Mentor Based
AI & Biodesign for Sustainable Cities: Smart Buildings, Green Architecture & Urban Systems
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Program Syllabus
Module 1
About This Course
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.
Module 2
Aim
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.
Module 3
Workshop Objectives
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Teach biodesign + climate-responsive architecture for sustainable buildings.
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Frame and measure comfort, daylight, shading, energy, and emissions goals.
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Build skills in building/urban data handling (occupancy, weather, IEQ).
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Train basic AI/ML energy forecasting and performance analysis in Colab.
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Introduce smart building controls and AI-driven optimisation with PV/BIPV integration.
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Deliver a capstone linking building → district → city scenarios for decision-making.
Module 4
Workshop Structure
Module 5
📅 Day 1 – Biodesign & Climate-Responsive Architecture
- Biodesign Essentials: Biomimicry, green architecture, living facades, green roofs, vertical greenery.
- Climate-Adaptive & Bio-Based Materials: Responsive, regenerative, and bio-based materials for façades and envelopes.
- Performance Basics & Concept Framing: Thermal comfort, daylight, shading, energy-use basics; framing building performance problems.
- Hands-on: Simple concept exercise mapping biodesign ideas to performance objectives.
Module 6
📅 Day 2 – Data & AI Foundations for Building Performance
- Building Energy & Environment Data: Loads, occupancy, schedules, weather, indoor environmental quality indicators.
- AI/ML for Energy Forecasting: Time-series and ML models for predicting building energy consumption.
- Linking Materials, Form & Energy: How façade/material decisions influence model features and energy performance.
- Hands-on: Colab notebook for basic energy-consumption prediction on sample building data.
Module 7
📅 Day 3 – Smart Buildings, Automation & Renewables
- Smart Building Systems & Control: HVAC, lighting, sensors, BMS/BAS; comfort vs. efficiency trade-offs.
- AI-Driven Control & Optimisation: Using AI to optimise setpoints, schedules, and operational strategies.
- Rooftop PV & BIPV Integration: Coupling building demand with on-site renewables and storage; peak-shaving and emission reduction.
- Hands-on: Colab notebook for simple optimisation of HVAC + lighting + rooftop PV scenario.
Module 8
📅 Day 4 – AI for Smart Urban Systems & Capstone
- Smart Cities & Urban Planning with AI: Land-use, density, green/blue networks, and resource flows at district/city scale.
- City-Scale Energy, Mobility & Sustainability Indicators: Aggregating building data to district level; transit, EV charging, and sustainability metrics.
- Governance, Policy & Capstone Scenario: Decision-support dashboards; scenarios combining biodesign + smart buildings + urban systems.
- Hands-on Capstone: Multi-scale scenario (building → district → city) in Colab; compare “business-as-usual” vs “AI & biodesign–optimised” futures.
Module 9
Who Should Enrol?
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Architecture, urban planning, and design students/professionals
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Civil, environmental, energy, and sustainability engineers
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Building performance/green building practitioners (HVAC, energy modelling, IEQ)
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Smart city, GIS, and urban systems professionals
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Data science/AI/ML learners interested in climate, buildings, and urban analytics
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Policy, governance, and sustainability stakeholders working on resilient city solutions
Module 10
Important Dates
Module 11
Registration Ends
12/29/2025
IST
Module 12
Workshop Dates
12/29/2025 – 01/01/2026
IST 5:30 PM
Module 13
Workshop Outcomes
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Translate biodesign ideas into measurable building performance goals.
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Use building + environmental data (occupancy, weather, IEQ) for analysis.
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Build basic AI/ML energy forecasting models in Colab.
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Apply AI-based optimisation for HVAC/lighting and integrate PV/BIPV + storage concepts.
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Deliver a capstone comparing “business-as-usual” vs AI + biodesign–optimised futures from building → district → city.
Module 14
Fee Structure
Module 15
Student
₹2499 | $70
Module 16
Ph.D. Scholar / Researcher
₹3499 | $80
Module 17
Academician / Faculty
₹4499 | $90
Module 18
Industry Professional
₹6499 | $110
Module 19
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Module 20
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 21
Publication Opportunity
Get published in a prestigious open-access journal.
Module 22
Centre of Excellence
Become part of an elite research community.
Module 23
Networking & Learning
Connect with global researchers and mentors.
Module 24
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 25
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