MsC. Huỳnh Quốc Việt

Ms.C
Department of  Physics and Computer Science,
Faculty of Physics and Engineering Physics,
University of Science, VNUHCM,
Ho Chi Minh City, Vietnam
Tel: (+84) 028 38304092
Email: hyqviet@hcmus.edu.vn

ORCID: https://orcid.org/0000-0002-7002-5858

Subjects 

  • General Physics Laboratory

  • Programming Techniques Laboratory

  • Programmable Logic Controllers (PLC)

  • Machine Learning

  • Machine Learning Laboratory

  • Basic Electronics Laboratory

  • Numerical Methods Laboratory

  • Sensor & Measurement Laboratory

Research directions:

  • EEG Signal Classification

  • Microcontrollers

  • IoT Systems

  • Application of Deep Learning in Biomedical Signal Classification (EEG)

  • Development of Deep Learning Models for Image Processing Applications

  • PLC Programming

PUBLICATION LIST 

  1. Viet Quoc Huynh, Hoang-Thuy-Tien Vo, Thu Anh Nguyen, Tuan Van Huynh `Classification of Electroencephalography Signals using Three-Dimensions Convolution Neural Network with Long Short Term Memory Architecture', International Journal of Medical Engineering and Informatics
  2. Huynh, V. Q., & Van Huynh, T. (2023). Application of cluster repeated mini-batch training method to classify electroencephalography for grab and lift tasks. Medical Engineering & Physics, 104041. Doi: https://doi.org/10.1016/j.medengphy.2023.104041
  3. Huynh, V.Q., Hua-Thi-Hoang, Y., Huynh, T.V. (2022). Application of Intrinsic Time-Scale Decomposition to Classify EEG Signals Using Machine Learning and Neural Network Methods. In: Anh, N.L., Koh, SJ., Nguyen, T.D.L., Lloret, J., Nguyen, T.T. (eds) Intelligent Systems and Networks. Lecture Notes in Networks and Systems, vol 471. Springer, Singapore.
    https://doi.org/10.1007/978-981-19-3394-3_10
  4. Huynh, V.Q., Van Huynh, T. (2023). A Survey of the Classification of Emotions Using Electroencephalography Signals by Branch Convolutional Neural Network. In: Huang, YP., Wang, WJ., Quoc, H.A., Le, HG., Quach, HN. (eds) Computational Intelligence Methods for Green Technology and Sustainable Development. GTSD 2022. Lecture Notes in Networks and Systems, vol 567. Springer, Cham. https://doi.org/10.1007/978-3-031-19694-2_14
  5. Nguyen, P.T., Huynh, V.Q., Phan, T.N., Van Huynh, T. (2024). The Fusion of Feature Extraction Applications and Blurring Techniques for Classifying Irish Sign Language. In: Vo, V.T., Nguyen, TH., Vong, B.L., Le, N.B., Nguyen, T.Q. (eds) 9th International Conference on the Development of Biomedical Engineering in Vietnam. BME 2022. IFMBE Proceedings, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-031-44630-6_33
  6. Viet Quoc Huynh, Quynh Nguyen-Thi-Nhu, Minh Duc Tran, Anh Ngoc Le, Phuoc Thanh Nguyen., Tuan Van huynh. (2021). Application of long short term memory algorithm in classification electroencephalogram. Science and Technology Development Journal - Natural Sciences, 5(2), 1167-1178. https://doi.org/https://doi.org/10.32508/stdjns.v5i2.1006
  7. Hoang-Thuy-Tien Vo, Viet Quoc Huynh, Tuan Van Huynh, An Investigation of Ensemble Methods to Classify Electroencephalogram Signaling Modes, 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), 2020, pp. 203-208, doi: 10.1109/NICS51282.2020.9335883.
  8. Huynh, V.Q., Van Huynh, T. (2024). Applied the MoDWT and STFT Layers to Classify the EEG of Schizophrenia Patients. In: Nguyen, T.D.L., Dawson, M., Ngoc, L.A., Lam, K.Y. (eds) Proceedings of the International Conference on Intelligent Systems and Networks. ICISN 2024. Lecture Notes in Networks and Systems, vol 1077. Springer, Singapore. https://doi.org/10.1007/978-981-97-5504-2_8
  9. Nguyen, P.T., Huynh, V.Q., Phan, T.N., Van Huynh, T. (2024). The Fusion of Feature Extraction Applications and Blurring Techniques for Classifying Irish Sign Language. In: Vo, V.T., Nguyen, TH., Vong, B.L., Le, N.B., Nguyen, T.Q. (eds) 9th International Conference on the Development of Biomedical Engineering in Vietnam. BME 2022. IFMBE Proceedings, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-031-44630-6_33