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.
Enso Hyperbuilding – Residential
Algorithm Aided Design Design Concept Urban density Over the centuries, Tokyo has evolved into a sprawling megacity, blending its historical roots with modern advancements to address the challenges of space and density. Clusterization The 15-minute city is an urban planning concept that aims to create neighborhoods where most daily needs are within a 15-minute walk … Read more
Directional strength
This research explores the optimization of glulam in architectural design by aligning material grading and grain orientation with force trajectories. Combining glulam offcuts and higher-grade timber, the study minimizes waste while maximizing structural efficiency. Computational workflows and generative algorithms are used to design force-aligned components for scalable applications. Prototypes demonstrate enhanced performance and sustainability, offering … Read more
Wildlife Integrating Landscape Design Artificial Intelligence – WILD.AI — Term_II
Context How? Where? Workflow Outputs
FLOOR 0
“Floor Zero” is a new methodology for evaluating and optimizing retail property investments. Instead of simply comparing one property’s data to another’s, it looks at how each factor influences overall value for different property types based on the price tag people put on those factor. A concept inspired by the Moneyball approach, where a team … Read more
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
EcoNodes
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
Neo-textura A metamorphosis From textile waste to modular furnishing systems Neo-Textura is a thesis project that explores the transformation of textile waste into modular furnishing systems in collaboration with industrial companies. This way it is addressing the massive issues of textile waste accumulation. The project takes advantage of the self-binding process of cellulose to create … Read more
GENERATIVE AI – TIMBER PHYGITAL
This thesis explores the use of generative AI to transform 2D image prompts into fabricatable 3D pavilion designs using timber sheet-based CNC milling. By developing a workflow from AI-driven image generation to mesh segmentation and fabrication detailing, the research aims to bridge the gap between conceptual design and physical realization. The outcome is a phygital … Read more
