Trưởng khoa
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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
Email: hvtuan@hcmus.edu.vn
Các hướng nghiên cứu
Danh sách xuất bản (chọn lọc từ 2017 - nay)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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), 344-349, 2018.
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.
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.
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.
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 399 515-522, 2017.
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).
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.
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.
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.