The MAA is a visionary master program with an innovative and open structure, mixing diverse disciplines, shaping professionals capable of producing theoretical & practical solutions towards responsive cities, architecture & technology.
Contexept is a design-to-fabrication workflow that uses AI to generate context-aware façade designs and turn them into 3D-printable architectural modules. By combining semantic keyword clustering, image generation, and robotic clay printing, the system transforms abstract ideas into buildable, site-sensitive forms. It bridges digital creativity with physical construction, making AI a meaningful collaborator in architecture. Architecture … Read more
A Methodological Approach to Urban Morphology and Hybrid Energy Systems in the Global South Project Statement: “Even as we advance in Energy Innovation, our cities continueto grapple with deep inequalities. In this research, I proposerethinking Urban Morphology—not merely as the physicalform of our settlements, but as a strategic lever for equitableenergy solutions. The conceptual Energy-Morphology … Read more
Industrial team dedicated to rethinking how we approach urban farming, renewable energy, and multifunctional infrastructure, is leading the charge. Their integrated workflow uses parametric modeling, automated data exchange, and business intelligence (Power BI dashboard) to optimize space usage and resource allocation in urban environments. In this post, we dive into a series of visuals that … Read more
Manual floorplan generation for high-rise residential buildings is labor-intensive and often overlooks key environmental parameters, limiting the ability to quickly assess performance-based design alternatives.
Context How? Where? Workflow Outputs
Abstract Parametric design tools like Grasshopper empower architects to create adaptive and efficient spatial layouts, but their complexity presents a barrier for non-experts. This research proposes a community-driven design tool that leverages Graph Neural Networks (GNNs) and Large Language Models (LLMs) to learn from expert-authored Grasshopper scripts, enabling prompt-based parametric layout design. By encoding design … Read more
ABSTRACT; Decoding Urban Mobility: This project evaluates the impact of AI-driven traffic management versus conventional fixed-timing methods on urban congestion. It analyzes real-time and historical data—including traffic patterns, weather, demographics, and incident reports—from cities like London, Barcelona, and Los Angeles and compares machine learning models (e.g., LSTM, GRU, XGBoost) with traditional techniques. The study identifies … Read more
In different metropolitans all around the world finding suitable flat with properties you wish, is one of the most challenging tasks you may have ahead of you.what we suggest and develop in this course is visualizing a platform where you can talk to an LLM and eases this challenging process by visualizing the results. Bellow … Read more
CBDM 25 A configurable application that generates simple rectangular architectural mass while simultaneously providing regional economic and climate insights for a chosen country/city from the top 50 cities around the world. The tool allows users to adjust base dimensions, total building height, and per-floor height, then quickly see how costs, climate data, and massing possibilities … Read more
Reimagining a Human Settlement on the Red Planet Envisioning a self-sustained colony on Mars, our primary focus is on revolutionizing transportation within the red planet. Sustainability is our guiding principle as we design an efficient transportation system that seamlessly connects habitats across various clusters. Incorporating Tensegrity moving parts, Inflatable lightweight structures, and a Hexagonal Grid framework, our approach embraces a Kit-Of-Part methodology. Following … Read more
Envisioning a self-sustained colony on Mars, our primary focus is on revolutionizing transportation within the red planet. Sustainability is our guiding principle as we design an efficient transportation system that seamlessly connects habitats across various clusters. Incorporating Tensegrity moving parts, Inflatable lightweight structures, and a Hexagonal Grid framework, our approach embraces a Kit-Of-Part methodology. Following … Read more
Morph_Designer is a project that researches the potential of available building footprint morphological data, and how this can become a design-aid tool in architectural practices, aiming to give a new scope of data driven design that can be used globally. “Architecture and the city are mutually constitutive, each influencing and shaping the other in a … Read more
Group 5 How can apartment typologies be designed to create communities within buildings, addressing social exclusion and isolation caused by modernist architecture? Can reinforcement learning be used to optimize the distribution of public and private spaces, such as apartments, balconies, patios, and courtyards, to create sub-communities within the building.
