Huỳnh Văn Tuấn

PGS.TS.

Huỳnh Văn Tuấn

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

Nghiên cứu

  • ANCEEG

Giảng dạy

  • Hệ thống số

Đề tài, dự án

  • Các hệ thống lai IRS-MIMO cho mạng thông tin di động 6GB2026-18-22 · Đại học Quốc gia thành phố Hồ Chí Minh · Thành viên · từ 2026

Xuất bản khoa học

2026
Improved Classification Accuracy of Convolutional Neural Networks With Connected Layers for Electroencephalogram Data

IEEE Transactions on Medical Robotics and Bionics, DOI 10.1109/tmrb.2026.3681027

2026
GoutLab Software Design for Classifying Basic Human Tastes

Communications in Computer and Information Science, DOI 10.1007/978-3-032-21628-1_14

2026
Novel thresholding for medical image segmentation using stationary wavelet transform and empirical mode decomposition

Eighth International Conference on Image Processing and Machine Vision (IPMV 2026), tr. 5, DOI 10.1117/12.3110642

2026
Robust intelligent control of heart rate regulation using bio-inspired algorithms

Chinese Journal of Physics, DOI 10.1016/j.cjph.2026.04.007

2026
Introducing a novel surface electromyography signal dataset for hand movement classification

Chinese Journal of Physics, Tập 103, tr. 1756-1772, DOI 10.1016/j.cjph.2026.07.027

2026
Design hybrid neural network for classifying the electroencephalography of schizophrenia patients

Neural Computing and Applications, Tập 38, số 11, DOI 10.1007/s00521-026-12158-0

2026
<scp>EEG</scp> ‐Based Emotion Recognition Using Optimized Logit Boost and Relief Feature Selection

IEEJ Transactions on Electrical and Electronic Engineering, DOI 10.1002/tee.70312

2026
Acquisition and Classification of a Surface EMG Dataset for Finger Movement

IEEJ Transactions on Electrical and Electronic Engineering, DOI 10.1002/tee.70371

2025
MRI Brain Tumor Image Enhancement Using LMMSE and Segmentation via Fast C-Means

International Journal of Advanced Computer Science and Applications, Tập 16, số 5, DOI 10.14569/ijacsa.2025.0160581

2025
Enhanced Diagnosis of Parkinson's Disease Using XGBoost†

IEEJ Transactions on Electrical and Electronic Engineering, Tập 20, số 11, tr. 1862-1867, DOI 10.1002/tee.70094

2025
Applying <scp>RetinaNet</scp> Machine Learning Models for Hot‐Spot Detection in Thermal Images of Photovoltaic Panel

IEEJ Transactions on Electrical and Electronic Engineering, DOI 10.1002/tee.70067

2025
EEG-Based Parkinson's Disease Classification using XGBoost and Explainable AI

2025 RIVF International Conference on Computing and Communication Technologies (RIVF), tr. 421-426, DOI 10.1109/rivf68649.2025.11365222

2025
Recognition of Basic Human Tastes Using EEG Signals

IEEJ Transactions on Electrical and Electronic Engineering, Tập 20, số 11, tr. 1856–1861, DOI 10.1002/tee.70093

2025
Classification of Finger Movement Using EMG Sensor Signal

2025 International Conference on Advanced Technologies for Communications (ATC), tr. 1-5, DOI 10.1109/atc67618.2025.11268765

2024
Hand and Wrist Movements Classification Using Surface Electromyogram

IEEJ Transactions on Electrical and Electronic Engineering, DOI 10.1002/tee.24151

2024
Diagnosis Parkinson’s Disease Using Neural Network and EEG Signals

Lecture Notes in Networks and Systems, tr. 163-170, DOI 10.1007/978-981-97-5504-2_20

2024
Classification of Emotions via EEG Signals by Deep Learning Approach

Lecture notes in networks and systems, tr. 688–696, DOI 10.1007/978-981-97-5504-2_79

2023
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), tr. 378-383, DOI 10.1109/rivf60135.2023.10471833

2023
Classification Taste-EEG Signals Using Base Neural Network

2023 RIVF International Conference on Computing and Communication Technologies (RIVF), tr. 107-111, DOI 10.1109/rivf60135.2023.10471803

2023
Building an Adaptive Model of Neural Networks to Extract and Classify EEG Signals

2023 RIVF International Conference on Computing and Communication Technologies (RIVF), tr. 95-100, DOI 10.1109/rivf60135.2023.10471856

2023
Ensemble Method in Parkinson's Disease Classification via EEG signals

2023 RIVF International Conference on Computing and Communication Technologies (RIVF), tr. 418-423, DOI 10.1109/rivf60135.2023.10471774

2023
method for evaluation of the optical uniformity distribution in the white LEDs-based visible light communication applications

Photonics Letters of Poland, Tập 15, số 4, tr. 69-71, DOI 10.4302/plp.v15i4.1249

2023
Classification of electroencephalography signals using three-dimensions convolution neural network with long short-term memory architecture

International Journal of Medical Engineering and Informatics, Tập 15, số 3, tr. 270, DOI 10.1504/ijmei.2023.130732

2022
Classification of 40 Hand Movements Based on Surface Electromyogram Signal

Lecture Notes in Networks and Systems, DOI 10.1007/978-981-19-3394-3_44

2022
Classification I-EEG Signals Using Ensemble Algorithms

2022 9th NAFOSTED Conference on Information and Computer Science (NICS), tr. 235-240, DOI 10.1109/nics56915.2022.10013378

2022
2022
Improving accuracy of indoor localization system using ensemble learning

Systems Science & Control Engineering, Tập 10, số 1, tr. 645-652, DOI 10.1080/21642583.2022.2092782

Thông tin chi tiết

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
Email: 
hvtuan@hcmus.edu.vn

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

Các môn giảng dạy:

  • Điện tử cơ bản

  • Hệ thống số

  • Mạch điện tử và kỹ thuật số

  • Kỹ thuật đo lường

  • Xử lý tín hiệu số

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