Jihong Lee
Jihong Lee received her BS degree in Computer Engineering from Kwangwoon University in seoul, South Korea. Her research interests include bio-medical signal processing, reinforcement learning and deep learning algorithms.
Journal Article
Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques
Jiseok Yang, Hanwoong Ryu, Jiwoon Lee, Jihong Lee, Cheolsoo Park, “Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques“, Journal of Broadcast Engineering, Jan 2024
Communications
혈압추정모델의 성능향상을 위한 강화학습 모델
이지홍, 박철수, “혈압추정모델의 성능향상을 위한 강화학습 모델”, 대한의용생체공학회 춘계학술대회, May, 2023
A Reinforcement Learning Approach to Determine the Calibration Interval of a Blood Pressure Prediction Model
윤성민, 이지홍, 류한웅, 박철수, “A reinforcement Learning Approach to Determine the Calibration Interval of a Blood Pressure Prediction Model”, 대한의용생체공학회 추계학술대회, Nov 2023, Seoul, Korea
Homographic adaptation 적용을 통한 손톱 주름 모세혈관의 의미론적 분할 성능 향상
이지홍, 강영신, 양지석, 이현태, 유성기, 박철수, “Homographic adaptation 적용을 통한 손톱 주름 모세혈관의 의미론적 분할 성능 향상“, 대한전자공학회 하계학술대회, June,2024
Award
우수상
얼굴 영상을 이용한 실시간 심박수 추정 시스템, 신산업융합형임베디드시스템 전문인력양성사업 지능정보시스템 플랫폼 분야 “실무역량강화 성과활용워크샵”, 남유상, 양근보, 이지홍, 박철수, Nov, 2023.
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
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
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
Remote-PPG를 이용한 감정 인식
남유상, 이정환, 권새힘, 이현태, 손량희, 박철수, “Human emotion recognition through remote photoplethysmogram”, 대한생체의공학회 춘계학술대회, Apr, 2024
Award
은상
재생e 예측 및 발전제약 평가 시스템, 대한전기학회 “스마트에너지 경진대회”, 최지웅, 임수빈, 남유상, 김대원, 이호준, 박준수, 박정수, 김동휘, Jul.2022
우수상
얼굴 영상을 이용한 실시간 심박수 추정 시스템, 신산업융합형임베디드시스템 전문인력양성사업 지능정보시스템 플랫폼 분야 “실무역량강화 성과활용워크샵”, 남유상, 양근보, 이지홍, 박철수, Nov, 2023.
우수 논문상
“HR Prediction using Quaternion Convolutional Neural Networks from Video”, 남유상, 이정환, 박철수, 대한생체의공학회 추계학술대회, May, 2023
Patent
Autoencoder를 이용한 SNN 인코더 학습 방법
박철수, 남유상
출원번호: 10-2022-0191192
출원일자: 2022년 12월 30일
Yoontae Park
Yoontae Park received his BS degree in Computer Engineering from Kwangwoon University in Seoul, South Korea. His research interests include machine learning algorithms, Deep learning, and Reinforcement Learning
Journal Article
Brain-Inspired Learning Rules for Spiking Neural Network-based Control: A Tutorial
Choongseop Lee†, Yuntae Park†, Seongmin Yoon†, Jiwoon Lee†,
Youngho Cho, Cheolsoo Park (accepted). “Brain-Inspired Learning
Rules for Spiking Neural Network-based Control: A Tutorial.“ Biomedical Engineering Letters. 2024. (SCIE, Co-first author: IF=3.2, JCR Top 54.1%)
Classfication using a Spiking Neural Network:A Review
Yoontae
Park, Unang Sunarya, Geunbo Yang, Choongseop Lee, Jaewoo Baek, Suwhan
Baek, Cheolsoo Park, “Classification using a Spiking Neural Network:A
Review” , IEIESPC 2023-02(KCI, vol.12 No.01)
Communications
Dongwook Kwon
Dongwook Kwon received his BS degree in Electronics & Communications Engineering from Kwangwoon University in Seoul, South Korea. His research interests include deep learning, anmaly detection algorithim, computer vision.
Journal Article
Communication
Enhancing Medical Device Security with GNN-GRU Anomaly Detection Model
D. Kwon, Y. Kang, and C. Park, “Enhancing Medical Device Security with GNN-GRU Anomaly Detection Model,” The Korean Society of Medical & Biological Engineering, Nov 2023.
Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU
D. Kwon, Y. Kang, J. Yang, and C. Park, “Real-Time Anomaly Detection in Industrial Cyber-Physical Systems Using Deep Learning based Bidirectional GRU,” IEIE Artificial Intelligence and Signal Processing, Sep 2023, pp. 239-241.
Analysis of Reconstruction-Based Multivariate ECG Time-Series Data for Arrhythmia Diagnosis
D. Kwon, Y. Kang, and C. Park, “Analysis of Reconstruction-Based Multivariate ECG Time-Series Data for Arrhythmia Diagnosis,” The Korean Society of Medical & Biological Engineering, Nov 2022, pp.425-426.
Award
영상처리를 활용한 스마트 항만 관리에 대한 연구 (2021)
2021 스마트 해상물류 프로젝트 경진대회 금상[장관상] 수상
Research of Smart Kitchen IoT System Using Computer Vision & Deep Learning (2021)
2021 MY(Multi-Y)캡스톤 디자인 경진대회 최우수상[총장상] 수상
AI 해커톤 (2021)
2021 AI 해커톤 장려상 수상
Jiwoon Lee
Jiwoon Lee received his BS degree in Computer Engineering from Kwangwoon University in Seoul, South Korea.
His research interests include computational neuroscience, signal processing and brain-computer interfaces. Lee's work focuses on applying advanced computational methods to understand neural processes and develop innovative brain-computer interaction technologies.
Journal Article
Brain-Inspired Learning Rules for Spiking Neural Network-based Control: A Tutorial
Choongseop Lee†, Yuntae Park†, Seongmin Yoon†, Jiwoon Lee†, Youngho Cho, Cheolsoo Park. “Brain-Inspired Learning Rules for Spiking Neural Network-based Control: A Tutorial.“ Biomedical Engineering Letters. 2024. (SCIE, Co-first author: IF=3.2, JCR Top 54.1%)
Deep Neural Network-based Empirical Mode Decomposition for Motor Imagery EEG Classification
Hyunsoo Yu†, Suwhan Baek†, Jiwoon Lee†, Ilsoo Sohn, Bosun Hwang, Cheolsoo Park. “Deep Neural Network-based Empirical Model Decomposition for Motor Imagery EEG Classification.“ IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2024. (SCIE, Co-first author: IF=4.8, JCR Top 2.9%)
Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Models
Jiseok Yang, Jinseok Kim, Hanwoong Ryu, Jiwoon Lee, Cheolsoo Park. “Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Models“. Electronics 13, no. 12: 2345. Jun 2024. (SCIE, Co-author: IF=2.9, JCR Top 49.6%)
Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques
Jiseok Yang, Hanwoong Ryu, Jiwoon Lee, Jihong Lee, Cheolsoo Park, “Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques“, Journal of Broadcast Engineering 29, no. 1. Feb 2024. (KCI, Co-author)
Communication
Metaverse: Research Based Prediction Model of the Car Price in view of the Machine-learning Method
Jiseok Yang, Jinseok Kim, Jiwoon Lee, Hanwoong Ryu, Seonghyeok Yeo, Panjung Kim, Yoonki Kim, Jiyeun Lim, Hyunjoon Yoon, Cheolsoo Park, “Metaverse: Research Based Prediction Model of the Car Price in the view of the Machine-learning Method”, IEEE International Conference on Metaverse Computing, Networking and Applications (IEEE MetaCom 2023), Jun 2023, Kyoto, Japan
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”, 2023 대한의용생체공학회 춘계 학술대회, Apr 2023, Daegu, Korea
Denoising Diffusion Probabilistic Model based Time-Series ECG data Interpolation
이지운, 박철수, “Denoising Diffusion Probabilistic Model based Time-Series ECG data Interpolation”, 2022 대한의용생체공학회 추계 학술대회, Nov 2022, Incheon, Korea
Restoration of Time-Series Medical Data with Diffusion Model
J. Lee, C. Park, “Restoration of Time-Series Medical Data with Diffusion Model”, 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Oct 2022, Yeosu, Korea
Design of Explainable AI Model with LIME for Single Channel Electroencephalogram
S. Baek, H. Yu, J. Lee, C. Park, “Design of Explainable AI Model with LIME for Single Channel Electroencephalogram”, 2022년도 대한전자공학회 하계종합학술대회, Jun 2022, Jeju, Korea
Arrhythmia Classification Using 1D-2D Conversion
S. Baek, S. Han, J. Lee, W. Lee, C. Park, “Arrhythmia Classification Using 1D-2D Conversion”, u-Healthcare 2019, Dec 2019, Seoul, Korea
Award
Excellence Award (Director of Korea Electronics Technology Institute Award)
“SNN-based arm motion imitation robot arm control algorithm using EMG and DVS”, the World Embedded Software Contest 2023, Dec 2023
Best Paper Award (IEEE, IEIE)
Oral session, “Restoration of Time-Series Medical Data with Diffusion Model”, 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Oct 2022
Excellence Award (Republic of Korea Minister of Defense Award)
“Real-Time Matchmaking System Development using Machine Learning algorithm“, 2021 Ministry of National Defense Start-Up Challenge, Dec 2021
Grand Prize
“Text-To-Speech based on Generative Adversarial Network”, The 1st Kwangwoon University Chambit Design Semester Performance Presentation, Dec 2019
Hanwoong Ryu
Hanwoong Ryu received his BS degree in Computer Engineering from Kwangwoon University in Seoul, South Korea.
His research interests include LLM, Deep Learnning, Coumputer Vision, and Time Series. He was a summer trainee at the Electronics and Telecommunications Research Institute (ETRI) from 24.07.01 to 24.08.31.
Journal Article
Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Models
Jiseok Yang, Jinseok Kim, Hanwoong Ryu, Jiwoon Lee, Cheolsoo Park, “Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Models“, MDPI Electronics, June 2024
Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques
Jiseok Yang, Hanwoong Ryu, Jiwoon Lee, Jihong Lee, Cheolsoo Park, “Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques“, Journal of Broadcast Engineering, Jan 2024
Communication
Optimization and Advancement of 1D Convolution-based RepVGG Model for Efficient Blood Pressure Prediction
류한웅, 윤성민, 박철수, “Optimization and Advancement of 1D Convolution-based RepVGG Model for Efficient Blood Pressure Prediction”, 대한의용생체공학회 추계학술대회, Nov 2023, Seoul, Korea
A Reinforcement Learning Approach to Determine the Calibration Interval of a Blood Pressure Prediction Model
윤성민, 이지홍, 류한웅, 박철수, “A reinforcement Learning Approach to Determine the Calibration Interval of a Blood Pressure Prediction Model”, 대한의용생체공학회 추계학술대회, Nov 2023, Seoul, Korea
Patent
LEARNING APPARATUS AND LEARNING METHOD FOR ESTIMATING BLOOD PRESSURE USING GENERATION MODEL
박철수, 류한웅, 강영신, 출원번호: 10-2023-0185451, 출원일자: 2023.12.19, 출원국가: 대한민국
LLM 기반 차량 추천 시스템
박철수, 양지석, 류한웅, 출원번호: 10-2023-0190509, 출원일자: 2022.12.22, 출원국가: 대한민국
Minji Kim
Minji Kim received her BS degree in Electrical Engineering from Kwangwoon University in Seoul, South Korea. Her research interests include Computer Vision, Machine learning algorithms, Drone Detection
Award
우수상
최희우, 안태현, 김민지, 김수현, IoT 기반의 지능화 금고 보안 시스템, 한국정보처리학회, ICT 멘토링 ACK 학술대회 2021
MORAI 특별상
권일혁, 김민지, 전인석, 서울 버추얼 자율주행 챌린지, 서울특별시/MORAI, 2023,
배달의민족 자율주행부문 특별상
권일혁, 김민지, 전인석, 홍영준, R-BIZ Challenge 푸드딜리버리, 한국로봇산업진흥원/배달의 민족, 2023,