M.S Course

Bio-Computing & Machine Learning Laboratory

M.S Course

Saehim Kwon

Saehim Kwon received his BS degree in Software Engineering from Gangneung-Wonju National University in Wonju, South Korea.
His research interests include e-health, deep learning and machine learning algorithms.

Journal Article



Communications



Choongseop Lee

Choongseop Lee(이충섭) received his BS degree in Computer Software and Engineering from Kwangwoon University in Seoul, South Korea.
His reasearch interests include machine learning and computational neuroscience.

Journal Article

Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks. 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, 30 March 2022

스마트 헬스 시티를 위한 ECG 기반 부정맥 감지 SNN 이충섭, 이원규, 한승우, & 박철수, “스마트 헬스 시티를 위한 ECG 기반 부정맥 감지 SNN 알고리즘”,2020, 한국통신학회논문지, 45(12), 2193-2201.


Communications

시계열 데이터 분석을 위한 시간 인코딩 기반 SNN 연구 이충섭, 박철수, “시계열 데이터 분석을 위한 시간 인코딩 기반 SNN 연구”, 대한전자공학회 하계종합학술대회, Jun. 2021, Jeju

Patent

손톱주름 모세혈관 속 백혈구의 수를 산출하기 위한 뉴로모픽 컴퓨팅 장치 (NEUROMORPHIC COMPUTING DEVICE FOR CALCULATING THE NUMBER OF WHITE BLOOD CELLS IN THE CAPILLARIES OF THE NAIL FOLD)
박철수, 이충섭, 율리 선 하리야니, 백수환, 출원번호: 10-2021-0190464, 출원일자: 2021년 12월 28일

뉴로모픽 컴퓨팅 장치 (NEUROMORPHIC COMPUTING DEVICE)
박철수, 이원규, 이충섭 출원번호: 10-2020-0161286 출원일자: 2020년 11월 26일

Jihwan Won

Jihwan Won received his BS degree in mechanical engineering from Dankook university, South Korea.
His research interests include machine learning, and deep learning algorithms.

Journal Article

 

Communications

 

Geunbo Yang

Geunbo Yang received his BS degree in Computer Engineering from Kwangwoon University in seoul, South Korea.
His research interests include machine learning algorithms, and SNN.

Journal Article

Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning J Kim, G Yang, J Kim, S Lee, KK Kim, C Park, “Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning”, MDPI Sensors 2021, 21, 1568, IF=3.735
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Communications

Jiseok Yang

Jiseok Yang received her BS degree in Department of Industrial Information System Engineering from Jeonbuk University in Jeonju, South Korea.
His research interests include machine learning, Deep learning, GNN, Datamining

Journal Article

 

 

Communications

 

Jihong Lee

Jihong Lee received her BS degree in Computer Engineering from Kwangwoon University in seoul, South Korea.
Her research interests include biomedical signal processing, reinforcement learning, GNN and SNN.

Journal Article

 

 

Communications

 

Yusang Nam

Yusang Nam received his BS degree in Electrical Engineering from Kwangwoon University in Seoul, South Korea.
His research interests include Computer Vision, Reinforcement Learning and Spiking Neural Networks.

Journal Article


Communications


Patent

Autoencoder를 이용한 SNN 인코더 학습 방법
박철수, 남유상, 출원번호: 10-2022-0191192 출원일자: 2022년 12월 30일

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