering at Kwangwoon University, Seoul, South Korea.

His research interests include machine learning and deep learning algorithms, with a focus on remote photoplethysmography, biomedical signal processing, and quaternion-based neural networks.

Publications

Journal Articles

  • Continuous Blood Pressure Estimation using 1D Convolutional Neural Network and Attention Mechanism
    서유정, 이정환, Unang Sunarya, 이광기, 박철수, IEIE Transactions on Smart Processing & Computing

  • End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM
    백재우, 백수환, 유현수, 이정환, 박철수, IEIE Transactions on Smart Processing & Computing

  • End-to-end Convolutional Neural Network Design for Automatic Detection of Influenza Virus
    Junghwan Lee, Heesang Eom, Yuli Sun Hariyani, Cheonjung Kim, Yongkyoung Yoo, Junghoon Lee and Cheolsoo Park, IEIE Transactions on Smart Processing & Computing 10.1 (2021): 31-36

  • Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation
    이희진, 이정환, 권유진, 권지윤, 박성민, 손량희, 박철수, MDPI Sensors

Selected Conference Papers

  • Prediction of Heart Rate and SpO2 in Facial Videos using Quaternion-based Convolutional Neural Networks
    이정환, 남유상, 박철수, 대한생체의공학회 추계학술대회, Oct 2023

  • Complex-valued neural networks를 통한 호흡 신호 예측
    이정환, 박철수, 대한생체의공학회 춘계학술대회, May 2023

  • SpO2 estimation using End-to-End CNN based on Facial video
    이정환, 박철수, ICCE-Asia, Oct 2022

  • Design of Quaternion-based Neural Networks for Non-contact Heart Rate Monitoring
    윤영훈, 이정환, 박철수, ICCE-Asia, Oct 2022

  • HR Prediction using Quaternion Convolutional Neural Networks from Video
    이정환, 남유상, 박철수, 대한생체의공학회 춘계학술대회, May 2022

  • Complex Value-Based Multi-Task Learning for Remote PPG Measurement
    이정환, 박철수, ICBHI, Aug 2021

Awards

  • Best Paper Award - “HR Prediction using Quaternion Convolutional Neural Networks from Video”
    남유상, 이정환, 박철수, 대한생체의공학회 춘계학술대회, May 2023
Interests
  • Machine Learning
  • Deep Learning
  • Remote Photoplethysmography (rPPG)
  • Biomedical Signal Processing
  • Quaternion-based Neural Networks
  • Non-contact Vital Sign Monitoring
Education
  • PhD in Computer Engineering (Current)

    Kwangwoon University

  • BS in Computer Engineering

    Kwangwoon University

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