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This 4-day hands-on workshop teaches participants to combine biodesign (biomimicry, living facades, green roofs, bio-based materials) with AI-driven building and city analytics to improve comfort, reduce energy use, and cut emissions—ending with a capstone that models and compares “business-as-usual” vs “AI + biodesign–optimised” futures from building to city scale.
This workshop aims to train participants to apply biodesign principles and AI-driven performance modelling to design and optimise climate-responsive buildings and sustainable urban systems from building to city scale.
Teach biodesign + climate-responsive architecture for sustainable buildings.
Frame and measure comfort, daylight, shading, energy, and emissions goals.
Build skills in building/urban data handling (occupancy, weather, IEQ).
Train basic AI/ML energy forecasting and performance analysis in Colab.
Introduce smart building controls and AI-driven optimisation with PV/BIPV integration.
Deliver a capstone linking building → district → city scenarios for decision-making.
Architecture, urban planning, and design students/professionals
Civil, environmental, energy, and sustainability engineers
Building performance/green building practitioners (HVAC, energy modelling, IEQ)
Smart city, GIS, and urban systems professionals
Data science/AI/ML learners interested in climate, buildings, and urban analytics
Policy, governance, and sustainability stakeholders working on resilient city solutions
12/29/2025
IST
12/29/2025 – 01/01/2026
IST 5:30 PM
Translate biodesign ideas into measurable building performance goals.
Use building + environmental data (occupancy, weather, IEQ) for analysis.
Build basic AI/ML energy forecasting models in Colab.
Apply AI-based optimisation for HVAC/lighting and integrate PV/BIPV + storage concepts.
Deliver a capstone comparing “business-as-usual” vs AI + biodesign–optimised futures from building → district → city.
₹2499 | $70
₹3499 | $80
₹4499 | $90
₹6499 | $110
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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