I focus on Multimodal Learning, Image Forensics, and Applied AI Systems. My work spans from training deep learning models (CV, NLP, time-series) to building end-to-end systems for real-world applications.

Ton Duc Thang University - B.Sc. in Computer Science (Artificial Intelligence)
2023 - 2027

• Relevant Coursework: Deep Learning, Computer Vision, Natural Language Processing
• Awards:
  • 3rd Prize, Student Scientific Research Competition, TDTU (2025)
  • Encouragement Prize, Vietnam Datathon – DataStorm (2025)
  • Top 11, NASA Space Apps Challenge – Ho Chi Minh City (2025)
  • Encouragement Prize, Southern AI Olympiad (2025)

Thang Long High School for the Gifted - Specialized in Chemistry
2020 - 2023

• Awards:
  • 3rd Prize, Provincial Excellent Student Competition, Lam Dong (2021)
  • Member, Lam Dong Provincial Team for National Excellent Student Competition (2021)

• Nguyen, Q. H., & Pham, V. H. (2026). ASBW: A frequency-domain analysis approach for distinguishing GAN-generated images from real images. In Proceedings of The Digital Convergence in Economics, Society and Technology (DCEST) 2026 International Conference (pp. 95–105).

An end-to-end retail analytics and SKU-level demand forecasting platform for FMCG, integrating time-series modeling with interactive dashboards.

My Role (Team of 5)

• Engineered SKU-level time-series features (lag, rolling statistics, seasonal encodings).
• Developed XGBoost forecasting models achieving 5% lower MAPE than seasonal baseline.
• Deployed forecasting API with FastAPI.
• Built analytics dashboard with React and Next.js.

Features

• Interactive sales analytics with geo/channel drill-down.
• 7-day demand forecasting for inventory optimization and stock alerting.
• Price elasticity and promotion impact analysis.
• Multi-country store comparison via geospatial visualization.

Tech Stack

• Frontend: Next.js, React, shadcn/ui, Tailwind CSS.
• Backend: FastAPI, PostgreSQL, Redis.
• Machine Learning & Forecasting: Pandas, Scikit-learn, XGBoost.

A air quality monitoring and 7-day AQI forecasting platform integrating satellite, ground-station, and meteorological data streams.

My role

• Developed LSTM-based time-series models for 7-day AQI forecasting using multi-source environmental datasets.
• Contributed to interactive AQI visualization and spatial tracking using React.

Features

• Real-time ingestion from satellite and ground-based environmental sources.
• Deep learning-based 7-day AQI forecasting.
• AQI alerting system aligned with WHO and EPA thresholds.
• Temporal-spatial visualization for air quality monitoring.

Tech Stack

• Frontend: React, Next.js, Tailwind CSS.
• Backend: FastAPI, PostgreSQL.
• Machine Learning & Forecasting: PyTorch, Pandas, NumPy, LSTM.

A real-time stock platform integrating deep learning-based forecasting, NLP-driven sentiment analysis, and live market data streaming.

My role (Team of 2)

• Designed an architecture using WebSockets for real-time stock price streaming.
• Developed LSTM-based models for short-term trend forecasting on historical price data.
• Fine-tuned PhoBERT for financial news sentiment analysis.
• Built blogging and publishing platform.

Features

• Real-time stock dashboards with live price updates.
• Deep learning-based trend forecasting.
• NLP-powered sentiment scoring on Vietnamese financial news.
• Community blogging platform for investment insights.

Tech Stack

• Frontend: React, Next.js, Tailwind CSS.
• Backend: FastAPI / Node.js, PostgreSQL, WebSockets.
• Machine Learning & NLP: PyTorch, LSTM, PhoBERT, Pandas.

• Languages: Python, JavaScript, SQL.
• ML/DL: PyTorch, scikit-learn, Hugging Face.
• Data & ETL: Pandas, NumPy.
• APIs & Serving: FastAPI, Flask, ExpressJS.
• Visualization: Matplotlib, Seaborn, Plotly.
• Datastores: MySQL, MongoDB.
• Frontend: React, TailwindCSS.

• TOEIC (Listening: 480/495; Reading: 365/495; Speaking: 120/200; Writing: 150/200)
• Agile Development & Scrum Framework (Techbase Vietnam)

• Homepage: https://victornguyenlpn.github.io/
• Email: nqhuy.aie@gmail.com or nguyenquanghuy.st@tdtu.edu.vn
• Github: VictorNguyenLPN
• LinkedIn: linkedin.com/in/nguyenquanghuy040805
• ORCID: 0009-0003-3203-0415