Junghwan Lee received the B.S. degree in Computer Engineering at Kwangwoon University, Seoul, Republic of Korea. He is currently pursuing the Ph. D. 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

Awards

• Best Paper Award - “HR Prediction using Quaternion Convolutional Neural Networks from Video”
  남유상, 이정환, 박철수, 대한생체의공학회 춘계학술대회, May 2023