IAAC’s Master in AI for Architecture & the Built Environment is a unique program oriented towards leading the change in decarbonising human activities and crafting a more sustainable, resilient future urbanisation for our planet. Through an innovative curriculum deeply rooted in AI applications, the program pioneers novel AI-driven solutions that not only respond to the pressing challenges of our time but also set a new standard for environmentally and socially conscious co-design and planning. The Master in AI for Architecture & the Built Environment is training the professionals that city administrations, governments, industries, and communities need, to transform the built environment in the era of digital technologies.


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Curbside Intensification

Ertuğrul Akdemir MAAI · Master in AI for Architecture and Business Innovation 25/26 Advisor: Shajay Bhooshan An AI tool that reads how streets behave through the day and tests where the curb could change use, then shows how that change spreads across the city before anything is built. Streets are designed once and rarely questioned. The … Read more

Invest Through Behavior

Invest Through Behaviour reframes how capital decisions are made in social housing impact investment. Today, investment decisions rely on high-level financial and ESG indicators that assume impact rather than demonstrate it, and that obscure the real trade-offs between competing priorities. This project proposes a decision-support approach that treats neighbourhoods across London as a landscape of … Read more

Architecture Intelligence for AI Infrastructure

Toward an AI-Native Framework for Constraint-Orchestrated Data Center Architecture Developed through the working prototype OREXON SYSTEMS. ·  Nouhaila ELMALOULI   ·   Master in AI for Architecture & Business Innovation (MAAI02), IAAC · 2025/2026   ·   Advisor: Dr. Wassim Jabi Data centers are the physical substrate of artificial intelligence. Every model we train and every query we run … Read more

Motion Pixels

Mapping out Spatial Intelligence Program: Master in AI for Architecture and the Built Environment (MaAI)Supervisor: Wassim Jabi Motion Pixels is a research project that explores how pedestrian movement can be transformed into spatial intelligence. By combining computer vision, trajectory analysis, behavioral mapping, and machine learning, the project converts video recordings of public spaces into spatial … Read more

Reclaiming the streets

In contemporary urban planning, we often focus on the best parts of a city. However, true transformation begins by identifying the most vulnerable areas. We have recently developed a parametric model in Grasshopper to analyse the Gràcia District in Barcelona, utilizing a worst-case scenario routing logic to pinpoint exactly where new Green Axes should be … Read more

Human Trace: Autonomous Single-Stroke Robotic Sketching

This project explores a robotic system that translates digital vision into physical matter through the constraint of continuity. Rather than behaving like a conventional plotter that freely lifts and re-positions its pen, the system confronts a more complex challenge: it must interpret image topology and compute a path that allows the entire drawing to be … Read more

URBAN-Ai: AI based forecasting platform that predicts evolution of urban density and land-use.

The growth of cities on an urban level has been very random and often scattered due to several reasons, like; UNDPREDICTABLE URBAN GROWTH, DYNAMIC ZONING TRENDS and SHIFTING DEMANDS. This has led to the cities being have to be planned reactively rather than proactively. This has led to a problem of cities being inefficient, rising … Read more

CINEFLOW : An AI-Powered Cinematic Walkthrough for Architectural Design

Automating Architectural Visualization: A Journey Through Technical Pivots and AI Evolution Introduction In the rapidly evolving landscape of architectural visualization, the gap between conceptual design and compelling visual presentation remains a significant challenge. While architects and designers excel at creating innovative spaces, transforming these 3D models into cinematic walkthroughs typically requires specialized skills, expensive software, … Read more

GG WORLDS Blender Plug-in Prototype

GG WORLDS: A Blender plugin that enables users to instantly generate and customize 3D environments from text prompts, using generative AI to save time, cost, and boost creative freedom. Physical Prototype: Our prototype demonstrates an interactive workflow where users arrange physical maps and landmarks, then use a tablet AR app to instantly visualize and modify … Read more

Interactive Block-Based Structural Generation and Analysis Tool

In contemporary architectural practice, the gap between conceptual design and structural analysis often leads to delays, miscommunication, and inefficient iteration cycles. This project proposes an integrated workflow that bridges this divide by creating an interactive interface where architects can receive real-time structural feedback while scanning their preliminary physical model. By combining Unity-based visualization, QR code-enabled … Read more