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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. Demo :
During the second year of the Master in Advanced Architecture + Thesis Project (MAA02), students have the unique opportunity to work for a period of 1 year on an Individual Thesis Project, focused on the development of a research or pilot project based on the student’s interest, and the learnings of the first year. IAAC supports the student in selecting their Thesis Project topic in order to better orient them according to their future career interests and opportunities. Each student, according to their specific topic, is assigned one or more Thesis Advisors that follow the development of the work throughout the year.
In parallel to the development of the Individual Thesis Project, the second year of the MAA02 offers a series of seminars enhancing the theoretical, practical and computational skills of the students.
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. Demo :
Bio-Receptive Interfaces is a performative multi-material clay-based system for indoor environments, integrating hydrogel vascularity to host an ecosystem of cryptogams and vascular plants. Fusing biological intelligence with embedded sensors and AI, it sustains a prolonged hydration cycle, purifies air, sequesters carbon, and reintroduces ecological presence into synthetic indoor worlds—transforming sealed spaces into living, responsive, multi-species … Read more
EcoNodes is an AI-driven urban planning platform designed to identify and prioritize the city’s most heat-stressed and impervious junctions for strategic green interventions. By combining satellite imagery, street view segmentation, and environmental datasets, EcoNodes highlights the urban nodes that lack vegetation, suffer from poor air flow, or trap excessive heat. The tool empowers planners to … Read more
Contexept is a Context-to-Conceptualization framework integrating Generative AI and Additive Manufacturing to produce facades for specified architectural contexts in upscaled construction scenarios
“What if you could speak your design ideas and watch them transform into complete parametric scripts in real-time?”
Introduction Urban traffic congestion is more than just an inconvenience—it’s a global challenge tied to pollution, stress, and wasted time. While cities are turning to AI-driven systems to ease the gridlock, the question remains: Do these technologies actually perform better than traditional methods?Flow – SIGHT is a comparative research project that investigates traffic systems across … Read more
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
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
Contemporary architecture often prioritizes humans at the expense of ecological balance, distancing us from nature and other species. This thesis envisions a future where buildings evolve into living, adaptive frameworks that foster interspecies mutualism. By integrating third-order cybernetics, machine learning, and AI, architecture can become a mindful mediator, enhancing relationships between humans and other species. … 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
Introduction Urban areas are increasingly becoming impermeable, exacerbating environmental challenges such as elevated temperatures, flooding, and pollution. EcoNodes is designed to empower policymakers with a sophisticated tool for dynamically assessing and adapting urban environments towards increased sustainability by pinpointing and prioritizing areas for green interventions. Impervious Surfaces and Urban Heat Islands Cities today face the … Read more
The Thesis explores the possibility of potential research experimentation developed to initiate a workflow incorporating novel tools of Generative AI with Fabrication possibility aiding to actualise the geometry from a visual image to real fabrication ” Presentation Website – https://phygital3d.framer.website/
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