Prospective Students
I welcome motivated students who are interested in developing long-term research ability in artificial intelligence, optimization, and computational intelligence.
Who Should Consider Joining Us
Our group is a good fit for students who are genuinely curious about how intelligent systems work, who enjoy mathematical reasoning and rigorous thinking, and who are willing to invest the sustained effort that meaningful research requires. Prior coursework in algorithms, machine learning, or optimization is helpful but not always required — what matters most is intellectual maturity and a willingness to learn.
What You Will Learn Here
- Research taste: How to identify meaningful problems, not just solvable ones.
- Rigorous methodology: How to design experiments that actually answer the questions you are asking.
- English academic writing: How to communicate your ideas clearly to an international audience.
- Independent thinking: How to move from following existing work to defining your own research direction.
- International visibility: How to engage with the global research community through publications, reviews, and conferences.
- Long-term research ability: Not just producing one paper, but building the capacity to sustain a research career.
Research Directions for Students
- Dynamic multiobjective optimization
- Learning-driven evolutionary computation
- Large language models for optimization
- Scientific AI and differentiable simulation
- AI for engineering decision-making
See Research Themes for more details on each direction, including open problems and potential student projects.
How I Supervise
I work closely with students, especially in the early stages. Expect regular meetings, detailed feedback on writing and experiments, and honest discussion about what is working and what is not. As you grow, I encourage increasing independence in choosing problems and designing solutions. The goal is for you to eventually become a researcher who can lead projects, not just execute them.
Expected Background
- Solid foundation in mathematics (linear algebra, probability, calculus)
- Programming proficiency (Python, MATLAB, or similar)
- Basic knowledge of machine learning or evolutionary computation
- Reading ability in English academic literature
- Most importantly: curiosity, persistence, and intellectual honesty
How to Contact Me
If you are interested, please send me an email (see Contact). I read every serious inquiry, though it may take time to respond.
Suggested Email Structure
- Subject: Prospective Student — [Your Name] — [Program Level]
- One paragraph: who you are, your current program and university.
- One paragraph: what specifically interests you about our research (be specific — reference a paper or theme).
- One paragraph: your relevant background and any research experience.
- Attach your CV and transcript if available.
A thoughtful, specific email is far more effective than a generic one.