About
Profile
Hyeon-Ho Yang
Postdoctoral Researcher, Department of Aerospace Engineering, KAIST.
Alongside aerospace research,
developing tools that connect engineering knowledge with AI-assisted work.
- Bird-Inspired Ornithopter
- Unsteady Aerodynamics
- Multi-Body Dynamics
- AI-Assisted Engineering
The Framework
Your AI-Native Ground
YANG is being developed as a personal framework for research, software, and everyday work. Project context, reusable tools, and AI assistance are brought together so work can be revisited and continued.
Research
Questions, Models, Interpretation
Software
Design, Development, Testing
Writing and Records
Ideas, Plans, Observations
- Sources
- Reusable Skills
- AI Assistance
- Project Records
A Shared Foundation, Independent Work
Each project needs its own methods and working space.
The shared foundation is designed to carry useful knowledge between them.
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Human Direction
Research, code, and writing remain under human direction and responsibility, from planning to review.
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Focused Assistance
AI assistance is used for defined tasks, with the results checked in each project's context.
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Shared Skills and Tools
Useful methods and tools are shared between projects, with their purpose and limits kept clear.
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Independent Project Spaces
Each project's code, assumptions, and working methods are kept together in its own space.
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Knowledge and Sources
Notes and explanations are linked to their sources, making them easier to check and revisit.
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Revisitable Work
Changes and decisions are recorded with their reasons, so work can be resumed or revised later.