Learning the Invisible
Where Mathematics Becomes Motion.
Make turbulent urban airflow, neural operators and real-time prediction tangible to an international research audience.
- FTL role
- Research communication, course design, practical teaching and simulation demonstration
- Domain
- Mobility & Physical AI · Science & Simulation · Universities & Institutions
- Format
- Course · Workshop · Talk · Simulation
- Credits
- Delivered through MUC.DAI at the CIMPA Summer School at Tribhuvan University, with a subsequent conference presentation in Dhulikhel.
Context
Early-career researchers progressed from fluid dynamics to the Fourier Neural Operator through lectures and practical Python sessions.
Creative vision
Move from mathematical theory to an aviation experience where pilots can feel building-induced turbulence in real time.
Challenge & constraints
Specialist research had to become clear and practical without flattening its physical or mathematical depth.
What was made
A research course, practical sessions and a conference demonstration.
What was built
A learning pathway connecting fluid dynamics, model architecture, prediction and high-fidelity helicopter simulation.
Experience / System
The outcome and the infrastructure remain part of the same project truth.
What people see and feel
Invisible becomes tangible
Participants connect equations and code to wind fields that can be experienced inside a simulator.
Direction remains visible at every stage.
Human responsibility
- Frame the scientific narrative
- Teach and mentor
- Interpret model limits
- Connect prediction to aviation context
Technical responsibility
- Neural-operator modeling
- Wind-field prediction
- Simulation integration
- Practical Python environment
Research methods and simulation behavior remain explicit; AI complements established simulation rather than replacing it.
Delivered as an international summer-school course and conference presentation.
A method for translating specialist AI research into workshops, visual narratives and experiential demonstrations.
Complex technology becomes memorable when its abstract behavior is connected to an experience people can reason about and feel.
Claims carry their context.
Participants worked through the research method and its practical aviation application in the teaching environment.
Apply the same translation layer to other physical-AI and simulation contexts.
Continue through the system.
Beyond Note-Taking
Spoken Knowledge, Made Visible.
Experience
The Craft of the Future
Where Ideas Become Systems.
Experience
KI-Werkstatt
Knowledge Becomes an Experience.
Experience