Theme 01
Simulation and scientific computation
Building computational workflows and analysis pipelines for scientifically meaningful modeling, prediction, and interpretation.
Research profile
Research in numerical simulation, robotics, scientific machine learning, and control-oriented intelligent systems.
I work on computational and intelligent methods that connect physical reasoning, data-driven learning, and practical implementation. This website is designed as a long-term academic home for presenting research direction, publications, projects, teaching, and technical communication.
Research agenda
A scholarly overview of the work
This homepage is structured to communicate a research identity first: what problems matter, what methods are used, and how projects, publications, and teaching connect within one academic profile.
Theme 02
Robotics and intelligent systems
Developing embodied systems where sensing, control, computation, and learning meet in practical experiments.
Theme 03
Scientific machine learning and control
Combining physical structure, machine learning, and control-theoretic thinking for more reliable intelligent systems.
Research areas
Core themes and methodological strengths
Each block summarizes a research area with methodological emphasis and the kind of scholarly outputs it can support.
Research statement
From computational models to intelligent systems
My work investigates how simulation, learning, and control can be integrated to support more trustworthy and practically useful scientific and engineering systems.
I am especially interested in problems where purely empirical learning is not sufficient and where stronger performance emerges from combining domain structure, physical reasoning, and modern machine learning. This perspective informs both my research projects and my teaching philosophy.
Current priorities
Questions guiding the research
- How can simulation and data-driven learning reinforce each other?
- How can intelligent systems remain reliable in scientific and engineering settings?
- How can robotics experiments connect to principled control and learning?
- How can research outputs be communicated clearly to both experts and students?
Selected projects
See all projects →
Research systems, prototypes, and computational workflows
Selected publications
Open publication list →
Scholarly outputs and ongoing manuscripts
Research communication
Research notes, demonstrations, and technical teaching
Public-facing academic work matters. Alongside publications and projects, I use research notes, demos, and educational communication to document implementation choices, explain ideas clearly, and support student learning.
- Project demonstrations and research walkthroughs
- Technical notes and reproducible implementation details
- Student-oriented explanations of methods and systems
- Public scholarship that extends the impact of ongoing work
Teaching
Research-led classroom perspective
Teaching is framed as an extension of research: conceptually grounded, technically rigorous, and oriented toward independent student growth.
Mentorship
Project supervision and guidance
The site is structured so students can see pathways from fundamentals to research topics, implementation, and communication.
Academic identity
A coherent scholarly profile
Research, publications, teaching, and technical outreach are presented together so the full academic identity is easy to understand.
Ready to update
Replace the sample data with your real publications, projects, profiles, and CV to make this your full academic website.
Most of the site content can be updated from assets/js/site-data.js without redesigning the layout.