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# Big Data

Genetic Optimization,Generating the Optimal Building Design

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MAA-01 2024-2025

Generating the Optimal Pavilion Design through Sunlight-Driven Evolutionary AlgorithmsLocation: Poblenou, Barcelona This project explores a generative design workflow applied to pavilion architecture in Poblenou, Barcelona, where sunlight is a critical environmental factor. Using evolutionary algorithms, we generate an optimized pavilion form that responds to solar exposure, ventilation, and material efficiency. Inspired by the natural selection principle from John Holland’s genetic … Read more

Urban Vegetation Analysis Using Computer Vision and Deep Learning

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MaAI 2024-2025

(PaintDumpster/environmental_data_workshop at ndvi) – Link to GitHub This project aims to detect and classify different types of greenery in satellite imagery by utilizing color and edge detection techniques. The study area is located in Barcelona, Spain (41.396536, 2.194554). The stable version employs color and edge detection for image segmentation, while an alternative method integrates LiDAR … Read more

Urban Layers

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MaAI 2024-2025

Tracking Morphological Evolution Over Time Urbanization and Vegetation Change Analysis Using Satellite Data Introduction Satellite imagery provides a powerful view of Earth’s surface, but to the naked eye, changes like urban growth and vegetation loss are not always obvious over time.Colors and features can look deceptively similar, making it difficult to accurately assess land cover … Read more

Software III _ UN_LOG FACTORY

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MRAC-01 2024-2025

Github : https://github.com/Clarrainl/UN_LOG-Factory | INTRODUCTION | Detecting wood defects in 3D-scanned logs using Machine Learning In the timber industry, a significant portion of wood gets discarded due to irregularities or defects that make it unusable under standard practices. However, many of these logs can still be used creatively or structurally if properly understood and classified. This project … Read more

URBAN MORPHOLOGY + INFRASTRUCTURE

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MaCT-01 2024-2025

Petrópolis: Analysis & Strategic Responses for Flood-Vulnerable Contexts 1.1. History of the city Summary – 1.1. History of the City Petrópolis initially developed in valleys and along riverbeds, where construction was easier, but this laid the groundwork for future vulnerabilities. Located within the Atlantic Forest Biome, only 12.4% of its original forest remains due to … Read more

TOWARDS ENERGY JUSTICE IN INFORMAL SETTLEMENTS Vol II

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MAA-02 2024-2025

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

HYPER A | STRUCTURE

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MaCAD 2024-2025

In the ever-evolving world of architecture, Hyper A is an exploration into the limits—and freedoms—of structural design. We, the Structure Team, consisting of Joaquin Broquedis and myself, Marco Durand, are excited to present the structural concept that supports not just a building, but a multi-neighborhood urban vision. This blog offers a deeper look into our … Read more

TerraWeave: Startup Pitch

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MRAC-01 2024-2025
TerraWeave

The Problem The built environment is responsible for 42% of annual global CO₂ emissions. Within this, building operations and construction alone contribute nearly one-third. Yet, current construction methods lack flexibility, efficient resource use, and environmentally friendly solutions. This is the context that drove our project. Terraweave Solution  TerraWeave integrates robotics, wattle and daub construction and … Read more

Cesium: Visualizing the World in Unity

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MaCT-02 2024-2025

Creating a Visual Medium for the Visualization of Urban Data Using Cesium in Unity Engine for Geospatial VisualizationCesium for Unity bridges 3D geospatial data with Unity’s real-time development environment, enabling developers to create immersive, real-world simulations and applications. By integrating high-accuracy global datasets, 3D Tiles, and dynamic data feeds, it provides a robust framework for … Read more

Urbanism Around Landslides: A Remote Sensing Approach

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MaCT-02 2024-2025

The Landscape of Risk India has witnessed 3782 major landslides between 2015–2022.Regions like Himachal Pradesh, Uttarakhand, Kerala, and the North-East are especially vulnerable. Landslides disrupt cities, block roads, damage homes — and in some cases, like Wayanad in 2024, result in loss of lives and millions in damages. The Research Question How can remote sensing … Read more

VISUALISING VISIBILITY OF WOMEN+ SAFETY

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MaCT-02 2024-2025

Overview Visualizing Visibility of Women+ Safety is a research initiative aimed at evaluating how the design of public spaces influences perceptions of safety for women+ in India, particularly in Delhi. The central question driving this study is: “How can we assess the current paradigms of urban design to better understand and improve perceptions of safety … Read more

Democratizing Credit: Diving Deeper

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MaCT-02 2024-2025
City

Diving deeper into building a reliable rating algorithm The Importance & Significance of the F&B establishments in the City Food and Beverage (F&B) service outlets are significant indicators of urban progress as they reflect evolving consumer preferences, economic vitality, and the integration of social spaces within urban landscapes. These establishments act as hubs for community … Read more

Hyperbuilding A – Data Team

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MaCAD 2024-2025

Introduction As the Data Team, we didn’t produce any geometry. Instead, we focused on creating a data infrastructure that enhances collaboration between all design teams. Our primary goal was to streamline information flow, validate data integrity, and provide meaningful metrics that inform the design process. The Birth of our Holistic Approach One of the tacit … Read more

InFormed.

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MAA-02 2024-2025

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.