Dung V. Nguyen

AI Researcher | Machine Learning Specialist

About Me

Dung V. Nguyen

I am currently pursuing my PhD in Mathematics at National University of Singapore under the co-supervision of Prof. Tan Nguyen and Prof. Zhang Lei. My interests lie in mathematics and its applications, particularly in optimization and deep learning. I aspire to an academic career, contributing to both the theoretical and practical aspects of mathematics in AI.

My research focuses on uncovering the mathematical intuition behind AI models and leveraging mathematical tools to optimize models and enhance computational efficiency. I seek to collaborate with faculty and researchers who share my enthusiasm for advancing mathematical knowledge and developing innovative solutions to complex problems.

My Thought on Research Approach

Throughout my academic research experience, I have identified recurring patterns in methodology that appear in many papers. This observation has led me to categorize AI research skills into three distinct levels:

Level 1 ("LEGO Assembly"): Researchers naively combine modules from different architectures, relying on trial and error to improve performance.
Level 2 (Methodological Abstraction): Researchers integrate techniques to offset weaknesses, uncovering hidden connections and introducing novelty.
Level 3 (Mathematical Modeling): Researchers transform problems into mathematical frameworks, ensuring scalability, interpretability, and robustness for future advancements.

How I See Math

I've always felt that math has levels - not just in difficulty, but in how people relate to it.

Level 3: The Ones Who Invent Math These are the true pioneers. They solve problems no one else can and often create new branches of math along the way. People like Pythagoras, Terence Tao, or Ngô Bảo Châu - they're on a different level entirely.
Level 2: The Builders These folks might not invent new math, but they understand it deeply and use it to build amazing things - like tech companies, rockets, or AI. They take high-level math and make it useful in the real world.
Level 1: The Teachers Not everyone becomes a math genius or tech innovator, but many choose to teach. They're the ones who help others learn and grow, passing down knowledge and sparking curiosity. Without them, the rest wouldn't exist.

Research Interests

Mixture of Experts Optimization Computer Vision Reinforcement Learning

Education

PhD in Mathematics

National University of Singapore (NUS)

2025 - Present

Research areas: AI4Math

Master of Science in Mathematics and Informatics

Hanoi University of Science and Technology

2024 - Present

Relevant coursework: Advanced Machine Learning, Optimization Methods, Computer Vision, Reinforcement Learning

Bachelor of Science in Mathematics and Informatics

Hanoi University of Science and Technology

2019 - 2023

Graduated with Honors

Selected Publications

Contact

Get in Touch

nguyenvietd67@gmail.com

@DungNv1714

github.com/kpup1710

Documents

View CV

Blogs