Intern

Bio-Computing & Machine Learning Laboratory

Intern

Jiwoon Lee

Introduce

Jiwoon Lee is an undergraduate student pursuing a B.S. in Computer Engineering at Kwangwoon University, Seoul, South Korea. His research interests include computational neuroscience, signal processing, information theory, and statistical machine learning.
 

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

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 하계종합학술대회Jun 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

Patent

Restoration method for corrupted Time-series medical data based on Probabilistic model
KOR 10-2022-0189990, J. Lee, G. Yang, and C. Park, “Restoration method for corrupted Time-series medical data based on Probabilistic model”, Dec 2022

AR navigation service using the Indoor Positioning System and Beacon
KOR 10-2016-0045279, J. Lee, “AR navigation service using the Indoor Positioning System and Beacon”, Apr 2016

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 and TrueSkillalgorithm”, 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

GitHub
Google Scholar
LinkedIn

Dongwook Kwon

Introduce

Dongwook Kwon is Senior in Electronics & Communications Engineering from Kwangwoon University in Seoul, South Korea. His research interests include deep learning, anomaly detection algorithm, computer vision.

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

Hanwoong Ryu

Introduce

Hanwoong Ryu is Junior in Computer Engineering from Kwangwoon University in Seoul, South korea. His interest include Machine Learning Algorithms, Neural Network, and Time Series Data.

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

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

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

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

Mincheol Kwon

Introduce

Mincheol Kwon is Junior in computer engineering from Kwangwoon University in Seoul, South korea. His research interest is Deep Learning, Machine Learning and Computer Vision.

Communication

 

Sungmin Yoon

Introduce

Sungmin Yoon is Junior in Computer Engineering from Kwangwoon
University in Seoul, South Korea. His research interests include Reinforcement
Learning, Mathematics, and Spiking neural network.

GitHub

LinkedIn

Communication

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

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

Structural Reparameterization을 활용한 효율적인 실시간 혈압 추정 모델
윤성민, 박철수, “Structural Reparameterization을 활용한 효율적인 실시간 혈압 추정 모델”, 대한전자공학회 인공지능신호처리 학술대회, Sep 21th-22nd, 2023, Daegu, Korea 170-173

Award

Best Paper Award
Oral session, “A Reinforcement Learning Approach to Determine the Calibration Interval of a
Blood Pressure Prediction Model”, 대한의용생체공학회 추계학술대회, Nov 2023