Ph.D Course

Bio-Computing & Machine Learning Laboratory

Ph.D Course

Youngshin Kang

Young-shin Kang received the B.S. degree in computer engineering from Far East University, Chungbuk, South Korea.
She is currently pursuing the PHD degree in computer engineering at Kwangwoon University, Seoul, South Korea.
Her research interests include lightweight deep learning algorithms, signal processing, and the Internet of Things.

Journal Article

GAN-Based patient information hiding for an ECG authentication system
Y Kang, G Yang, H Eom, S Han, S Baek, S Noh, Y Shin, C Park, “GAN-Based patient informationn for an ECG authentication system”, Biomedical Engineering Letters, 2023, 197-297, IF=3.92.

Broken Heart: Privacy Leakage Analysis on ECG-Based Authentication Schemes
S Noh, J Kim, S Lee, Y Kang, C Park, Y Shin, “Broken Heart: Privacy Leakage Analysis on ECG-Based Authentication Schemes”, Security and Communication Networks, 2022.09.29., 1-15, IF=2.51.

Optimal Design of Convolutional Neural Network for EEG-based Authentication
HB Lee, G Kim, YS Kang, C Park, “Optimal Design of Convolutional Neural Network for EEG-based Authentication”, IEIE Transactions on Smart Processing & Computing, 등급=SPC, 2021.06.30., 199-203, IF=0.57.

Communications

Blood pressure estimation based on Graph convolution network with peak to peak interval
강영신, 권동욱, 박철수, “Blood pressure estimation based on Graph convolution network peak to peak interval”, 대한의용생체공학회 추계학술대회, Nov, 2023.

Enhancing Medical Device Security with GNN-GRU Anomaly Detection Model
권동욱, 강영신, 박철수, “Enhancing Medical Device Security with GNN-GRU Anomaly Detection Model”, 대한의용생체공학회 추계학술대회, Nov, 2023.

Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU
권동욱, 강영신, 박철수, “Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU”, 대한전자공학회 인공지능신호처리 학술대회, Sep, 2023.

A Reconstruction Algorithm Employing Diffusion Model for Generating Multivariate Time Series Biosignals
강영신, 이지운, 박철수, “A Reconstruction Algorithm Employing Diffusion Model for Generating Multivariate Time Series Biosignals”, 대한의용생체공학회 춘계학술대회, May, 2023, 345-346.

Supervise-based Random Sampled Spike Encoding Algorithm for Image Classification in Deep Spiking Neural Networks
양근보, 강영신, 박철수, “Supervise-based Random Sampled Spike Encoding Algorithm for Image Classification in Deep Spiking Neural Networks”, 대한의용생체공학회 춘계학술대회, May, 2023, 244-245.

확산 모델을 이용한 다변량 시계열 생체 신호 생성을 위한 복원 알고리즘
강영신, 이지운, 박철수, “확산 모델을 이용한 다변량 시계열 생체 신호 생성을 위한 복원 알고리즘”, 2023 대한의용생체공학회 춘계 학술대회, Daegu, South Korea, Apr 2023

Analysis of Reconstruction-Based Multivariate ECG Time-Series Data for Arrhythmia Diagnosis
권동욱, 강영신, 박철수, “Analysis of Reconstruction-Based Multivariate ECG Time-Series Data for Arrhythmia Diagnosis”, 대한의용생체공학회 추계학술대회, Nov, 2022, 425-426.

Lightening of EEG-based personal authentication model using knowledge distillation technique
강영신, 박철수, “Lightening of EEG-based personal authentication model using knowledge distillation technique”, 대한전자공학회 하계종합학술대회, Jun, 2022, 793-796.

Generative Adversarial Network를 이용한 ECG 기반 개인인증 시스템의 데이터 프라이버시 보존
강영신, 이현빈, 박철수, “Generative Adversarial Network를 이용한 ECG 기반 개인인증 시스템의 데이터 프라이버시 보존”, 대한전자공학회 하계종합학술대회, Jun. 2021, Jeju

A Secure and Privacy-Preserving ECG-based Personal Authentication
Y. Kang, H. Lee, Y. Shin, C. Park, “A Secure and Privacy-Preserving ECG-based Personal Authentication”, 2021 IEEE International Conference on Smart Internet of Things (SmartIoT), Online, 2021

뇌파 신호를 이용한 딥러닝 기반 개인인증 연구
강영신, 엄희상, 김주형, 이현빈, 박철수, “뇌파 신호를 이용한 딥러닝 기반 개인 인증 연구”, 대한전자공학회 신호처리합동학술대회, 2020.09.24-25, Online

 

Award

우수 논문상
“Enhancing Medical Device Security with GNN-GRU Anomaly Detection Model”, 권동욱, 강영신, 박철수, 대한의용생체공학회 추계학술대회, Nov, 2023.

 

Patent

사용자 인증이 가능한 마스크 장치 (MASK DEVICE CAPABLE OF USER AUTHENTICATION)
박철수, 김주형, 강영신, 유현수, 출원번호: PCT/KR2021/017307, 출원일자: 2021.11.24, 출원국가: PCT에 귀속되는 모든 체약국 (국제특허)

GPT API를 사용한 네트워크 이상치 탐지 방법 (GPT API-BASED NETWORK ANOMALY DETECTION),
박철수, 권동욱, 강영신, 출원번호: 10-2023-0139066, 출원일자: 2023.10.17., 출원국가: 대한민국.

사용자 인증 시 사용자 정보 유출을 방지하기 위한 방법 및 장치 (APPARATUS AND METHOD FOR PREVENTING USER INFORMATION LEAKAGE DURING USER AUTHENTICATION)
박철수, 강영신, 이현빈, 신영주, 특허: 10-2535632, 등록일: 2023.05.18., 등록국가: 대한민국.

신체 이식형 의료 디바이스의 이상 감지 (METHOD FOR IMPLANTABLE MEDICAL DEVICE TO DETECT ANOMALY IN REAL LIFE)
박철수, 강영신, 권동욱, 출원번호: 10-2022-0164087, 출원일자: 2022.11.30., 출원국가: 대한민국

사용자 인증시 사용자 정보 유출을 방지하기 위한 방법 및 장치
박철수, 강영신, 이현빈, 신영주, 출원번호: 10-2021-0146048, 출원일자: 2021.10.28, 출원국가: 대한민국

사용자 인증이 가능한 마스크 장치 (MASK DEVICE CAPABLE OF USER AUTHENTICATION)
박철수, 김주형, 강영신, 유현수, 출원번호: 10-2020-0159294, 출원일자: 2020.11.24, 출원국가: 대한민국

Junghwan Lee

Junghwan Lee received the B.S. dgree in Computer Engineering at Kwangwoon University, Seoul, Republic of Korea.
He is currently pursuing the PHD degree in coumputer engineering at Kwangwoon University, Seoul, South Korea.
His research interests include machine learning, and deep learning algorithms.

Journal Article

Continuous Blood Pressure Estimation using 1D Convolutional Neural Network and Attention Mechanism
서유정, 이정환, Unang Sunarya, 이광기, 박철수, “Continuous Blood Pressure Estimation using 1D Convolutional Neural Network and Attention Mechanism”, SPC IEIE.

End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM
백재우, 백수환, 유현수, 이정환, 박철수, “End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM”, IEIE SPC.

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. “End-to-end Convolutional Neural Network Design for Automatic Detection of Influenza Virus.” IEIE Transactions on Smart Processing & Computing 10.1 (2021): 31-36.

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Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation
이희진, 이정환, 권유진, 권지윤, 박성민, 손량희, 박철수, “Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation”, MDPI sensors.


Communications

Prediction of Heart Rate and SpO2 in Facial Videos using Quaternion-based Convolutional Neural Networks
이정환, 남유상, 박철수, “Prediction of Heart Rate and SpO2 in Facial Videos using Quaternion-based Convolutional Neural Networks”, 대한생체의공학회 추계학술대회, Oct 2023.

Complex-valued neural networks를 통한 호흡 신호 예측
이정환, 박철수, “Complex-valued neural networks를 통한 호흡 신호 예측”, 대한생체의공학회 춘계학술대회, May, 2023.

SpO2 estimation using End-to-End CNN based on Facial video
이정환, 박철수, “SpO2 estimation using End-to-End CNN based on Facial video”, ICCE-Asia, Oct, 2022.

Design of Quaternion-based Neural Networks for Non-contact Heart Rate Monitoring
윤영훈, 이정환, 박철수, “Design of Quaternion-based Neural Networks for Non-contact Heart Rate Monitoring”, ICCE-Asia, Oct, 2022.

HR Prediction using Quaternion Convolutional Neural Networks from Video
이정환, 남유상, 박철수, “HR Prediction using Quaternion Convolutional Neural Networks from Video”, 대항생체의공학회 춘계학술대회, May 2022.

Complex Value-Based Multi-Task Learning for Remote PPG Measurement
이정환, 박철수, “Complex Value-Based Multi-Task Learning for Remote PPG Measurement”, ICBHI, Aug, 2021.

Complex-valued를 사용한 CNN 구조를 이용하여 Remote PPG 예측 모델 구현
이정환, 박철수, “Complex-valued를 사용한 CNN 구조를 이용하여 Remote PPG 예측 모델 구현”, 대한전자공학회 하계종합학술대회, Jun. 2021, Jeju.

Quaternion CNN을 이용한 심박수 추정
이정환, 박철수, “Quaternion CNN을 이용한 심박수 추정” 하계전자공학회, Jun, 2021.


Award

우수 논문상
“HR Prediction using Quaternion Convolutional Neural Networks from Video”, 남유상, 이정환, 박철수, 대한생체의공학회 추계학술대회, May 2023.