Quá trình học tập, công tác
- 2008: Kỹ sư Công nghệ thông tin, Trường Đại học Bách khoa Hà Nội.
- 2014: Tiến sĩ Công nghệ thông tin, Viện Bách khoa quốc gia Toulouse, Cộng Hoà Pháp.
Hướng nghiên cứu
Học máy, Học sâu, Thị giác máy tính, Ngôn ngữ thị giác
Các công bố khoa học nổi bật
[1] Giang Son Tran, L. T. T. Nguyen, Q. H. Nguyen, H. Mai, Q. Phan, M. N. Nguyen, S. S. Tong, P. T. Do, H. T. M. To, “Unraveling new genetic elements associated with the morphological changes and relative silicon content in rice using Genome-Wide Association Studies (GWAS)”, Journal of Plant Biology (SCIE, Q1), 2024.
[2] N. H. Pham and Giang Son Tran, “Apply a CNN-Based Ensemble Model to Chest-X Ray Image-Based Pneumonia Classification”, Journal of Advances in Information Technology (ESCI, Q3), 2024.
[3] M. K. Luong, S. S. Tong, H. Mai, T. M. H. To, Giang Son Tran, D. B. Pham, T. H. Phan, V. C. Le, T. L. Pham, T. H. A. Tong, “UAV hyperspectral image acquisition and processing, an application for nutrient estimation of rice in Vietnam”, Vietnam Journal of Earth Sciences (Q2), 2024.
[4] T. N. Nguyen, Giang Son Tran, H. D. Hoang, L. G. Nguyen, “A novel missense variant located within the zinc finger domain of the GLI3 gene was identified in a Vietnamese pedigree with index finger polydactyly”, Molecular Genetics & Genomic Medicine (Q2, SCIE), 2024.
[5] D. A. Vu, Q. N. M. Pham and Giang Son Tran, “A Novel Pretrained General-purpose Vision Language Model for the Vietnamese Language”, ACM Transactions on Asian and Low-Resource Language Information Processing (Q2, SCIE), 2024.
[6] O. C. Do, C. M. Luong, P. H. Dinh & Giang Son Tran, “An efficient approach to medical image fusion based on optimization and transfer learning with VGG19”, Biomedical Signal Processing and Control (Q1, SCIE), 2024.
[7] N. T. P. Mai, L. T. T. Nguyen, Giang Son Tran & H. T. M. To, “Genome-wide association study reveals useful QTL and genes controlling the fatty acid composition in rice bran oil using Vietnamese rice landraces”, Functional & Integrative Genomics (Q2, SCIE), 2023.
[8] C. C. Nguyen, Giang Son Tran, J. C. Burie, and T. P. Nghiem, “Pulmonary Nodule Detection based on Faster R-CNN with Adaptive Anchor Box”, IEEE Access (Q1, SCIE), 2021.
[9] H. D. Le, Giang Son Tran, “Free-size Accelerated Kuwahara Filter” in Journal of Real-Time Image Processing (Q2, SCIE), 2021.
[10] Giang Son Tran, Q. H. Nguyen, B. M. Chu, N. C. H. Le, H. T. M. To, “Combining image processing and genome-wide association study for revealing quantitative trait loci related to grain size in rice,” in TNU Journal of Science and Technology, 2025 [accepted].
[11] B. M. Chu, H. T. M. To, Giang Son Tran, “Rice Grain Trait Estimation Using Color Space Conversion and Deep Learning-based Image Segmentation,” in TNU Journal of Science and Technology, vol. 229, no. 7, 2024.
[12] Q. V. Kieu, V. N. Huynh, T. P. Nghiem, O. C. Do and Giang Son Tran, “A new method for medical image fusion based on Gaussian blur filter and Robinson compass operator,” in Journal of Computer Science and Cybernetics, vol. 40, no.1, 2024.
[13] C. C. Nguyen, L. G. Nguyen and Giang Son Tran, “Data-centric Deep Learning Method for Pulmonary Nodule Detection,” in Journal of Computer Science and Cybernetics, vol. 38, no.3, pp. 229-243, 2022.
[14] Giang Son Tran, A. Carlier and D. Hagimont, “An in-depth Evaluation of Frequency-aware Scheduler for Improving User Experience on Mobile Devices,” in Journal of Computer Science and Cybernetics, 2022.
[15] Giang Son Tran, D. M. Nguyen, T. P. Nghiem, “Nutrient Content Estimation in Rice Leaves using Hyperspectral Images and 3D Convolutional Neural Networks,” in Proceedings of the 9th International Conference on Intelligent Systems and Networks, ICISN’26, 2026.
[16] Giang Son Tran, D. S. Nguyen, T. P. Nghiem, “Chlorophyll Content Estimation in Rice Leaves using Spectral Reflectance with Gradient Boosted Multilayer Perceptron,” in Proceedings of the 11th International Conference on Intelligent Information Technology, ICIIT’26, 2026.
[17] N. H. Pham, Giang Son Tran, A. Doucet, “Optimizing Vision Transformers (ViT) for Pneumonia Diagnosis via CLAHE Preprocessing and GAN-Based Augmentation,” in Proceedings of the 11th International Conference on Intelligent Information Technology, ICIIT’26, 2026.
[18] O. C. Do, Giang Son Tran, T. P. Nghiem, H. D. Tran, C. M. Luong, “Deep Learning for Multimodal Medical Image Fusion: A Concise Review,” in Proceedings of the 17th International Conference on Computer Science and its Application, CSA’25, 2025.
[19] O. C. Do, Giang Son Tran, T. P. Nghiem, C. M. Luong, “Complementary Deep Features for COVID-19 Screening: Combining Hierarchical Vision Transformers and Convolutional Networks,” in Proceedings of the 17th International Conference on Computer Science and its Application, CSA’25, 2025.
[20] H. S. Hoang, D. D. Nguyen, T. P. Nghiem, Giang Son Tran, “Improving Table Structure Recognition Based on Content Based Post Processing,” in Proceedings of the 8th IEEE International Conference on Multimedia Analysis and Pattern Recognition, MAPR’25, 2025.
[21] N. H. Pham and Giang Son Tran, “Overview of fine-tuning CNN-Based Models for X-ray Image Classification” in Proceedings of the 9th International Conference on Intelligent Information Technology, ICIIT’24, 2024.
[22] C. C. Nguyen, Giang Son Tran and V. Nguyen, “False Positive Reduction of Pulmonary Nodule on CT image using Attention-based Multiple Instance Learning” in Proceedings of the 20th International Conference on Content-based Multimedia Indexing, CBMI’23, 2023.
[23] N. H. Pham, A. Doucet and Giang Son Tran, “Vision Transformer for Pneumonia Classification in X-ray Images” in Proceedings of the 8th International Conference on Intelligent Information Technology, ICIIT’23, 2023.
Thông tin thêm về các công bố khoa học:
| ORCID ID/Link | https://orcid.org/0000-0001-7140-6882 | |
| Google scholar link | https://scholar.google.com.vn/citations?user=u4kWjHkAAAAJ&hl=en | |
