PGS.TS. Huỳnh Văn Tuấn

PGS.TS. Huỳnh Văn Tuấn

Trưởng khoa

Trưởng bộ môn

Bộ môn

Vật lý Tin học

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Phó giáo sư
Trưởng Khoa, Khoa Vật lý - Vật lý Kỹ thuật,
Trưởng Bộ môn Vật lý Tin học,
Trường Đại học Khoa học Tự nhiên, ĐHQG-HCM
Tel: (+84) 028 38304092

Các hướng nghiên cứu

 Danh sách xuất bản (chọn lọc từ 2017 - nay)

  1. Phuoc Thanh Nguyen, Viet Quoc Huynh, Thuan Nguyet Phan & Tuan Van Huynh (2024), The Fusion of Feature Extraction Applications and Blurring Techniques for Classifying Irish Sign Language,  9th International Conference on the Development of Biomedical Engineering in Vietnam, BME 2022, IFMBE Proceedings, 95, 404-417, 2024;
  2. Viet Quoc Huynh, Tuan Van Huynh, Application of cluster repeated mini-batch training method to classify electroencephalography for grab and lift tasks, Medical Engineering & Physics120, 1-10, 2023;
  3. Viet   Quoc   Huynh, Hoang-Thuy-Tien Vo, Thu   Anh   Nguyen, Tuan   Van   Huynh,  Classification of Electroencephalography  Signals using Three-Dimensions  Convolution Neural  Networkwith  Long Short Term Memory  Architecture,  Int. J. of Medical Engineering and Informatics, 15(3), 270–281, 2023.
  4. Nguyen, Thi-Nhu-Quynh; Vo, Hoang-Thuy-Tien; Nguyen, Huy Anh; Van Huynh, Tuan (2023), Machine Learning in Classification of Parkinson’s Disease Using Electroencephalogram with Simon’s Conflict, Lecture Notes in Networks and Systems, 110 - 122, Springer Science and Business Media Deutschland GmbH, 2023.
  5. Huynh, Viet Quoc; Van Huynh, Tuan, A Survey of the Classification of Emotions Using Electroencephalography Signals by Branch Convolutional Neural Network, Lecture Notes in Networks and Systems, 155 - 166, Springer Science and Business Media Deutschland GmbH, 2023.
  6. Huy Q. Tran, Tan Van Nguyen, Tuan Van Huynh & Nhiem Quoc Tran, Improving accuracy of indoor localization system using ensemble learning, Systems Science & Control Engineering, 10:1, 645- 652, 2022.
  7. Vo, Hoang-Thuy-Tien; Nguyen, Thi-Nhu-Quynh; Van Huynh, Tuan, Classification I-EEG Signals Using Ensemble Algorithms, Proceedings - 2022 9th NAFOSTED Conference on Information and Computer Science, NICS 2022,  235 - 240, Institute of Electrical and Electronics Engineers Inc, 2022.
  8. Tiên V H T, Quỳnh N T N, Phước N T, Tuấn H V., Using wavelet transform for features extraction and machine learning algorithms to classify the facial expression by eeg signals, Science and Technology Development Journal - Natural Sciences, 6(2), 2116-2130, 2022.
  9. Huynh, V.Q., Hua-Thi-Hoang, Y., Tuan Van Huynh, Application of Intrinsic Time-Scale Decomposition to Classify EEG Signals Using Machine Learning and Neural Network Methods, Intelligent Systems and Networks. Lecture Notes in Networks and Systems, 471, 76-82, 2022.
  10. Le – Nguyen Thi, T., Phan, T.N., Tuan Van Huynh, Classification of 40 Hand Movements Based on Surface Electromyogram Signal, Intelligent Systems and Networks. Lecture Notes in Networks and Systems, 471, 386-393, 2022.
  11. De Nguyen, Tuan Van Huynh, Vinh Son Nguyen, Phuong-Lien Doan Cao, Hai Truong Nguyen, Tzu-Chien Wei,  Phuong Hoang Tran and Phuong Tuyet Nguyen, Choline chloride-based deep eutectic solvents as effective electrolytes for dye-sensitized solar cells, RSC Advances, 11, 21560–21566, 2021.

  12. Huynh, V. Q., Nguyen-Thi-Nhu, Q., Tran, M. D., Le, A. N., Nguyen, P. T., & Van Huynh, Tuan, Application of long short term memory algorithm in classification electroencephalogram. Science and Technology Development Journal-Natural Sciences5(2), 1167-1178, 2021. 

  13. Thuy Le Nguyen Thi , Phuc Viet Ho , Tuan Van Huynh, A study of finger movement classification based on 2-sEMG channels, 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), IEEE Xplore, 215-220, 2020.

  14. 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), IEEE Xplore, 203-208, 2020.

  15. Thu Anh Pham Phan, Nghi Phuong Nguyen, Le Thi Nguyen, Phu Hoang Nguyen, Tien Khoa Le, Tuan Van Huynh, Torben Lund, De-Hao Tsai, Tzu-Chien Wei, Phuong Tuyet Nguyen, Direct experimental evidence for the adsorption of 4-tert-butylpyridine and 2,2’-bipyridine on TiO2 surface and their influence on dye-sensitized solar cells’ performance, Applied Surface Science 509,1-9 ,2020.

  16. Hoang-Thuy-Tien Vo, Luu-Nha-Tran Dang, Vuong-Thuy-Ngan Nguyen, Van-Tuan Huynh, A survey of machine learning algorithms in EEG, 2019 6th NAFOSTED Conference on Information and Computer Science (NICS), IEEE Xplore, 500-505, 2019.

  17. Tien Hoang-Thuy Vo, Tran Luu-Nha Dang, Ngan Vuong-Thuy Nguyen, Tuan Van Huynh, Classification electroencephalography using machine learning, 2019 19th International Symposium on Communications and Information Technologies (ISCIT), IEEE Xplore, 14-19, 2019.

  18. Hua Thi Hoang Yen, Huynh Van Tuan, Artificial neural network algorithm for acoustic echo cancellation Applications, International Research Journal of Engineering and Technology, 5(10), 344-3492018.

  19. Vuong-Thuy-Ngan Nguyen, Van-Tuan Huynh, Thi-Hong-Hanh Nguyen, Electroencephalography analysis using neural network, 2018 5th NAFOSTED Conference on Information and Computer Science (NICS), IEEE Xplore, 144-147, 2018.

  20. Phuong Tuyet Nguyen, Thu Anh Pham Phan, Nhung Hong Thi Ngo, Tuan Van Huynh, Torben Lund, 2,2’-bipyridine – A new electrolyte additive in Dye-sensitized Solar Cells, Solid State Ionics 314, 98-102, 2018.

  21. Tuan Van Huynh, Real time results of a fuzzy neural network active noise controller, International Research Journal of Engineering and Technology, 4(8), 1141-1145, 2017.

  22. Phuong Tuyet Nguyen, Vy Anh Tran, Trieu Thinh Truong, Trang Ngoc Nguyen, Tuan Van Huynh, Antonio Agresti, Sara Pescetelli, Tien Khoa Le, Aldo Di Carlo, Torben Lund, So-Nhu Le, Application of Nitrogen-doped TiO2 nano-tubes in dye-sensitized solar cells (DSCs), Applied Surface Science 399 515-5222017.

  23. Huynh Van Tuan, Huynh Quang Vu, Study on method of filtering noises from electroencephalography signals and its application for identification of several electroencephalography signals, Journal of Science & Technology Development, 20 (T4), 95-104 (2017).

  24. Ngan Vuong Thuy Nguyen, Long Duc Tran, Tuan Van Huynh, Detect QRS complex in ECG, 12th IEEE Conference on industrial electronics and applications (ICIEA), IEEE Xplore, 2019-2024, 2017.

  25. Nguyen Thi Hong Hanh, Huynh Van Tuan, Identification of some brain waves signal and applications, 12th IEEE Conference on industrial electronics and applications (ICIEA), IEEE Xplore, 1412-1417, 2017.

  26. Phuong Tuyet Nguyen, Vinh Son Nguyen, Vy Anh Tran, Thu Anh Pham Phan, Tuan Van Huynh, Torben Lund, Nicotinic acid as a new co-adsorbent in dye-sensitized solar cells, Applied Surface Science, 392,441-447, 2017.