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.


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

Go Passive

A web application that analyses an IFC building model and recommends passive cooling strategies for Mediterranean climates. Upload a building, place it on the map, set its orientation, and get a ranked set of design interventions backed by a knowledge graph and Claude AI. The tool helps architects explore the passive strategies of their building … Read more

Guided Comparative Assembly

A tangible table that shows a building’s cost, carbon and time while you design it Hardware III · Human in the Loop · Interactive Systems · 2025–2026 Every building starts with a handful of decisions made in the dark — material, method, footprint, height. They are committed first, before anyone consults the data, and they … Read more

SURROUND

Turning pollution data into planning decisions. TEAM: Martina Simoni , Rim Choufani, Rashi Desadla, Bhavana Priya B INTRODUCTION Kraków’s air quality problem isn’t abstract. It’s measurable, and it’s bad. Over six sessions, our team (Rim, Martina, Rashi, and Bhavana) used the CRISP-DM framework to ask a focused question: can urban form (building density, road networks, … Read more

From Image to Typology

A Computational Framework for Inferring Architectural Spatial Organization from Visual Input. Abstract: This thesis investigates whether Artificial Intelligence can infer a building’s internal spatial organization from its exterior image, using architectural typology as the mediating framework. Typology is treated here not as a stylistic category but as a relational, topological structure: a set of rules … Read more