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@Neuro-AI-Lab

NeuroAI Lab.

Neuroengineering & Artificial Intelligence Lab in the Dept. of Electronics and Communications Engineering at Kwangwoon Univ.

Welcome to the NeuroAI Lab @ Kwangwoon Univ.

INTRO.

Welcome NeuroAI Lab @ Kwangwoon Univ. in Republic of Korea. We are conducting research on human-centered AI technology. Our lab wants to make the world better by studying AI technology similar to humans. Our lab provides the best research environment in Korea. We passed the first round 2020 of the Korean artificial intelligence Grand Challenge and won third place on the voice recognition track in the second round 2021. We are always looking for passionate students. If you are interested in our lab, please feel free to contact us. This is the professor's mail and the lab manager's mail.

PROFESSOR

Young-Seok Choi, Ph.D.

Professional Experience

  • 2020 - Present: Professor, Dept. Electronics and Communications Engineering, Kwangwoon University
  • 2022 - 2023: Visiting Scholar, Dept. Bioengineering, UC San Diego (UCSD)
  • 2016 - 2020: Associate Professor, Dept. Electronics and Communications Engineering, Kwangwoon University
  • 2012 - 2016: Assistant Professor, Dept. Electronics Engineering, Gangneung-Wonju National University
  • 2010 - 2012: Senior Research Engineer, Div. Convergence Technology, Electronics and Telecommunications Research Institute (ETRI)
  • 2007 - 2010: Postdoctoral Fellow, Dept. Biomedical Engineering, Johns Hopkins School of Medicine
  • 2007 - 2007: Postdoctoral Fellow, Institute of Future Information Technology, Pohang University of Science and Technology (POSTECH)

Education

  • Ph.D. (2007) in Electronics and Computer Engineering, Pohang University of Science and Technology (POSTECH)
  • B.S. (2000) in Electronics, Communications, and Radio Engineering, Hanyang University

PUBLICATION

International Journals

  1. S. S. Park, Y.-S. Choi, "Spiking neural networks for physiological and speech signals: a review," Biomedical Engineering Letters, p. 1-12, June. 2024.
  2. D. H. Kim, J.-O. Park, D.-Y. Lee, and Y.-S. Choi, "Multiscale distribution entropy analysis of short epileptic EEG signals, " Mathematical Biosciences and Engineering, vol. 21, no. 4, Apr. 2024.
  3. C.-M. Kim and Y.-S. Choi, "Quantifying Heart Rate Variability Using Multiscale Fuzzy Dispersion Entropy," IEEE Access, vol. 12, p. 31066 - 31077, Feb. 2024.
  4. S. Oh and Y.-S. Choi, "Detection of Ventricular Fibrillation Using Ensemble Empirical Mode Decomposition of ECG Signals," Electronics, vol. 13, no. 4, p. 695, Feb. 2024.
  5. Y. Kim and Y.-S. Choi, "Multiscale Cumulative Residual Dispersion Entropy with Applications to Cardiovascular Signals," Entropy, vol. 25, no. 11, p. 1562, Nov. 2023.
  6. J. C. Choi, H.-J. Park, J. A. Park, D. R. Kang, Y.-S. Choi, S. Choi, H. G. Lee, J.-H. Choi, I.-H. Choi, M. W. Yoon, J.-M. Lee, and J. Kim, "The increased analgesic efficacy of cold therapy after an unsuccessful analgesic experience is associated with inferior parietal lobule activation," Scientific Reports, no. 12, article number 14687, 2022.
  7. H.K. Lee and Y.-S. Choi, “Regularized Task-Related Component Analysis for Robust SSVEP-based Brain-Computer Interface,” IET Electronics Letters, vol. 58, no. 16, pp. 603-605, Aug 2022.
  8. H.K. Lee and Y.-S. Choi, “Enhancing SSVEP-Based Brain-Computer Interface with Two-Step Task-Related Component Analysis,” Sensors, vol. 21, pp. 1315-1331, Jan. 2021.
  9. D.-Y. Lee and Y.-S. Choi, “Multiscale Distribution Entropy Analysis of Heart Rate Variability Using Differential Inter-Beat Intervals,” IEEE Access, vol. 8, pp. 48761-48773, Mar. 2020.
  10. H. K. Lee and Y.-S. Choi, “Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface,” Entropy, vol. 21, no. 12, p. 1199, Dec. 2019.

International Conferences/Workshops

  1. D. H. Kim, Y.-S. Choi, "Multimodal Emotion Recognition based on Global Information Fusion in Conversations," The 39th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jul, 2024.
  2. S.S. Park, Y.-S. Choi, "Advancing Temporal Spike Encoding for Efficient Speech Recognition", IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Oct, 2023.
  3. D.H. Kim, Y.-S. Choi, "Semi-supervised EEG emotion recognition with Discriminative Graph Transformer Model", IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Oct, 2023.
  4. C.-M. Kim, Y.-S. Choi, "Facial Video-based Remote Photoplethysmography Signal Estimation with Vision Transformer", IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Oct, 2023.
  5. D.-H Kim, Y.-S. Choi, "EEG-based Emotion Recognition Using Spectral Graph Convolutional Neural Network based on Partial Directed Coherence", IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE, Oct, 2022
  6. H.K. Lee, J.-S. Myoung, Y.-S. Choi, "A Lightweight End-to-End Neural Networks for Decoding of Motor Imagery Brain Signal, International Conference on Ubiquitous and Future Networks (ICUFN), Jul. 2022.
  7. H.K. Lee, J.-H. Lee, J.-O. Park, Y.-S. Choi, "Data-driven data augmentation for motor imagery brain-computer interface", International Conference on Information Networking (ICOIN), Jan. 2021.
  8. J.-O. Park , D.-Y. Lee, Y.-S. Choi, "Robust epileptic seizure detection using multiscale distribution entropy analysis for short EEG recordings", International Conference on Information Networking (ICOIN), Jan. 2021.
  9. J.-H. Lee, Y.-S. Choi , "A data driven Information theoretic feature extraction in EEG-based Motor Imagery BCI", Information and Communication Technology Convergence (ICTC), OCT. 2019.

RESEARCH PROJECT

  • 물질중독환자의 행동패턴분석을 통한 실시간 개인맞춤형 갈망중재기술 개발 / 세부 연구책임자 / 2024.04.01 ~ 2028.12.31 / 한국연구재단
  • 비대면 환경 사용자의 정량적 감정-감성 평가모델 기술 개발 및 양방향 디지털 콘텐츠 적용 상용화 / 2023.04.01~2025.12.31 / 정보통신기획평가원
  • 인간의 신경계를 모사한 뉴로모픽 칩 설계 기술 및 뉴로 컴퓨팅 플랫폼 연구개발 / 2022.07.01 ~ 2030.07.01 / 정보통신기획평가원
  • 디지털 헬스케어를 위한 블록체인 융합 원격임상시험 서비스 개발 / 2022.07.01 ~ 2024.12.31 / 과학기술일자리진흥원
  • 얼굴 영상 기반 비접촉식 바이탈 사인 측정 및 응용 솔루션 개발 / 2022.06.01 ~ 2025.02.28 / 한국연구재단
  • 단일 리드 ECG 신호 분석을 통한 부정맥 검출 알고리즘 개발 / 2024.09.01 ~ 2024.12.31 / 홈즈에이아이

More information, please visit our HOME Page web site

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  2. GNN-Theories-Concepts-Introduction GNN-Theories-Concepts-Introduction Public

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    Neuro-AI-Lab/GNN-Theories-Concepts-Introduction’s past year of commit activity
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