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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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

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

Veil Of Timber

Veil of timber title

Veil of Timber explores the transformation of a parametric pavilion into a detailed, data-driven BIM system. By integrating computational design and metadata with the help of grasshopper and real-time visualisation using Speckle and Power BI. The project bridges geometry and data to enable querying, analysis, and informed decision-making. Overview The pavilion is a parametric system … Read more

Behavioral Investment in Urban Decision Making

PROBLEM: Current urban investment decisions, particularly in social housing, are largely based on financial feasibility studies, static socio-economic indicators, and ESG-style metrics that fail to capture how people actually experience and use space and often overlook real-time behavioral dynamics: how people move, engage with space, perceive safety, or interact socially. In dense metropolitan environments like … Read more

Urban Amenities Accessibility in Istanbul

How accessible is the city we live in? Beyond iconic landmarks and infrastructure, everyday life is shaped by small but essential places: schools, parks, shops, and services. Urban Amenities Accessibility in Istanbul is a computational design project that explores how these everyday amenities are distributed across Istanbul’s historical center and how easily they can be … Read more

Urban Healthcare

Cities are complex systems where accessibility to essential services—such as healthcare—can directly affect quality of life and emergency response outcomes. Traditional urban maps often show where services are located, but they rarely communicate how accessible these services are in real, everyday conditions. The This project explores how computational design tools can be used to analyze … Read more

Open to Sky

The aim of the project is to map the sky visibility in New York City as one walks from one public park to another with an added analysis layer of Heat Vulnerability Index (HVI)  to neighbourhoods. HVI is an index of the likelihood of someone from a neighbourhood to die due to excessive heat exposure, which … 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

Urban Vegetation Analysis Using Computer Vision and Deep Learning

(PaintDumpster/environmental_data_workshop at ndvi) – Link to GitHub This project aims to detect and classify different types of greenery in satellite imagery by utilizing color and edge detection techniques. The study area is located in Barcelona, Spain (41.396536, 2.194554). The stable version employs color and edge detection for image segmentation, while an alternative method integrates LiDAR … Read more

From Above the Acropolis: Satellite Analysis of Vegetation and Urban Heat in Athens

The project is situated in Athens, Greece, which overheats in the summer. We wanted to test a hypothesis: The overheating is the result of too much hardscaping (asphalt, concrete, brick) and not enough greenery. We wanted to compare the NDVI (a measure of greenery in a city) taken from Satellite images to Land Surface Temperature … Read more

GG WORLDS [v.01]

GenAI for Game Environment Creation OverviewUrban environments in games play a crucial role in crafting immersive, dynamic worlds that captivate players and enhance storytelling. These settings not only shape the game’s atmosphere but also introduce strategic challenges and reflect cultural, social, and architectural identities, making virtual spaces feel authentic. However, creating high-quality, realistic game environments … Read more