Duy-Tan Nguyen

1. Mathematical Foundations: Utilizing strong mathematical principles to enhance feature extraction techniques and improve data quality for high-performance AI models. 2. Generative AI: Researching the core mechanisms and architectural designs of generative frameworks, with a primary focus on Diffusion Models and their applications in image synthesis, text-to-image generation, and other creative domains. 3. Advanced Deep Learning: Investigating state-of-the-art Deep Learning architectures to develop robust solutions for complex real-world challenges.