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.
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
Generating the Optimal Pavilion Design through Sunlight-Driven Evolutionary AlgorithmsLocation: Poblenou, Barcelona This project explores a generative design workflow applied to pavilion architecture in Poblenou, Barcelona, where sunlight is a critical environmental factor. Using evolutionary algorithms, we generate an optimized pavilion form that responds to solar exposure, ventilation, and material efficiency. Inspired by the natural selection principle from John Holland’s genetic … 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
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; 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
Flood Resilience Toolbox: AI-Powered Solutions for a Sustainable Future Flooding is the most frequent and costly natural disaster worldwide, with annual damages exceeding €38 billion. By 2050, this figure could rise to $64 billion, impacting millions of lives. Coastal cities, particularly in Southeast Asia, are at high risk due to rapid urbanization, sinking land, and … 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
A Methodological Approach to Urban Growth and Hybrid Energy Systems in the Global South Why Global South ? Urbanization in the Global South is a defining trend of the 21st century, with over 90% of urban growth expected to occur in low- and middle-income countries by 2050. This rapid expansion has led to a surge … Read more
Optimising Modular Skyscrapper design through environmental and spatial intelligence
FLOOD RESILIENCE TOOLBOX FOR ADAPTIVE URBAN DESIGN IN COASTAL CITIES Flooding is the most frequent natural disaster worldwide. By the report from The OECD (Organization for Economic Co-operation and Development), floods cause more than 38 billion euro in damages worldwide per year. Due to climate change, floods are becoming more extreme and frequent. Coastal areas … Read more
