Jaewoo Baek (백재우) is currently a researcher at Hanwha Systems. He received his B.Eng. and M.Eng. degree in computer engineering from Kwangwoon University in Seoul, Republic of Korea.

His research interests include biological signal processing, machine learning, deep learning and reinforcement learning, with a focus on sleep stage classification using EEG signals.

Publications

Journal Articles

• Suwhan Baek, Jeawoo Baek, Hyunsoo Yu, Chungseop Lee, Cheolsoo Park, “Explainable Sleep Staging Algorithm using a Single-channel Electroencephalogram”, IEIE Transactions on Smart Processing & Computing, 11(1), 8-13, 2022

• Jaewoo Baek, Choongseop Lee, Hyunsoo Yu, Suwhan Baek, Seokmin Lee, Seungmin Lee, and Cheolsoo Park, “Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks”, IEEE Access, March 30, 2022, IF=3.367

• Jaewoo Baek, Suwan Baek, HyunSu Yu, JungHwan Lee, and Cheolsoo Park, “End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM”, IEIE Transactions on Smart Processing & Computing, Dec. 2021, 464-468, IF=0.83

Conference Papers

• Suwhan Baek, Jaewu Baek, Hyunsoo Yu, Cheolsoo Park, “Decision Support System for Estimating Sleep Stages Using Single Channel EEG with Attention Mechanism”, Summer Annual Conference of IEIE, Jeju, Jun. 2021

• 백재우, 이석민, 이영준, 이호찬, 박철수, “EEG 단채널 기반 Inception 네트워크와 순환 신경망을 결합한 자동 수면 단계 분류기”, 대한전자공학회 하계학술대회, 제주, Jun. 2021

Awards

• 제 5회 산학연계 SW프로젝트 전시회 총장상, 2021
  • 프로젝트명: “딥러닝 및 Auto ML 기반 시계열 데이터 분석을 통한 일상 생활 패턴 분석”