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.
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
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
PhD in Computer Engineering (Current)
Kwangwoon University
BS in Computer Engineering
Kwangwoon University