International Journals

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.

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.

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.

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.

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.

H. D. Le, Giang Son Tran, “Free-size Accelerated Kuwahara Filter” in Journal of Real-Time Image Processing (Q2, SCIE), 2021.

T. T. Ha, A. Takasu, T. C. Nguyen, K. H. Nguyen, V. N. Nguyen, K. A. Nguyen, Giang Son Tran, “Supervised attention for answer selection in community question answering” in IAES International Journal of Artificial Intelligence (IJ-AI) (SCOPUS), 9(2), pp. 203-211, 2020.

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 (Q1, SCIE), Accepted, 2020.

Giang Son Tran, T. P. Nghiem and J. C. Burie, “Fast Parallel blur detection on GPU” in Journal of Real-Time Image Processing (Q2, SCIE), 17(4), 903-913, 2020.

Giang Son Tran, T. P. Nghiem, V. T. Nguyen, C. M. Luong and J. C. Burie, “Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss,” in Journal of Healthcare Engineering (Q3, SCIE), 2019.

L. Wapet, A. Tchana, Giang Son Tran, and D. Hagimont, “Preventing the propagation of a new kind of illegitimate apps,” in Future Generation Computer Systems, the International Journal of Grid Computing and eSciences (Q1, SCIE), 2019.

A. Tchana, Giang Son Tran, L. Broto, N. D. Palma, and D. Hagimont, “Two levels autonomic resource management in virtualized iaas,” in Future Generation Computer Systems, the International Journal of Grid Computing and eSciences (Q1, SCIE), vol. 29, pp. 1319–1332, 2013.

Giang Son Tran, L. Broto, D. Hagimont, and A. Tchana, “Two-level cooperation in autonomic cloud resource management,” in Journal of Automation and Control Engineering, vol. 1 of ICIAS’13, pp. 217–221, 2013.

National Journals

B. M. Chu, H. T. M. To and 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.

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.

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.

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.

C. C. Nguyen, Giang Son Tran, T. P. Nghiem, J. C. Burie and C. M. Luong, “Real-Time Smile Detection using Deep Learning,” in Journal of Computer Science and Cybernetics, vol. 35, no. 2, pp. 135-145, 2019.

Book Chapters

Giang Son Tran, K. V. Kieu and T. P. Nghiem, “Convolutional Neural Network for Classification of Skin Cancer Images,” in Machine Learning and Deep Learning Techniques for Medical Science, ISBN 9781032104201, CRC Press, 2022.

International Conferences

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 20^th International Conference on Content-based Multimedia Indexing, CBMI’23, 2023 (Accepted).

N. H. Pham, A. Doucet and Giang Son Tran, “Vision Transformer for Pneumonia Classification in X-ray Images” in Proceedings of the 8^th International Conference on Intelligent Information Technology, ICIIT’23, 2023 (Accepted).

T. C. Pham, Giang Son Tran, T. P. Nghiem, A. Doucet, V. D. Hoang and C. M. Luong, “A comparative study for classification of skin cancer” in Proceedings of the 6^th IEEE International Conference on System Science and Engineering, ICSSE’19, 2019.

C. C. Nguyen, Giang Son Tran, T. P. Nghiem, N. Q. Doan, D. Gratadour, J.C. Burie and C. M. Luong, “Towards Real-Time Smile Detection based on Faster Region Convolutional Neural Network,” in Proceedings of the 1^st IEEE International Conference on Multimedia Analysis and Pattern Recognition, MAPR’18, 2018.

Giang Son Tran, T. P. Nghiem, T. V. Ho and C. M. Luong, “Extended Process Scheduler for Improving User Experience in Multi-core Mobile Systems,” in Proceedings of the 7^th ACM International Symposium on Information and Communication Technology, SoICT’16, 2016.

Giang Son Tran, T. P. Nghiem, N. Q. Doan, A. Drogoul and C. M. Luong, “Fast Parallel Blur Detection of Digital Images,” in Proceedings of the 12^th IEEE-RIVF International Conference on Computing and Communication Technologies, RIVF’16, 2016.

N. Q. Doan, T. P. Nghiem and Giang Son Tran, “Dynamic Indexing for Content-Based Image Retrieval Systems using Hierarchical and Topological Network,” in Proceedings of the 8^th IEEE International Conference on Knowledge and Systems Engineering, KSE’16, 2016.

Giang Son Tran and T. P. Nghiem, “Cooperative iaas resource management: Policy and simulation framework,” in Proceedings of the 7^th IEEE International Conference on Knowledge and Systems Engineering, KSE’15, 2015.

Giang Son Tran, A. Tchana, D. Hagimont, and N. D. Palma, “Cooperative resource management in a iaas,” in Proceedings of the 29^th IEEE International Conference on Advanced Information Networking and Applications, AINA’15, 2015.

Giang Son Tran, L. Broto, and D. Hagimont, “Toward informed resource management in the cloud,” in Proceedings of the 6^th IEEE/ACM International Conference on Utility and Cloud Computing, UCC’13, 2013.

C. M. Kamga, Giang Son Tran, and L. Broto, “Power-aware scheduler for virtualized systems,” in Proceedings of the 2^nd International Workshop of Green Computing Middleware, GCM ’11, pp. 5:1– 5:6, ACM, 2011.

National Conferences

V. N. Huynh, Q. V. Kieu and Giang Son Tran, “A Pre-processing method for Medical Image Fusion using Image Features,” in “Hội thảo Quốc gia lần thứ XXVI: Một số vấn đề chọn lọc của Công nghệ thông tin và Truyền thông”, 2023.

O. C. Do, C. M. Luong, Giang Son Tran, ““A Hybrid Quantum-Classical Neural Network Utilizing the Lion Optimizer for COVID-19 Image Classification,” in Fundamentals and Applied IT Research, FAIR, 2023.

T. L. Nguyen, Giang Son Tran, “Fall and Chest-holding Posture Detection from Surveillance Camera with YOLOv7,” in Fundamentals and Applied IT Research, FAIR, 2023.

V. N. Huynh, K.V. Kieu, Giang Son Tran, “Impact of Color Spaces on Medical Image Fusion,” in Fundamentals and Applied IT Research, FAIR, 2023.

Giang Son Tran, T. Herbreteau, C. C. Nguyen, T. P. Nghiem, C. D. Oanh and H. D. Nguyen, “Sử dụng mô hình học sâu trong hỗ trợ xác định vị trí các nốt phổi trên ảnh cắt lớp vi tính,” in Fundamentals and Applied IT Research, FAIR, 2020.

C. D. Oanh, Giang Son Tran, C. M. Luong, H. D. Nguyen, T. D. Kieu, V. N. Nguyen, “Cải thiện độ chính xác cho nhận dạng tiếng nói tiếng Việt trên nền tảng DeepSpeech sử dụng mô hình ngôn ngữ KenLM,” in “Hội thảo Quốc gia lần thứ XXIII: Một số vấn đề chọn lọc của Công nghệ thông tin và Truyền thông”, 2020.

Graduate

• [PhD] High Performance Computing
• [PhD] Deep Learning and Applicaions in Medicine
• [M2] Mobile Applications
• [M2] Advanced Programming for HPC: CUDA
• [M2] Data Mining
• [M1] Information Systems
• [M1] Operating System and Network

Undergraduate

• [B3] Mobile Application Development
• [B3] Distributed Systems
• [B2] Object Oriented Programming
• [B2] Python
• [B2] Operating System
• [B1] Numerical Methods
• [B1] Basic Programming
• [B1] Introduction to Informatics

Current

Grad Students

• [PhD Student] Do Oanh Cuong: Deep learning methods for image analysis and understanding: Application to biomedicine
• [PhD Student] Pham Ngoc Ha: Deep Learning in X-Ray Image Analysis
• [PhD Student] Kieu Quoc Viet: Machine Learning and Optimization Methods for Medical Image Fusion
• [M2] Nguyen Xuan Tung: Image Fusion for Visible and Infrared images using deep learning methods
• Nguyen Tung Lam: Medical Image Fusion Using Deep Learning Methods

Undergraduate Students

• [BI11 ICT] Bui Le Thao: fertilizer analysis using UAV Multispectral images
• [BI12 DS] Chu Bao Minh: Rice grain size estimation using deep learning methods
• [BI12 DS] Nguyen Dang Son: some fusion things
• [BI12 ICT] Nguyen Viet Tung: Improving Communication Protocol and Orchestration Service in ULake
• [BI12 DS] Nguyen Cao Nguyen: An Ensemble Deep Learning Model for Multispectral Image Analysis
• [BI12 ICT] Phi Doan Minh Luong: Bioinformatics software for supporting GWAS analysis of Si absorbtion in Vietnamese rice varieties
• [BA11 ICT] Hoang Trung Kien Web apps for inference of N/P/K over/under fertilizer status

Group project

• None at the moment.

Internal sup

• [M1] Nguyen Thanh Do
• [BI12 DS] Doan Hoai Nhi
• [BI12 DS] Tran The Trung
• [BI12 ICT] Nguyen Duy An
• [BI12 ICT] Mai Hai Dang
• [BI12 ICT] Nguyen Minh Hoang
• [BI12 ICT] Hoang Minh Duc
• [BI12 ICT] Nguyen Dac Minh Khoi
• [BI11 ICT] Van Quoc An
• [BI12 ICT] Nguyen Tuan Vuong
• [BI12 ICT] Nguyen Hoang Nam (308)
• [BI12 ICT] Dam Huu Khoa
• [BI12 ICT] Tran Nguyen Phong
• [BI12 CS] Le Vu Hoang Linh
• [BI12 ICT] Chu Minh Quan
• [BI12 ICT] Tang Minh Tri
• [BI12 ICT] Doan Phu Khoa
• [BI12 ICT] Vu Quoc Thai
• [BI12 ICT] Le Nhu Ngoc
• [BI12 ICT] Ngo Thien Nga

Former ones

Grad Students

• [PhD] Dr. Nguyen Chi Cuong: Development of Deep Learning methods using Nodule Features for Lung Nodule Detection from CT Scan Images
• [M2] Nguyen Xuan Loc: Fusion algorithms for remote sensing images
• [M2] Nguyen Quoc Thong: Remote Sensing Multispectral Image Understanding using Representation Learning
• [M1] Nguyen Minh Thu: Utilization of AI and Machine learning for early detection of diabetes.
• [M1] Nguyen Xuan Tung: Deep Learning methods for Image Fusion on Medical Images
• [M2] Ha Trung Hieu: Deep Learning Methods for Segmentation of Multispectral Images
• [M2] Dinh Anh Duc: Machine Learning method for Gene Prioritization
• [M1] Pham Phan Bach (who is hurt and sad): Indexing and retrieval microservice for data lake
• [M1] Nguyen Quoc Thong: Multispectral image analysis
• [M2] Phan Minh Duong: Lung cancer detection using 3D methods
• [M1] Le Nhu Chu Hiep: Architecture and Design of data lake core
• [M1] Dinh Anh Duc: Lung cancer classification methods
• [M2] Loc Thi Thuy Linh: Image Segmentation for Medical Image Analysis
• Kieu Quoc Viet:
  • [M2] Deep Learning in Cancer Image Analysis
  • [M1] Face recognition from live camera
• [M1] Le Huy Duc: Parallelization of Image Denoising Algorithms
• [M1] Phan Minh Duong: Skin Cancer Image Classification
• [M2] Tom Herbreteau: Deep Learning Methods for Lung Nodule Detection
• [M1] Clément Pérrot: Lung nodule detection and malignancy prediction
• [M1] Nguyen Duc Tung: HPC for machine learning based medical image analysis
• [M2] Hoang Duc Viet: Noise Reduction and Evaluation
• [M1] Nguyen Nhu Khoa: High Performance GAMA, Analysis of Parallelization on Climate Simulation
• Nguyen Chi Cuong:
  • [M2] Image Blur Detection - GPU Implementation
  • [M1] Frequency-aware Process Scheduler on Multi-core Mobile Devices
• [M1] Tran Xuan Khoi: MapReduce k-means Clustering
• [M1] Pham Van Tuan: Blind Image Deconvolution

Undergraduate Students

• [BI11] Vo Thuy Trang: Regression methods for spectral reflectance data
• [BA10/BI11] Nguyen Huy Hoang: Prediction of Nutrition concentration on rice leaves using UAV images
• [BI11] Nguyen Dang Minh: Image analysis for rice leaf nutrition prediction
• [BI11] Nguyen Tung Lam: Pose detection from video stream
• [CYTech] Guillaume CALMEL: Deep learning regression methods for multispectral imaging
• [BI7] Do Minh Hoang: Development of remote file systems for data lake
• [BI10] Nguyen Quang Anh: Web application for remote lung cancer diagnosis
• [BI10] To Hoang Khoi Nguyen: Malignancy classification of lung nodule on CT scans using deep learning
• [BI10] Nguyen Xuan Tung: Deep Learning Methods for Hyperspectral Image Analysis
• [BI10] Pham Gia Phuc: Crop Analysis on UAV images
• [BI9] Tran Minh Hieu: Development of Data Query, Extraction and Sharing Tools for Data Lake
• [BI9] Nguyen Gia Phong: Development of data lake core
• [BI9] Trinh Phuong Thao: Development of Data Lake APIs and Dashboard
• [BI9] Nguyen An Thiet: Development of Data Acquisition and Integration Tool for Data Lake
• [BI9] Nguyen Quoc Thong: Image Indexing Methods
• [BI8] Bui Quang Huy: Pulmonary nodule classification using CNNs on Heat map conversion
• [BI8] Le Nhu Chu Hiep: Study and Design a Datalake Architecture
• [BI8] Nguyen Tuan Duy: Radiologist and Image management on Lung Cancer Care website
• [BI8] Dinh Nhu Minh Phuong: Containerization of machine learning models
• [BI7] Do Duy Huy Hoang: USTH interactive virtual world using Unreal Engine
• [E4] Yasin Aslan: 3D-based Deep Learning Detection Techiques in Lung Cancer Detection
• [BI7] Nguyen Van Hoang Long: Vietnamese Voice Dataset Construction
• [BI7] Le Gia Anh Quy: Language model in HMM for speech recognition
• [BI7] Bui Quoc Trung: Acoustic model in HMM for speech recognition
• [EISTI] Xavier Buisson: Distributed training and inference of Tensorflow
• [ULR] Hugo Beranger: Image Processing on FPGA
• [BI6] Nguyen Vu Hung: Object detection using Faster RCNN
• [BI6] Kieu Quoc Viet: Lung nodule classification
• [BI5] Nguyen Minh Duc: Parallelization of Gomoku AI (on GPU)
• [BI5] Doan Phan Quoc Bao: Face Detection on Embedded GPUs
• [BI4] Nguyen Nhu Khoa: Mobile Document Scanner
• [BI4] Vu Tung Son: Application for Data Acquisition
• [BI3] Ho Van Cuong: Mobile Phone Tracker

BeatUp.JS

• A small rhythm/music game

• Based on Audition Beat-Up mode

• Single player at the moment, multi-player is planned

• Still in (very slow) development

• Link

• Coming to Android as a native game. Anyone interested?

ICT Attend

• An attendance checking system
• 2 types
  • Standalone macOS app,
  • Or Android server + Backend server
• Closed source at the moment :v
• Gallery comes later…

Others

• GitHub for courses
• GitHub for hobbies
• InsanelyMac profile for Hackintosh activities