International Journals

Q. H. Nguyen, Giang Son Tran, H. Mai & T. M. H. To, “Genome-wide association study reveals new potential quantitative trait loci (QTLs) and genes associated with mineral accumulation under silicon supplementation in Vietnamese rice landraces”, Genetic Resources and Crop Evolution (SCIE, Q2), 2026.

N. H. Pham, Giang Son Tran, A. Doucet, “Pneu-ConViT: A CLAHE-Enhanced Hybrid CNN–Vision Transformer Ensemble for Pneumonia Classification”, IET Image Processing (SCIE, Q2), 2026.

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.

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.

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.

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

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].

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.

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

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 9^th International Conference on Intelligent Systems and Networks, ICISN’26, 2026.

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 11^th International Conference on Intelligent Information Technology, ICIIT’26, 2026.

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 11^th International Conference on Intelligent Information Technology, ICIIT’26, 2026.

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 17^th International Conference on Computer Science and its Application, CSA’25, 2025.

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 17^th International Conference on Computer Science and its Application, CSA’25, 2025.

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 8^th IEEE International Conference on Multimedia Analysis and Pattern Recognition, MAPR’25, 2025.

N. H. Pham and Giang Son Tran, “Overview of fine-tuning CNN-Based Models for X-ray Image Classification” in Proceedings of the 9^th International Conference on Intelligent Information Technology, ICIIT’24, 2024.

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.

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.

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

L. L. Luu, H. T. L. Vu, Giang Son Tran, T.P. Nghiem, “Explainable AI for Detection of Fruit States and Diseases using Faster R-CNN and ConvNeXt Backbone,” in Hội thảo Quốc gia lần thứ XXVIII: Một số vấn đề chọn lọc của Công nghệ thông tin và Truyền thông, 2025.

D. A. Vu, Giang Son Tran, T.P. Nghiem, “A Multitask, Multilingual Prompting Vision Language Model For Vietnamese Language,” in Fundamentals and Applied IT Research, FAIR, 2025.

Q. H. Nguyen, M. L. H. Luu, Giang Son Tran and H. T. M. To, “Sự khác biệt về sinh trưởng và khả năng vận chuyển phosphate giữa các giống lúa bản địa Việt Nam khi bổ sung Silic,” in “Hội nghị Sinh lý thực vật toàn quốc lần thứ 3”, 2025 [accepted].

N. C. H. Le and Giang Son Tran, “A micro management framework for IoT smart farm,” in “Hội nghị Khoa học kỷ niệm 50 năm thành lập Viện Hàn lâm KH&CN Việt Nam”, 2025.

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] Advanced Programming for HPC
• [M1] Deep Learning

Undergraduate

• [B3] Machine Learning in Medicine
• [B3] Introduction to Deep Learning
• [B3] Mobile Application Development
• [B2] Object Oriented Programming
• [B2] Advanced Programming with Python
• [B2] Image Processing

Current

Grad Students

• [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
• [PhD Student] Yuchen Xue: Detection, Recognition, and Tracking of Marine Species Using Video Analysis: Toward Dynamic Population Estimation for Biodiversity Conservation
• [PhD Student] Le Nhu Chu Hiep: Improving robustness and efficiency of multimodal image registration and analysis using probabilistic models and deep learning methods
• Multimodal Analytical Modeling for Innovative and Sustainable Management of Heritage Documents

Undergraduate Students

• [BI14 DS] Nguyễn Minh Thư: Fusion of RGB-Thermal image for wildfire detection
• [BI14 ICT] Nguyễn Thế Ánh Dương: The Lost Laboratory – A 2D Puzzle Adventure Escape Room game in Unity
• [BI14 ICT] Kiều Tuấn Phương: Integrated Language Learning Management System

Group project

Internal sup

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
• [PhD] Dr. Do Oanh Cuong: Deep learning methods for image analysis and understanding: Application to biomedicine
• [M2] Le Minh Hoang: Face Recognition on edge devices
• [M2] Lương Thị Ngọc Diệp: Rice Grain Analysis Using Deep Learning-based Image Segmentation
• [M2] Lê Đức Bách: Prediction of rice Fertilizer using remote sensing image
• [M2] Nguyễn Tùng Lâm: Prediction of Tomato Yield Impact Based on Leaf Disease using Deep Learning
• [M2] Nguyễn Việt Tùng: Predictive Autoscaling Frameworks for High-Throughput Financial Data Pipelines on On-Premise Kubernetes
• [M1] Trần Minh Trung: Optimizing Lightweight Deep Learning Models for Real-time Face Detection on Resource-Constrained Edge Devices.
• [M1] Vũ Hà Vy: 3D Point Cloud Reconstruction from Unmanned Aerial Vehicle Images
• [M1] Lê Nghiêm Thanh Thủy: Trajectory prediction on autonomous vehicles
• [M1] Hồ Thanh Thủy Tiên: Improving Underwater Image Enhancement Using Attention-Augmented GAN
• [M1] Nguyễn Nhật Anh: Reinforcement Learning for Gomoku game
• [M1] Mr. Orange. Something discussed ages ago that WE couldn’t remember.
• [M1] Đỗ Minh Quang: Fisheye image correction using multiple distortion coefficients PSO optimization
• [M1] Nguyễn Phong Châu: Memory Redundancy Patterns and Page-Level Deduplication in GPU-Resident Large Language Model Weights
• [M2] Pham Gia Phuc: Vision Language (VQA, IC, Image generation - stable diffusion)
• [M2] Nguyen Tu Tung: Explainability, Computer Vision, Smart Agriculture
• [M1] Nguyễn Nhật Anh: Reinforcement Learning for Gomoku Gameplay
• [M1] Luong Thi Ngoc Diep: also something that I forgot (v2)
• [M1] Bui Tuan Minh: Fast and lightweight facial expression recognition
• [M1] Dang Thai Son: some ETL pipeline in a datalake
• [M2] Nguyen Xuan Tung: Deep Learning based Image Fusion Methods of Visible and Infrared Images for Object Detection tasks
• [M2] Pham Phan Bach: Regression methods for analysis of rice spectral reflectance data
• [M1] Pham Gia Phuc: Skin cancer classification using deep learning
• [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

• [BI14 DS] Phạm Duy Anh: Patient EHR Graph Representation for Multi-task Learning

• [BI14 DS] Nguyễn Thế Khải: Brain cancer segmentation on Fused Medical Images

• [BI14 DS] Nguyễn Lâm Tùng: Chest Medical Image Fusion for Multimodal Clinical Analysis

• [BI14 DS] Hoàng Kim Hương: Brain cancer detection on Fused Medical Images

• [BI14 DS] Hồ Huyền Châu: Remote Photoplethysmography from Facial Video

• [BI14 DS] Ngô Anh Tâm: Multi-Agent Traffic Signal Control using Reinforcement Learning for Traffic Congestion Reduction

• [BI14 ICT] Đặng Trung Hiếu: Intracranial hemorrhage Detection and Classification

• [BI14 ICT] Vương Hồng Minh: Multi-step Football Player Trajectory Forecasting

• [BI14 DS] Hoàng Khánh Đồng: Warehouse Spatial Intelligence

• [BI14 ICT] Nguyễn Huy Hải: Reinforcement Learning for autonomous car driving on TrackMania

• [BI14 CS] Nguyễn Tiến Duy: P2P file data transfer for SOC/IDS IPS systems

• [BI14 DS] Phạm Công Duyệt: Low-Dose Lung CT Image Denoising Using Diffusion Models

• [BI14 ICT] Thai Therence: Helmet/road laws Compliance Detection for Motorcycle Riders in Vietnamese Traffic Using YOLO

• [BI14 DS] Lê Chí Thanh Lâm: Parameter Efficient Fine Tuning Hybrid CNN-ViT architecture for Chest X-Ray classification

• [BI13 ICT] Cấn Minh Hiển: Fraud detection on monitoring transactions

• [BI12 ICT] Nguyễn Hoàng Tùng: Deploying and scaling data lakes with Terraform

• [BI13 ICT] Tran Ngoc Viet Anh: The Library Management System by Facial Identification

• [BI13 ICT] Cao Thai Ha: Content-based image retrieval using Convolutional Neural Network in Lung Cancer images

• [BI13 ICT] Nguyen Hoang Phat: Reinforcement Learning Chess Bot with Stockfish

• [BI13 ICT] Vu Ha Vy: 3D Point Cloud Reconstruction for UAV images

• [BI13 ICT] Pham Le Quy Duc: Fisheye image correction using deep learning

• [BI13 ICT] Do Minh Quang: Optimization fisheye curve by correcting distortion

• [BI13 DS] Pham Tuan Nam: Image Captioning

• [BI13 DS] Nguyen Quang Huy: Applications of Image Fusion in healthcare problems

• [BI13 DS] Nguyen Tuan Khai: Comic Analysis

• [BI12 DS] Nguyen Cao Nguyen: An Ensemble Deep Learning Model for Multispectral Image Analysis

• [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: pan sharpening hyperspectral image

• [BI12 ICT] Nguyen Viet Tung: Improving Communication Protocol and Orchestration Service in ULake

• [BI12 ICT] Phi Doan Minh Luong: Bioinformatics software for supporting GWAS analysis of Si absorbtion in Vietnamese rice varieties

• [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

Group Projects

• 2025-2026:

• GP1: Seismic classification using distributed acoustic sensor: Đinh Đức Anh, Phạm Quang Anh, Nguyễn Ngọc Dũng, Nguyễn Khánh Linh, Hoàng Phi Long, Nguyễn Hoàng Bảo Long, Quách Nhật Bảo Sơn

• GP2: Character and Dialog association in comic: Nguyễn Vũ Hồng Ngọc, Hoàng Khánh Đồng, Phạm Quang Vinh, Nguyễn Lâm Tùng, Phạm Quang Minh, Lê Chí Thanh Lâm

• GP3: Depth estimation and object detection

  • [BI14 DS] Hoang Kim Huong
  • [BI14 ICT] Nguyen Huy Hai
  • [BI14 ICT] Dang Trung Hieu
  • [BI14 ICT] Nguyen Quoc Hung
  • [BI14 ICT] Tran Thu Huyen
  • [BI14 ICT] Nguyen Quang Dao
  • [BI14 DS] Doan Ngoc Linh

• GP4: Study buddy

  • [BI14 ICT] Nguyễn Duy Hưng
  • [BI14 CS] Nguyễn Thái Tú
  • [BI14 CS] Nguyễn Tiến Duy
  • [BI14 DS] Nguyễn Minh Đức
  • [BI14 ICT] Lại Quang Huy
  • [BI14 ICT] Đàm Tuấn Hưng
  • [BI14 ICT] Nguyễn Tiến Dũng

• GP5: Malware classification using machine learning (feature extraction, sandbox API log…)

  • [BI14 DS] Nguyễn Minh Đạt
  • [BI14 CS] Trần Thục Anh
  • [BI14 CS] Lương Quỳnh Nhi
  • [BI14 CS] Nguyễn Thị Vàng Anh
  • [BI14 DS] Trần Thị Vân Giang
  • [BI14 DS] Phạm Minh Hiếu
  • [BI14 CS] Nguyễn Quỳnh Trang

• GP6: Ecommerce recommendation

  • [BI14 ICT] Doãn Tùng Lâm
  • [BI14 DS] Trương Thị Lan Anh
  • [BI14 DS] Hồ Huyền Châu
  • [BI14 DS] Nguyễn Thế Cường
  • [BI14 DS] Phạm Minh Đức [Japanese]
  • [BI14 ICT] Phạm Phương Thảo

• GP7: ASL

  • [BI14 ICT] Nguyễn Quang Minh
  • [BI14 ICT] Nguyễn Tuấn Dũng
  • [BI14 ICT] Trịnh Nhật Huy
  • [BI14 ICT] Nguyễn Minh Tuấn
  • [BI14 ICT] Hoàng Quang Minh
  • [BI14 ICT] Lê Huy Hoàng

• GP8: Legal Document Retrieval using Graph Representation

  • [BI14 DS] Phạm Duy Anh
  • [BI14 DS] Nguyễn Thái Nhất Anh
  • [BI14 DS] Lê Quốc Anh
  • [BI14 DS] Ngô Xuân Kiên
  • [BI14 DS] Nguyễn Thế Khải
  • [BI14 DS] Đinh Thành Hiếu

• GP1: URL/Website fake detection

  • [BI13-CS] Nguyễn Minh Đức
  • [BI13-ICT] Phạm Lê Quý Đức
  • [BI13-ICT] Bùi Việt An
  • [BI13-ICT] Nguyễn Duy Quân
  • [BI13-ICT] Lê Hoài Nam
  • [BI13-ICT] Nguyễn Thái Bình
  • [BI13-CS] Trần Minh Phương

• GP2: PDF to LateX

  • [BI13-DS] Cao Nhật Nam
  • [BI13-DS] Phạm Ngọc Minh Châu
  • [BI13-DS] Nguyễn Đức Duy
  • [BI13-DS] Bùi Nguyễn Ngọc Huyền
  • [BI13-DS] Vũ Hải Thiên Long
  • [BI13-DS] Lưu Linh Ly
  • [BA12-DS] Đỗ Thị Hương Trà

• GP3: SmartFarm

  • [BI13-DS] Nguyễn Thị Vân
  • [BI13-DS] Chu Hoàng Việt
  • [BI13-ICT] Nguyễn Hoài Anh
  • [BI13-ICT] Nguyễn Đăng Nguyên
  • [BI13-ICT] Đỗ Minh Quang

• GP4: Image Captioning

  • [BI13-ICT] Lê Anh Quang
  • [BI13-ICT] Giáp Đỗ Anh Minh
  • [BI13-ICT] Hồ Thanh Thủy Tiên
  • [BI13-ICT] Vũ Hà Vy
  • [BI13-ICT] Hoàng Long
  • [BI13-DS] Nguyễn Trọng Minh
  • [BI13-ICT] Phan Nguyễn Tuấn Minh

• GP5: Brain MRI Classification

  • [BI13-DS] Thái Doãn Kiên
  • [BI13-DS] Nguyễn Hoàng Hà
  • [BI13-DS] Bùi Đinh Lam
  • [BI13-DS] Đào Hoàng Dũng
  • [BI13-DS] Hoàng Minh Chí
  • [BI13-DS] Nguyễn Phúc Minh
  • [BI13-DS] ??

• GP6: Comic Information Extraction

  • [BI13-DS] Lê Linh Long
  • [BI13-DS] Phạm Thái Sơn
  • [BI13-DS] Nguyễn Quang Huy
  • [BI13-DS] Nguyễn Tuấn Khải
  • [BI13-DS] Nguyễn Hải Đăng

• GP7: Seq2Seq chatbot

  • [BI13-ICT] Lương Ngọc Phúc
  • [BI13-ICT] Đỗ Hoàng Sơn
  • [BI13-ICT] Nguyễn Minh Quân
  • [BI13-ICT] Vũ Đức Duy
  • [BI13-ICT] Nguyễn Hoàng Lân
  • [BI13-ICT] Nguyễn Hoằng Phát
  • [BI13-DS] Phạm Tiến Đạt

• Training/Inference Model Management System for Hyper/multispectral image.

  • [BI12] Bui Huy Hoang
  • [BI12] Mai Hai Dang
  • [BI12] Doan Dinh Dang
  • [BI12] Tran Hai Dang
  • [BI12] Nguyen Thanh Duc
  • [BI12] Nguyen Duy An
  • [BI12] Dao Duy Manh Ha

• Over/Under-fertilizer analysis system using Hyperspectral image

  • [BI12] Hoang Minh Duc
  • [BI12] Pham Xuan Trung
  • [BI12] Le Ngoc Phan Anh
  • [BI12] Nguyen Anh Quan
  • [BI12] Hoang Ha Dang
  • [BI12] Nguyen Hoang Nam
  • [BI12] Nguyen Tuan Vuong

• Rice field fertilizer status using multispectral image

  • [BI12 ICT] Nguyễn Tuấn Đạt
  • [BI12 ICT] Đỗ Tiến Đạt
  • [BI12 ICT] Nguyễn Xuân Anh
  • [BI12 ICT] Nguyễn Đình Chi
  • [BI12 ICT] Nguyễn Quang Đăng

• Hyperspectral + RGB image fusion for remote sensing images. HSI to NDVI (as gray) + RGB.

  • [BI12 DS] Nguyen Xuan Tung
  • [BI12 ICT] Nguyen Viet Tung
  • [BI12 DS] Nguyen Dang Son
  • [BI12 DS] Nguyen Cao Nguyen
  • [BI12 DS] Nguyen Xuan Minh Vu
  • [BI12 DS] Nguyen Hoang Duong

• Data management system for hyperspectral/analysis data

  • [BI12 ICT] Phí Đoàn Minh Lương
  • [BI12 DS] Phạm Trung Hiếu
  • [BI12 ICT] Nguyễn Minh Hoàng
  • [BI12 ICT] Nguyễn Hoàng Nam
  • [BI12 ICT] Lê Thái Trường Minh
  • [BI12 ICT] Phạm Minh Nghĩa
  • [BI12 ICT] Phạm Đỗ Ngọc Minh

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