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.
Cloud Based Remote Sensing, Optimization and Agent Based Simulation Floods that were once rare are now happening more often. In Valencia, Spain, a flood expected only once every 500 to 1,000 years has happened three times in the last few decades, with the most recent in October 2024 killing over 230 people and causing €16 … Read more
Abstract: For the class of Interactive Interfaces with professor Daniil Koshelyuk we got introduced to the Unity game engine, a powerful software to create all kinds of 3D applications and environments. For our group, we decided to create an app that would be the continuation of our Research Studio project: Adapt AI. A project where … Read more
Introduction: From Words to Worlds Game design is one of the most creative fields in digital media today but for most developers, turning ideas into immersive worlds remains slow, expensive, and overwhelming. Especially for independent creators, level design, the art of shaping the physical and emotional journey of a player, is often the most demanding … Read more
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
This project proposes a structural prediction tool tailored for the early stages of architectural design. Its goal is to provide architects with a structural assistant that offers meaningful insights, enabling them to make more informed decisions and, in turn, support their creative process from the outset. DEMO As part of the course, a website was … Read more
(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
This project focuses on Evia, Greece, where devastating wildfires in the summers of 2021 and 2023 caused massive environmental damage. This is only an example, but this pipeline could be applied to any wild-fire affected area. Our aim is to quantify green loss and monitor post-fire ecosystem recovery. Thus we compare satellite imagery from key … Read more
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
The goal of this project is to compare between the economic stability of an agriculture first city. Hamburg’s agricultural wealth is largely connected to its surrounding regions—particularly Schleswig-Holstein and Lower Saxony, which are among Germany’s leading food producers. Consequently, we focused on peripheral areas of the city that have recently transitioned into agricultural land, allowing … Read more
Tracking Morphological Evolution Over Time Urbanization and Vegetation Change Analysis Using Satellite Data Introduction Satellite imagery provides a powerful view of Earth’s surface, but to the naked eye, changes like urban growth and vegetation loss are not always obvious over time.Colors and features can look deceptively similar, making it difficult to accurately assess land cover … Read more
When torrential rain dumped an entire year’s worth of water on Valencia in barely eight hours on 29 October 2024, the Turia spilled over its banks, submerging citrus groves, highways and whole neighbourhoods. More than 200 lives were lost, hundreds remained missing and Spain faced its worst flood disaster in recent history. Events like this … Read more
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
AI for Robotic Fabrication Real-time control in fabrication spaces is essential for enhancing operational efficiency, minimizing risks, and ensuring worker safety. In dynamic manufacturing environments, accurately locating and tracking elements—such as machinery, tools, materials, and personnel—can drastically reduce accidents, optimize workflows, and streamline resource management. Through this project, we aim to integrate advanced sensing technologies, … Read more
Can an AI agent learn how to carve a shape — not by following a predefined path, but by figuring it out on its own? https://github.com/IaaC/AI_Robotics_Octopus.git Inspired by the precision of traditional craftsmanship, especially techniques like Japanese joinery where every cut matters, we wanted to see if a machine could learn that same logic in … Read more
https://github.com/PaintDumpster/ai_for_robotic_fabrication.git In the field of robotic fabrication, precision is everything! Yet there’s often a significant gap between a simulated toolpath and the real-world movement of a robotic arm. Subtle discrepancies can lead to printing errors, structural issues, or failed prototypes. We explored how AI can be used to minimize this gap. This investigation sits at … Read more
In pick-and-place robotics, a robotic arm must move from a start position to a target location (e.g., to pick or place an object) while safely navigating around obstacles. These obstacles may vary in size, severity, or risk — requiring the robot to adapt its path based on the workspace condition. This project simulates the core … Read more
