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.
An Intelligent, Shape-Shifting Sound Control System 01 | Project Abstract Acoustic Skin is an acoustic panel that morphs its surface geometry in real time to control the way sound interacts with the environment. It uses an array of miniature pistons embedded in a felt-covered membrane, behaving like a living, breathing skin that adapts its texture … Read more
This project showed how real-time, intelligent control can transform buildings into more comfortable and efficient spaces. By replacing static systems with adaptive regulation, we can reduce energy waste while creating healthier, more responsive environments for the people who use them. Concept Modern indoor spaces often fall short of providing true comfort and efficiency because they … Read more
This project showed how real-time, intelligent control can transform buildings into more comfortable and efficient spaces. By replacing static systems with adaptive regulation, we can reduce energy waste while creating healthier, more responsive environments for the people who use them. Concept Modern indoor spaces often fall short of providing true comfort and efficiency because they … Read more
01 | Concept 02 | Resonance 03 | Prototype 04 | Components 05 | Circuit diagram If the temperature inside the pavilion is high or the noise level outside is high, both panels will close automatically using the servo motors. Below is how this logic connects to your architecture layers and the circuit design: 06 … 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
In response to the increasing global population of visually impaired individuals, projected to reach 18.5% by 2050, our project focuses on enhancing the accessibility of architectural spaces, particularly in primary healthcare centers. We have developed the Building Analysis Tool (BAT), an solution designed to assist architects in creating environments that cater to the needs of … Read more
The work presented in this blog post explores how UX and UI tools can be used to create a more accesible and interactive platform to this research group’s main project in the Research Studio class. By using tools like Figma and programming in HTML, CSS and JAVA, we try to apply the learnings into AI … Read more
The first three exercises focused on designing and coding a landing page, visualizing geospatial data on Mapbox, and creating an interactive 3D experience with Three.js, each progressively building skills in design, data integration, and interactivity to address real-world challenges. ⠀ SeisNAV – User interfaces This project involved designing user interfaces for SeisNAV with a focus … Read more
Abstract The project explores innovative ways to address Barcelona’s sustainability challenges, such as carbon emissions, air pollution, and energy inefficiency.By leveraging AI, IoT sensors, and Nature-Based Solutions (NBS), the project aims to optimize municipal budgets for interventions that transform underutilized urban spaces into productive assets. The study highlights solutions like urban farming, greenery, and solar catchment systems, evaluated … Read more
Our project tackles the challenges of sustainability, inclusiveness, and aesthetics in the built environment through a platform inspired by the European Bauhaus initiative (NEB). With an annual funding pool of €120 million, this initiative motivates us, as designers, to create environmentally responsible and socially inclusive designs. Our platform bridges the gap between complex NEB guidelines … Read more
Abstract: Natural disasters, especially earthquakes, often leave roads blocked, buildings collapsed, and maps outdated, making navigation and response efforts highly challenging, That’s where we operate. Our project SeisNAV is an AI-powered platform that combines satellite imagery and computer vision to detect collapsed structures and road blockages, providing real-time mapping and navigation tools for disaster response … Read more
Abstract In response to the increasing global population of visually impaired individuals, projected to reach 18.5% by 2050, our project focuses on enhancing the accessibility of architectural spaces, particularly in primary healthcare centers. We have developed the Building Analysis Tool (BAT), an solution designed to assist architects in creating environments that cater to the needs … Read more
Abstract The project explores innovative ways to address Barcelona’s sustainability challenges, such as carbon emissions, air pollution, and energy inefficiency. By leveraging AI, IoT sensors, and Nature-Based Solutions (NBS), the project aims to optimize municipal budgets for interventions that transform underutilized urban spaces into productive assets. The study highlights solutions like urban farming, greenery, and … Read more
Microcontrollers This project focuses on creating an automated door system designed to enhance accessibility, particularly in healthcare environments such as hospitals and clinics. Using an ultrasound sensor to detect distance, the system provides auditory guidance and ensures safe and efficient door operation for users, including those with visual impairments. The system is programmed to announce … Read more
Abstract:Our research explores how data-driven digital tools can optimize emergency response times using geospatial analysis and computational simulation methods. Focusing on Kadikoy district in Istanbul, we simulated ambulance routes from stations to emergencies to emergency rooms, using distance as a proxy for response time. Our study analyzed two scenarios: i) the current infrastructure; ii) identifying … Read more
