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
Trí tuệ nhân tạo, học máy, học sâu và tính toán hiệu năng cao trong xử lý ảnh, thị giác máy tính và tin sinh học.
Các công trình công bố
- Dinh Vu Anh, Quang Nhat Minh 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, 2024.
- Xuan Tung Nguyen and Giang Son Tran*, “Hyperspectral Image Classification using an Encoder-Decoder Model with Depthwise Separable Convolution, Squeeze and Excitation Blocks“, Earth Science Informatics, 2023.
- Oanh Cuong Do, Chi Mai Luong, Phu Hung Dinh and Giang Son Tran*, “An efficient approach to medical image fusion based on optimization and transfer learning with VGG19“, Biomedical Signal Processing and Control, 2023.
- Giang Son Tran, Kieu Quoc Viet, Thi Phuong Nghiem, “Convolutional Neural Network for Classification of Skin Cancer Images”, in the book series “Machine Learning and Deep Learning Techniques for Medical Science”, CRC Press | Taylor & Francis Group, USA, 2022.
- Chi Cuong Nguyen, Giang Son Tran, Van Thi Nguyen, Jean-Christophe Burie, Thi Phuong Nghiem, “Pulmonary Nodule Detection based on Faster R-CNN with Adaptive Anchor Box”, in IEEE Access, 2021.
- Huy Duc Le, Giang Son Tran*, “Free-size accelerated Kuwahara filter,” in Journal of Real-Time Image Processing, 2021.
- B. Teabe, A. Kocharya, B. Ekane, Giang Son Tran, A. Hrach and D. Hagimont, “A remote memory sharing system for virtualized computing infrastructures,” in IEEE Transactions on Cloud Computing, 2020.
- Giang Son Tran, Thi Phuong Nghiem and Jean-Christophe Burie, “Fast parallel blur detection on GPU,” in Journal of Real-Time Image Processing, 2020.
- Giang Son Tran, Thi Phuong Nghiem, Van Thi Nguyen, Chi Mai Luong and Jean-Christophe Burie, “Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss,” in Journal of HealthCare Engineering, 2019.
- Wapet, Lavoisier, Alain Tchana, Giang Son Tran, and Daniel Hagimont. “Preventing the propagation of a new kind of illegitimate apps,” in Future Generation Computer Systems, the International Journal of Grid Computing and eSciences, 2019.
