About Me

I am currently a Computer Science student at University of Technology, HCM-VNU. I have a particular interest in applying mathematical foundations and advanced deep learning architectures to address real-world problems.

Research Interests

  • Mathematical Foundations: Utilizing strong mathematical principles to enhance feature extraction techniques and improve data quality for high-performance AI models.
  • Advanced Deep Learning: Investigating state-of-the-art Deep Learning architectures to develop robust solutions for complex real-world challenges.

Curriculum Vitae
Download CV

🎓 Education

Bachelor of Science in Computer Science
2023 – Present
Ho Chi Minh City University of Technology (HCMUT - VNU)
  • GPA: 2.9/4.0
    • Core Member
    Sep 2024 – Present
    HCMUT EE Machine Learning and IoT Lab

    💼 Professional Experience

    Lab Teaching Assistant
    June 2025 – Sep 2025
    HCMUT EE Machine Learning and IoT Lab

    🏆 Selected Projects & Honors

    Brain Tumor Classification with 4 Methods
    Programming Integration Project
    GitHub Link | Grade: 9.5/10 (Highest Distinction)
    • Conducted a rigorous benchmarking study of 4 distinct architectures: Naive Bayes, Random Forest, Multi-Class SVM (OVO), and Custom CNN.
    • Implemented feature engineering using HOG and dimensionality reduction via PCA vs. automatic feature extraction in CNNs.
    • Demonstrated that SVM (97.0%) outperformed Deep Learning (CNN 90.6%) on this dataset, highlighting the efficiency of Convex Optimization.
    Video Retrieval - Final Round AI Challenge 2025
    Jun 2025 – Nov 2025
    • Engineered a video processing pipeline using TransNetV2 for shot boundary detection and SliTraNet for spatial-temporal feature extraction.
    • Integrated YOLO for object detection and OCR engines to extract textual information.
    • Implemented advanced query processing and retrieval algorithms to optimize search accuracy.
    Mushroom Classification Analysis
    May 2025
    Award: First Prize - Olympic AI HCMC 2025
    • Developed a CNN-based model for mushroom classification focusing on high accuracy.
    • Implemented data augmentation techniques to increase dataset diversity.
    • Applied ensemble methods and mutual deep learning strategies to boost performance metrics.
    PM2.5 Air Quality Forecasting (Multivariate Time-Series)
    Personal Project
    GitHub Link
    • Engineered a LSTM architecture using PyTorch to forecast PM2.5 levels from multivariate atmospheric data.
    • Implemented custom training loop with Early Stopping and TensorBoard integration for real-time loss monitoring.
    Human Motion Generation with Diffusion Models
    Ongoing Research
    • Investigating Denoising Diffusion Probabilistic Models (DDPM) to synthesize realistic 3D human motion sequences.
    • Implementing a Transformer-based architecture with Cross-Attention mechanisms.
    Smart Supermarket Web System
    Jun 2025 – Sep 2025
    Award: Top 20 - IoT Challenge 2025 & Most Popular Team Award
    • Implemented an automated checkout system integrating web-based payments and barcode recognition.
    • Developed an intelligent chatbot using the Gemini API to handle customer queries.

    🔬 Technical Skills

    Programming

    Python C/C++ Java LaTeX

    Frameworks & Tools

    PyTorch Git/Github

    Research Areas

    Generative AI Computer Vision Applied Maths for AI

    Publications

    Enhanced Multimodal Video Retrieval System: Integrating Query Expansion and Cross-modal Temporal Event Retrieval.

    Van-Thinh Vo, Minh-Khoi Nguyen, Minh-Huy Tran, Anh-Quan Nguyen-Tran, Duy-Tan Nguyen, Khanh-Loi Nguyen, & Anh-Minh Phan.

    In Proceedings of the 14th International Symposium on Information and Communication Technology (SOICT 2025).

    • Proposed a robust retrieval system with adaptive KDE-GMM thresholding for optimal keyframe extraction (my contribution).
    • Enhanced search performance using LLM-based query expansion, achieving strong results in the HCM AI Challenge 2025.
    PDF (Preprint)

    Recent News

    Oct 20, 2025
    FINAL ROUND OF THE AI CHALLENGE 2025, details at HCMUT EE Machine Leaning and IoT Lab as a full post.
    Dec 22, 2025
    Most Popular Team Award – MLIoT_Newbie, details at FPT Software Academy as a full post.
    Jun 30, 2025
    Basic Python and Machine Learing - Summer Course has been opened at HCMUT EE Machine Leaning and IoT Lab as a full post.
    May 27, 2025
    TOP 20 IOT CHALLENGE 2025 COMPETITIONS, details at HCMUT EE Machine Leaning and IoT Lab.
    Apr 28, 2025
    FIRST PRIZE OF THE HO CHI MINH CITY AI OLYMPIC COMPETITION 2025, details at HCMUT EE Machine Leaning and IoT Lab.

    Certifications

    Introduction to Transformer-Based Natural Language Processing
    Issued: September 17, 2025
    View certificate
    Generative AI with Diffusion Models
    Issued: July 23, 2025
    View certificate
    Getting Started with Deep Learning
    Issued: December 30, 2024
    View certificate
    Certificate of Attendance
    SOICT and HCMUS-VNU
    Issued: December 22, 2025
    View certificate