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.
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
“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
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
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/
Learning from Yesterday, Live for Today, Hope for future, The important thing is not to stop questioning. Albert Einstein
Introduction: Transforming Urban Junctions for a Sustainable Future Urbanization has drastically increased impervious surfaces in cities, leading to environmental challenges such as urban heat islands, stormwater runoff, and reduced access to green spaces. Junctions and intersections, often overlooked, are some of the most impervious and environmentally stressed areas in urban landscapes. This project aims to … Read more
The research envisions to develop work on the existing artificial intelligence models inclined for development of images through prompts and related tools to generate images which can be further leveraged into 3D translation of geometry to offer an aid for designers and creatives to develop their concept
