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.
Go With The Flow
Computational Fluid Dynamics for Natural Ventilated Systems primarily located within the United States The Problem within Context: Sears Catalogue from 1930s to 1950s United States. The American Dream is a phrase that has taken meaning in the ownership of a home with a white picket fence. The phrase was popularized in the 1930s after WWI … Read more
Urban Matrix
Abstract Our project, addresses the need for Productive Justice for Self-Sufficiency in Mesquita, a municipality in Rio de Janeiro marked by socio-economic challenges such as food insecurity, water scarcity, infrastructure deficiencies, and a strong dependence on government subsidies. Our strategy transforms residual urban spaces-abandoned plots, unused corners, canal edges-into a Productive Web of interconnected hubs … Read more
AQUA.NEST
AQUA.NEST: An AI-Powered Decision Support Toolbox for Adaptive Urban Design Using Nature-Based Solutions in Flood-Exposed Coastal Cities Coastal urban flooding is emerging as one of the most urgent climate challenges of our time. Without strong adaptation, annual flood damages could reach €930 billion globally by 2050, even with improved infrastructure (OECD, 2020). Rising sea levels and … Read more
HOSTILE
Architectural Alienation In a world that is rapidly urbanizing itself, architecture holds immense power to shape the lives of individuals and how they experience the public space. Yet, architectural design often neglects the various needs of the community it is supposed to serve, leading to alienation and exclusion, particularly for marginalized populations. – 1.1.Hostile design … Read more
EMI: Engine for Morphological Integration Vol II
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
Re Rio: Infrastructure Justice
What is Infrastructure Justice? Rio’s Context State of the Art Rio Maps Sao Goncalo Proposal Thank you!
Collaborative Workflow: Hyper B – Facade Team (carbon footprint library)
ROLE FINAL INPUTS AND OUTPUTS TEAM ROLES AND COMMUNICATION STREAMS COMMUNICATION COLLABORATION REFLECTIONS CARBON FOOTPRINT OBJECTS TRACKER APP We imagined a smarter way to design façades—one that doesn’t just generate new materials but maximizes the potential of what already exists. That’s why we developed a custom parametric tool that helps architects and designers track, organize, … Read more
SecondMatter
SecondMatter challenges architecture’s extractive processes and wasteful material cycles by upcycling Construction Demolition Renovation Waste (CDRW) into structural and non-structural applications. It blends ramming, which compacts granular materials into high-strength forms, with jamming-inspired interlocking of irregular aggregates. Large concrete waste pieces form a reinforced core, wrapped in a rammed mix of fine brick and concrete … Read more
InFormed.
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.
Wildlife Integrating Landscape Design Artificial Intelligence – WILD.AI — Term_II
Context How? Where? Workflow Outputs
DESIGN FLEX- PHASE- II
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
DECODING URBAN MOBILITY
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
