Huynh, Van Tuan

Associate Professor
Dean, Faculty of Physics and Engineering Physics,
Head of Department of  Physics and Computer Science,
VNUHCM-University of Science,
Ho Chi Minh City, Vietnam
Email: hvtuan@hcmus.edu.vn

ORCID: https://orcid.org/0000-0003-1534-6875

SCIENTIFIC EDUCATION

• PhD., Radio and electronic physics, 2006 – 2010, University of Science, VNU-HCM, Vietnam
• M.S., Electronic physics, 2002 – 2005, University of Science, VNU-HCM, Vietnam
• B.S., Physics, 1997 – 2001, University of Science, VNU-HCM, Vietnam

Subjects:

• Basic Electronics

• Digital Systems

• Electronic and Digital Circuits

• Measurement Techniques

• Digital Signal Processing

ACADEMIC & RESEARCH EXPERIENCE

• Classification of Electroencephalogram (EEG) signals;
• Detection of ECG signal;
• Study on Electromyography (EMG) signals;
• Active noise control (ANC);
• Acoustic echo cancellation (AEC);
• Solar device fabrication and characterization.

PUBLICATION LIST (selected from 2020 - Present)

1. Huynh, V.Q., Van Huynh, T. (2026). Improved Classification Accuracy of Convolutional Neural Networks with Connected Layers for Electroencephalogram Data, IEEE Transactions on Medical Robotics and Bionics, vol. 8, no. 2, pp. 918-927, May 2026, doi: 10.1109/TMRB.2026.3681027
2. Do, H.T., Huynh, T.X., Nguyen, N.C., Huynh, V.Q. and Van Huynh, T. (2026), EEG-Based Emotion Recognition Using Optimized Logit Boost and Relief Feature Selection. IEEJ Transactions on Electrical and Electronic Engineering, 2026. https://doi.org/10.1002/tee.70312
3. Phong Thanh Tran, Tuan Van Huynh, Dang Hoai Trung, Nhan Chi Nguyen, Robust intelligent control of heart rate regulation using bio-inspired algorithms, Chinese Journal of Physics, vol. 102, pp. 489-506, 2026, https://doi.org/10.1016/j.cjph.2026.04.007
4. Vo, HTT., Tran, TKN., Nguyen, TNQ., Van Huynh, T. (2026). GoutLab Software Design for Classifying Basic Human Tastes. In: Nguyen, N.T., et al. Computational Intelligence in Engineering Science. ICCIES 2026. Communications in Computer and Information Science, vol 2944. Springer, Cham. https://doi.org/10.1007/978-3-032-21628-1_14
5. Thi-Nhu-Quynh Nguyen, Hoang-Thuy-Tien Vo, Tuan Van Huynh, Enhanced Diagnosis of Parkinson's Disease Using XGBoost†, IEEJ Transactions on Electrical and Electronic Engineering, 2025.
6. Hoang-Thuy-Tien Vo, Thi-Nhu-Quynh Nguyen, Tuan van Huynh, Recognition of Basic Human Tastes Using EEG Signals, IEEJ Transactions on Electrical and Electronic Engineering, 2025.

7. Tham Thi Hong Nguyen, Tuan Van Huynh, Uyen Vo Phuong Pham, Ngoc Bich Nguyen, Ly Huu Truong, Thang Xuan Trinh, Vinh Quang Lam and Phat Trong Huynh, DEVELOPMENT OF GOLD NANOSTARS DOPED FLEXIBLE SUBSTRATE FOR POLYSTYRENE MICROPLASTIC DETECTION USING SURFACE-ENHANCED RAMAN SCATTERING (SERS), Detritus, (31), 127-133, 2025.

8. Ngan V. T. Nguyen, , Tuan V. Huynh, Liet V. Dang, MRI Brain Tumor Image Enhancement Using LMMSE and Segmentation via Fast C-Means, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 16, No. 5, 2025.

9. Nguyen Phuoc Hoang Khang, Nguyen Minh Triet, Huynh Van Tuan, Nguyen Chi Nhan, Applying RetinaNet Machine Learning Models for Hot-Spot Detection in Thermal Images of Photovoltaic Panel, IEEJ Transactions on Electrical and Electronic Engineering, 2025.

10. Le, T.N.T., Van Huynh, T., Phan, T.N., Hand and Wrist Movements Classification Using Surface Electromyogram, IEEJ Transactions on Electrical and Electronic Engineering, 2024.

11. Huynh, V.Q., Van Huynh, T., Applied the MoDWT and STFT Layers to Classify the EEG of Schizophrenia Patients, Lecture Notes in Networks and Systems, 2024, 1077 LNNS, pp. 66–71.

12. Nguyen, T.-N.-Q., Vo, H.-T.-T., Van Huynh, T., Diagnosis Parkinson’s Disease Using Neural Network and EEG Signals, Lecture Notes in Networks and Systems, 2024, 1077 LNNS, pp. 163–170.

13. Vo, H.-T.-T., Nguyen, T.-N.-Q., Van Huynh, T., Classification of Emotions via EEG Signals by Deep Learning Approach, Lecture Notes in Networks and Systems, 2024, 1077 LNNS, pp. 688–696.

14. Pham, M.K., Dang, P.H., Le, T.D., Van Huynh, T., Le, T, Studying the structural, optical, and electrical characteristics of Zn2SnO4 films using a direct current magnetron sputtering method, Ceramics International, 2024, 50(4), pp. 6824–6835.

15. Phuong Tuyet Nguyen, Minh Hoang Le, Tuan Van Huynh, Thuy Thanh Doan Nguyen, De Nguyen, Vu Tan Huynh, Binh Phuong Nhan Nguyen, Surface modification of platinum counter electrode by amino quinonoid zwitterion to improve the performance of dye-sensitized solar cells, Journal of the Australian Ceramic Society, 2024, pp. 443-454.

16. 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; https://doi.org/10.1007/978-3-031-44630-6_33
17. Viet Quoc Huynh, Tuan Van Huynh, Application of cluster repeated mini-batch training method to classify electroencephalography for grab and lift tasks, Medical Engineering & Physics, 120, 1-10, 2023; https://doi.org/10.1016/j.medengphy.2023.104041
18. 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.

19. Huynh, V.Q., Do Tran, H., Van Huynh, T., Recognition of Schizophrenia Patients by EEG Signal Using the STFT/CWT Layer with Group-Convolution, 2023 RIVF International Conference on Computing and Communication Technologies, RIVF 2023, 2023, pp. 378–383.

20. Vo, H.-T.-T., Nguyen, T.-N.-Q., Van Huynh, T., Building an Adaptive Model of Neural Networks to Extract and Classify EEG Signals, 2023 RIVF International Conference on Computing and Communication Technologies, RIVF 2023, 2023, pp. 95–100.

21. Vo, H.-T.-T., Nguyen, T.-N.-Q., Cuong, D.D., Van Huynh, T., Classification Taste-EEG Signals Using Base Neural Network, 2023 RIVF International Conference on Computing and Communication Technologies, RIVF 2023, 2023, pp. 107–111.

22. Nguyen, T.-N.-Q, Vo, H.-T.-T., Van Huynh, T., Ensemble Method in Parkinson's Disease Classification via EEG signals, 2023 RIVF International Conference on Computing and Communication Technologies, RIVF 2023, 2023, pp. 418-423.

23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.

30. 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.

31. 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 Sciences, 5(2), 1167-1178, 2021. 

32. 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.

33. 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.

34. 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.