Members
Youngjoo Kim
PhD student, University of Groningen (Rijksuniversiteit Groningen, RUG)
Youngjoo Kim is currently a PhD student in the Scientific Visualization and Computer Graphics (SVCG) group, within the Johann Bernoulli Institute of Mathematics and Computer Science (JBI) of University of Groningen (RUG), Netherlands. She is currently jointly working with the Kapteyn Astronomical Institute. She received her BS and MS degree in computer engineering from Kwangwoon University, Seoul, Republic of Korea, in 2015 and 2017, respectively. Her research interests include visual analytics in big data and blind signal processing with applications in astronomy and biomedicine.
Correlation Assisted Strong Uncorrelating Transform Complex Common Spatial Patterns for Spatially Distant Channel Data
Y. Kim, J. You, H. Lee, S.M. Lee, and C. Park, “Correlation Assisted Strong Uncorrelating Transform Complex Common Spatial Patterns for Spatially Distant Channel Data,” Computational Intelligence and Neuroscience, May 15, 2018. (doi:10.1155/2018/4281230)
Multivariate Time-Frequency Analysis of Uterine Electromyogram for Separation of Term and Preterm Labor
(Accepted) J. Ryu, Y. Kim (Equal Contributor), S. M. Lee, D. Sim, K. S. Park and C. Park, “Multivariate Time-Frequency Analysis of Uterine Electromyogram for Separation of Term and Preterm Labor,” JEET, 2018.
Flexible and Printed PPG Sensors for Estimation of Drowsiness
G.-S. Ryu, J. You, V. Kostianovskii, E.-B. Lee, Y. Kim, C. Park, and Y.-Y. Noh, “Flexible and Printed PPG Sensors for Estimation of Drowsiness.” IEEE Transactions on Electron Devices, Vol. 65, No. 7, pp. 2997-3004, 2018.
Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns
Y. Kim, J. Ryu, K.K. Kim, C.C Took, D.P. Mandic, C. Park, “Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns,” Computational Intelligence and Neuroscience, Oct 3, 2016. (doi:10.1155/2016/1489692)
K.B. Lee, K.K. Kim, J. Song, J. Ryu, Y. Kim, C. Park, “Estimation of Brain Connectivity during Motor Imagery Tasks using Noise-Assisted Multivariate Empirical Mode Decomposition,” JEET, vol. 11, 2016.
Y. Kim and C. Park, “Strong Uncorrelated Transform Applied to Spatially Distant Channel EEG Data” IEIE Transactions on Smart Processing and Computing, vol. 4, pp. 97-102, Apr. 2015.
Classification of Human Attention to Multimedia Lecture
H. Lee, Y. Kim, and C. Park, “Classification of Human Attention to Multimedia Lecture,” 32 nd International Conference on Information Networking (ICOIN), Chiang Mai, Thailand, Jan. 2018.
Pattern Recognition of Human Arm Movement Using Deep Reinforcement Learning
W. Seok, Y. Kim, and C. Park, “Pattern Recognition of Human Arm Movement Using Deep Reinforcement Learning,” 32 nd International Conference on Information Networking (ICOIN), Chiang Mai, Thailand, Jan. 2018.
Correlation Between Empathy and Experience in Human Emotion from EEG Signal
H. Lee, B.S. Hwang, Y. Kim, and C. Park, “Correlation Between Empathy and Experience in Human Emotion from EEG Signal,” 2017 u-Healthcare international conference, Seoul, Korea, Dec. 2017.
Feature Extraction Using Correlation Preserving Transform Based on Complex Common Spatial Patterns
Y. Kim and C. Park, “Feature Extraction Using Correlation Preserving Transform Based on Complex Common Spatial Patterns,” 2017 Korean Conference on Semiconductors (KCS), Gangwon-do, Korea, 2017.
ECG-based Drowsiness level detection using Hidden Markov Model
J. Ryu, Y. Kim, C. Park, et al., “ECG-based Drowsiness level detection using Hidden Markov Model,” IBEC 2016, Seoul, Korea, 2016.
Effects of visual and auditory delta band stimuli on sleep
H. Lee, M. S. Yeo, Y. Kim, C. Park, et al., “Effects of visual and auditory delta band stimuli on sleep,” IBEC 2016, Seoul, Korea, 2016.
Stress Measurement Using the Accelerometer
Y. Kim, J. Ryu, C. Park, et al., "Stress Measurement Using the Accelerometer," 2016 International Biomedical Engineering Conference (IBEC), Seoul, Korea, 2016.11
낮잠 중 청각 자극을 통한 운동 기억력 고착화에 관한 연구
김영주, 류지우, 박철수 외., "낮잠 중 청각 자극을 통한 운동 기억력 고착화에 관한 연구," 2016융합 스마트 클라우드 컴퓨팅 학술대회, 대한민국, 2016.10.
HRV-based Drowsiness Detection using Machine Learning Classifiers
김영주, 류지우, 박철수, "HRV-based Drowsiness Detection using Machine Learning Classifiers," The Korea Society of Medical & Biological Engineering 2016, Korea, 2016.5
Motor Imagery EEG Classification Using Correlation Preserving Complex Common Spatial Patterns Algorithm (2015)
Y. Kim, C. Park, "Motor Imagery EEG Classification Using Correlation Preserving Complex Common Spatial Patterns Algorithm," u-Healthcare, Osaka, Japan, 2015
기계학습을 이용한 운동 심상 뇌전도의 분류 (2015)
김영주, 박철수, 2015 추계 전자공학회
Classification of Motor Imagery EEG Using Strong Uncorrelated Transform Complex Common Spatial Patterns (2014)
Y. Kim, J. Ryu and C. Park, “Classification of Motor Imagery EEG using Strong Uncorrelated Transform Complex Common Spatial Patterns” IBEC 2014, Gwangju, Korea, 2014
Classification of Term and Preterm Labor Using Multivariate Empirical Mode Decomposition of EHG signal (2014)
J. Ryu, Y. Kim and C. Park, “Classification of Term and Preterm Labor Using Multivariate Empirical Mode Decomposition of EHG Signal” IBEC 2014, Gwangju, Korea, 2014
뇌파 측정을 통한 열성경련 감지장치 및 그 제어방법 (APPARATUS FOR DETECTING FEBRILE SEIZURE BY MEASURING ELECTROENCEPHALOGRAM AND CONTROL METHOD THEREOF)
김규민, 김영철, 박철수, 류지우, 김영주, 출원번호: 10-2014-0159157 (접수번호 1-1-2014-1100631-12), 출원일자: 2014년 11월 14일
귓속 내장형 생체 신호 측정 장치 (APPARATUS FOR MEASURING BIO SIGNAL IN THE EAR INTERNAL TYPE)
박철수, 류지우, 김영주, 김규민, 출원번호: 10-2015-0055885 (접수번호 1-1-2015-0386333-51), 출원일자: 2015년 04월 21일
Best Paper Award
Poster session, IBEC 2016, Best Paper Award, 2016.11.12
Best Paper Award
Oral session, 전자공학회 주최 2016 Convergence/Smart/Cloud Computing Conference, Best Paper Award, 2016.10.15
Graduated First in Class
Bachelor’s degree, Dept. of Computer Engineering, KW University, 2015
Best Paper Award
Oral session, IBEC 2014, Best Paper Award, 2014.11.22
Engineering Excellence Award
Annual Engineering Design Competition, Dept. of Electronics and Communication Engineering, KW University, 2014