Welcome to my personal website. I'm a recent gradutate majoring in Information Technology at International University – VNU-HCM, Vietnam and currently a Java Developer Intern at Momo. This platform serves as a hub to showcase my academic journey, research work, and passion for using technology to create meaningful innovation.
My research is centered on Human-Computer Interaction (HCI), particularly in applying computer vision, artificial intelligence, and VR/AR to improve health awareness and user interaction. I have created the largest Vietnamese food image dataset, VietFood67, to fine-tune the YOLOv10 models for real-time food detection, nutritional analysis, and user interaction through a responsive and accessible platform.
Additionally, I’m deeply passionate about pushing boundaries in both research and development. I enjoy creating tools that are not only technically sound but also serve real-world needs. My skills span across:
- Programming Language (Python, Java, JavaScript)
- Backend Development (NodeJS, ExpressJS, Springboot, FastAPI, MySQL)
- Computer Vision (YOLO, OpenCV, Roboflow)
- AI Integration (LangChain, CrewAI, Gemini API)
- Research Interests (HCI, Deep Learning, Computer Vision, VR/AR)
Whether you're a fellow researcher, developer, or someone interested in AI for health and human behavior, I hope you find inspiration here. Feel free to explore my projects and publications or connect with me through my contact links on the left sidebar.
Education
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B.Eng. in Information Technology, Vietnam National University, International University, Ho Chi Minh City, Vietnam.
Certificates
- IELTS - 7.5 (11/2024 - 11/2026) [View]
Awards
- Best Paper Runner-Up Award at SOICT 2024 [View]
Activities
SOICT 2024 — Symposium on Information and Communication Technology
At the SOICT 2024 conference, I presented my accepted paper titled "Now I Know What I am Eating: Real-time Tracking and Nutritional Insights Using VietFood67 to Enhance User Experience." This research focuses on the intersection of human-computer interaction and computer vision, using the YOLOv10 model with a custom largest Vietnamese food dataset, VietFood67 to help users visualize nutritional values in real time, which was evaluated via a 35 participants user study.
Learn more about SOICT 2024 — Symposium on Information and Communication Technology
ICCIT 2024 — International Conference on Innovation and Challenges in Computing & Innovative Technologies for a Sustainable Future
I had the honor of presenting my accepted paper titled "It’s Yummy: Real-Time Detection and Recognition of Vietnamese Dishes" at ICCIT 2024, hosted by the British University Vietnam. This research explores the integration of YOLOv10 into web application to enhance health awareness using real-time Vietnamese food detection.