UGGNet
Combining U-Net & VGG for breast cancer diagnosis.
About
I am a scientific researcher with a background in Artificial Intelligence. I graduated with a bachelor's degree in Artificial Intelligence and am currently completing my Master's in Computer Science at Nguyen Tat Thanh University in Ho Chi Minh City, Vietnam. With 2 years of research experience, I am particularly interested in Image Processing using Deep Learning techniques, as well as Machine Learning. Recently, my focus has shifted to exploring Audio Processing (1D data), a field with great potential and numerous applications in various industries and technologies. Currently, I am looking for PhD scholarship opportunities in Asia and Australia to continue advancing my research career and contribute to the global scientific and technological community.
Skills
Python
Computer Vision
Medical Imaging
PHP
JavaScript
Education
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Master's in Information TechnologyNguyen Tat Thanh University, Ho Chi Minh City, VietnamThesis Title: Proposing a Model for Medical Image Segmentation Using Knowledge Distillation Techniques.GPA: 3.71/4.003/2023 — 2025 (Expected)
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Engineer's Degree in Artificial IntelligenceNguyen Tat Thanh University, Ho Chi Minh City, VietnamThesis Title: Analysis and Prediction of Breast Cancer Probability from Ultrasound Images of Tumor Cells Using a Segmentation Model Combined with Neural Networks.GPA: 3.37/4.009/2020 — 03/2024
Research Activities & Publications in Progress
Current Involvements
- Ensemble Learning for Ultrasound Image Classification - exploring robust model aggregation techniques.
- A Novel Loss Function for Knowledge Distillation in Image Segmentation - proposing improvements for teacher-student model training.
Peer Review 2025
- IEEE Access - Reviewer - Reviewed 10 peer-reviewed research papers. IF: 3.6 (2025)
- IEEE Transactions on Industrial Informatics - Reviewer - Reviewed 2 peer-reviewed research papers. IF: 9.9 (2025)
Experience
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1
AI Research Intern
Viện Cơ Học Và Tin Học Ứng Dụng · 10/2023 – 12/2023 · Tp. Hồ Chí MinhĐề tài nghiên cứu: Nâng cao hiệu quả của học máy trong dự báo tổn thất nông nghiệp. Ứng dụng kỹ thuật cân bằng nhãn (SMOTE) và phương pháp học sâu để cải thiện hiệu suất dự báo. Kết quả thực tập là một bài báo khoa học dựa trên nghiên cứu đã thực hiện.
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2
AI Research
Cybertech Cyber Technology JSC · 01/2025 - Hiện nay · Tp. Hồ Chí MinhNhà nghiên cứu toàn thời gian
Projects
GitHub →Scalogram Optimizer
Reduce the complexity of audio recognition using DL.
KD Toolkit (Seg)
Knowledge Distillation frame for segmentation with Dice/CE/KL.