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.
GET TO KNOW MYCELIUM Mycelium is an eco-friendly, self-growing, and versatile material with significant potential in construction, packaging, and sustainable design. Its lightweight strength, fire resistance, and biodegradability make it a key player in the transition to circular economy solutions and biodegradable materials. However, moisture sensitivity and scalability remain challenges that require ongoing innovation and … Read more
Optoppen refers to the concept of adding prefabricated structures on top of existing rooftops to maximize space efficiently. Myy project focuses on addressing housing demand challenges by exploring lightweight housing extensions on existing buildings. My project focuses on addressing housing demand challenges by exploring lightweight housing extensions on existing buildings. Housing Shortage History Why are … Read more
AR/VR enhances the connection between architecture and clients by visualizing rooftop pod safety, insulation, and climate adaptability. It provides immersive experiences, making designs more tangible, understandable, and acceptable for real-world living solutions. AR/VR allows clients to explore how rooftop pods are made, the materials used, and required tools. It offers immersive mockups, enhancing understanding, trust, … Read more
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
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
Context How? Where? Workflow Outputs
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
