A selection of research projects
Projects.
Research spanning quantum machine learning, computational chemistry, and AI-driven food science.
01Active
Quantum Deep Learning for Science
Developing quantum-enhanced deep learning models and algorithms to tackle fundamental challenges in scientific disciplines, focusing on robust and scalable quantum architectures.
Optimization based on Artificial Neural Networks
Applying artificial neural networks to design and optimize complex experimental processes, providing precise forecasting and multidimensional parameter tuning for scientific research.
02Past
AI for Vietnamese Orange Quality
Non-destructive prediction of citrus sweetness using computer vision and deep neural networks. Achieved real-time inference for farm-to-fork supply chain applications.
In Silico Screening for Medicinal Plant Research
Computational screening of bioactive compounds from traditional medicinal plants using molecular docking, pharmacophore modeling, and cheminformatics to discover novel therapeutic candidates.