Student Research Program - Cohort 1, 2026

The AI-LAB Student Research Program provides early-year undergraduate students with opportunities to explore research, develop practical skills, and participate in research activities at AI-LAB. The program is designed especially for first- and second-year students who are interested in Artificial Intelligence and would like to begin their research journey early.

Each cohort is led by an AI-LAB faculty member and focuses on selected research directions.

I. Cohort 1, 2026

• Faculty lead:

  1. Phuc H. Duong

  2. Ngoc-Tu Huynh

• Senior students

II. Research Directions

• [1] Agentic Workflows for Scheduling Problems

• [1] Agentic Workflows for Machine Translation

• [1] LLM Reasoning and Self-Improvement

• [2] Visual Cryptography

• [2] Information Forensics and Security 

• [2] Watermarking - Steganography

• [2] Image Processing - Image Analysis - Pattern Recognition

• [2] Blockchain

• [2] Adversarial Machine Learning

III. Who We Are Looking For

We welcome students who:

• Are currently in their first or second year at the Faculty of Information Technology

• Have a strong interest in programming and Artificial Intelligence

• Have basic programming skills in at least one language such as C/C++, Python, or Java

• Have basic English reading skills

• Are responsible, committed, and willing to learn

Prior research experience is not required. We particularly value curiosity, self-learning, and a genuine interest in exploring new ideas.

IV. What You Will Gain

Students participating in the program will have opportunities to:

• Work on research-oriented problems under the guidance of AI-LAB researchers

• Develop research, programming, and problem-solving skills

• Build a long-term research pathway that may later develop into an Graduation Thesis

• Explore opportunities to contribute to scientific publications when the research results are suitable

• Connect with AI-LAB's academic and industry network and explore future professional opportunities

V. How to Apply

• Prepare a CV introducing yourself, your interests, and relevant experience.

• In addition to basic information, we encourage you to include things you have explored, learned, or built independently, including activities from high school (if any). These may include personal projects, programming experiments, technical topics you have studied, competitions, or other evidence of your interests and self-learning.

• Submit your CV through our online application form.