InFormed
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 :
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.
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 :
Abstract In response to the urgent need for rapid, climate-adaptive housing driven by the climate crisis and global migration, this research explores the architectural potential of combinatorial spatial assemblages. These systems, built through the aggregation of discrete components, offer emergent spatial qualities but are often driven by random or heuristic rules, making them difficult to … Read more
PlacePlate is an AI-driven platform that automates site selection for new restaurants using Barcelona as a case study. It integrates spatial, market, and property data, calculates cuisine-specific suitability and competition-adjusted scores, and suggests optimal neighborhoods. By matching business needs with demand and uncovering undervalued properties, it reduces risk, cuts selection time from months to days, … Read more
An algorithmic roadmap that converts self-organized settlement morphology into clean-energy action: the Energy-Morphology Index mines open roof- and density data, ranks each building’s readiness, and matches “Ready / Promising / Not-Ready” clusters to modular solar toolkits—turning self-organized settlements into engines of energy justice
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.
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
“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
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
Climate change has become one of the primary drivers of forced displacement around the world, giving rise to the phenomenon known as climate migration. Here are some examples of statistics in the last year, forcing people to move to other cities and countries. Some of the most relevant examples of this displacement, have been occurred … 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
This proposal addresses the challenges of real estate valuation and optimization for retail properties by leveraging advanced technological tools and tailored datasets. The project introduces a platform that integrates environmental, market, and demographic data to provide dynamic and data-driven insights for valuation and optimal property usage. The methodology incorporates machine learning, mapping, and regression analysis … Read more