Intern

Bio-Computing & Machine Learning Laboratory

Intern

Jiwoon Lee

Introduce

Jiwoon Lee is an undergraduate student at Kwangwoon University in Seoul, South Korea, working towards a B.S. in Computer Engineering. Specializing in computational neuroscience, signal processing, brain-computer interfaces, and statistical machine learning,
 

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

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

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

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

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

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.

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

GitHub

LinkedIn

Hyunju Song

Introduce

Hyunju Song is a senior in Computer Enginering at Daejin University in Gyeonggi-do, South Korea. Her interests include Machine Learning Algorithms and Spiking Neural Networks.

Communication

 

Hyuntae Lee

Introduce

Hyuntae Lee is a senior in Computer science at Kwangwoon University in Seoul, South Korea. His interests include Machine Learning algorithms, Deep Learning algorithms.

Communication

 

Woojin Choi

Introduce

Woojin Choi is Sophomore in Computer Engineering from Kwangwoon University in Seoul, South Korea. HIs interests include Digital Health Care of medical imaging and diagnosis, health monitoring using wearable devices and sensors, and medical robotics and automation in the digital healthcare industry.

Communication

 

Sunwoo Yeon

Introduce

Sunwoo Yeon is a Junior in Computer Engineering from Kwangwoon University in Seoul, South Korea. His interests include Machine Learning Algorithms, and Time Series Data, Particularly focusing on Stock market analysis.

Communication

 

Hojun Nam

Introduce

Hojun Nam is sophomore in Computer Engineering from Kwangwoon University in Seoul, South Korea. His research interests include EEG signal, Neuroscience, Signal processing, Brain-computer interface.

Communication

 

Jaeyong Kim

Introduce

Jaeyong Kim is Junior in Computer Engineering from Kwangwwon University in Seoul, South Korea. His interests include Machine Learing algorithms, Natural Language Processing, and Neural network.

Communication

 

Hyeonjung Kim

Introduce

Hyeonjung Kim is Junior in Computer Engineering from Kwangwoon University in Seoul, South Korea. His research interests include Anomaly detection, Natural Language Preocessing

Communication