Suwhan Baek is currently a researcher at Posco Holdings. He received his B.Eng. and M.Eng. degree in computer engineering from Kwangwoon University in Seoul, Republic of Korea.

His research interests include Medical AI and Auto ML. He is also attracted by reinforcement learning, generative models, and Spiking Neural Networks (SNN).

Publications

Journal Articles

• J Lee, Y Nam, J Won, S Baek, D Sim, R Sohn, C Park, “Multi-task Learning for Estimation of Remote PPG and Respiration rate with Complex valued Convolutional Neural Network” (Under review)

• S Baek, J Lee, “Snn and sound: a comprehensive review of spiking neural networks in sound”, Biomedical Engineering Letters, 14 (5), 981-991, 2024

• H Yu, S Baek, J Lee, I Sohn, B Hwang, C Park, “Deep neural network-based empirical mode decomposition for motor imagery EEG classification”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024

• 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

• Y Park, U Sunarya, G Yang, S Baek, “Classification using a Spiking Neural Network: A Review”, IEIE Transactions On Smart Processing & Computing, 64-71, 2023

• S Baek, J Kim, H Yu, G Yang, I Sohn, Y Cho, C Park, “Intelligent feature selection for ECG-based personal authentication using deep reinforcement learning”, Sensors, 23 (3), 1230, 2023

• J Baek, C Lee, H Yu, S Baek, S Lee, S Lee, C Park, “Automatic sleep scoring using intrinsic mode based on interpretable deep neural networks”, IEEE Access, 10, 36895-36906, 2022

• S Baek, J Baek, H Yu, C Lee, C Park, “Explainable sleep staging Algorithm using a single-channel electroencephalogram”, IEIE Transactions on Smart Processing & Computing, 11 (1), 8-13, 2022

• S Baek, H Yu, J Roh, J Lee, I Sohn, S Kim, C Park, “Effect of a recliner chair with rocking motions on sleep efficiency”, Sensors, 21 (24), 8214, 2021

• J Baek, S Baek, HS Yu, JH Lee, C Park, “End-to-end automatic sleep staging Algorithm using convolution neural network and bidirectional LSTM”, IEIE Transactions on Smart Processing & Computing, 10 (6), 464-468, 2021

• H Eom, J Roh, YS Hariyani, S Baek, S Lee, S Kim, C Park, “Deep learning-based optimal smart shoes sensor selection for energy expenditure and heart rate estimation”, Sensors, 21 (21), 7058, 2021

• S Baek, H Eom, YS Hariyani, G Kim, J Roh, S Kim, C Park, “Deep learning based heart rate estimation using smart shoes sensor”, 2020 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2020

Conference Papers

• Baek, Suwhan, et al., “Deep Learning Based Heart Rate Estimation Using Smart Shoes Sensor”, 2020 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), IEEE, 2020

• S. Baek, S. Han, J. Lee, W. Lee, C. Park, “Arrhythmia Classification Using 1D-2D Conversion”, u-Healthcare 2019, Kookmin University, Dec. 2019

Patents

• C Park, C Lee, YS Hariyani, S Baek, “NEUROMORPHIC COMPUTING DEVICE FOR CALCULATING THE NUMBER OF WHITE BLOOD CELLS IN THE CAPILLARIES OF THE NAIL FOLD”, KR Patent 1,026,629,870,000, 2024

• S. Baek, C. Park, “Method For Measuring Health Condition Of User And Apparatus Therefor”, Kor-patents 10-2019-0157809, Nov. 2019