Intern

Bio-Computing & Machine Learning Laboratory

Intern

Suwhan Baek

Introduce

Suwhan Baek is junior in computer engineering from Kwangwoon University in Seoul, South Korea.
His research interests include overall Medical AI and Auto ML(ENAS). He is also attracted by reinforcement learning, generative models, and SNN

Communications

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, Dec 2019, Kookmin University

 

Unang Sunarya, Yuli Sun Hariyani, Taeheum Cho, Suwhan Baek, Sayup Kim, Jongryun Roh, Choelsoo Park, “Three Classification Classes of Gait Type Using Step Segmentation”, u-Healthcare 2019, Dec 2019, Kookmin University

백수환, 노종련, 김사엽, 박철수, “머신러닝을 이용한 이상보행 검출”, 신호처리합동학술대회, 대전, 2019.09

Patents

“Method For Measuring Health Condition Of User And Apparatus Therefor” S. Baek, C. Park, Kor-patents 10-2019-0157809, 2019.11

Jaewoo Baek

Introduce

Jaewoo Beak(백재우) is senior in computer engineering from Kwangwoon University in Seoul, South Korea. His reasearch interests include biological signal processing ,machine learning, deep learning and reinforcement learning.

 

Communication

백재우, 이석민, 이영준, 이호찬, 박철수 “EEG 단체널 기반 Inception 네트워크와 순환 신경망을 결합한 자동 수면 단계 분류기”, 대한전자공학회 하계학술대회, 제주, 2021.06

Hyeonbin Lee

Introduce

Hyeonbin Lee is junior in Software from Kwangwoon University in Seoul, South Korea His research interests include security, machine learning algoritms, deep learning, reinforcement learning.

Gwangho Kim

Introduce

Gwangho Kim is junior in Department of Software from Kwangwoon University in Seoul, South Korea.
His research interests include deep learning, reinforcement learning.