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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.
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.
Context How? Where? Workflow Outputs
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
Flood Resilience Toolbox: AI-Powered Solutions for a Sustainable Future Flooding is the most frequent and costly natural disaster worldwide, with annual damages exceeding €38 billion. By 2050, this figure could rise to $64 billion, impacting millions of lives. Coastal cities, particularly in Southeast Asia, are at high risk due to rapid urbanization, sinking land, and … Read more
Digital Transformation of Discarded Logs for Structural and Design Applications Re_Shape is a design and innovation project that addresses a major blind spot in the forestry industry: the waste of tree trunks that are curved, bifurcated, or otherwise irregular and therefore excluded from traditional processing systems. These logs are typically downgraded into low-value products like … Read more
Hyper-B Residential team went through design concept, technical analyses, and integrated modeling process to create a detailed architectural documentation of four residential towers. In addition, the project covers various aspects including energy consumption, occupancy, and modular unit types. We approached this project with a goal that incorporates sustainable energy practices and efficient space planning with … Read more
Introduction: Understanding Besòs Beyond the Surface The El Besòs i el Maresme area in Barcelona carries a complex history—one shaped by migration, exclusion, and resilience. Often perceived through the lenses of insecurity and economic struggle, the neighborhood is in fact a vibrant intersection of identities, cultures, and urban transformations. Layers of Besòs is a research-driven … Read more
A speculative approach to Design through data, literature, and participatory AI in Sant Antoni Our urban issue: The Lack of Narrative-Driven Urban Design in a Data-Driven City Contemporary urban design increasingly relies on AI and big data, often sidelining human stories, cultural narratives, and historical context in shaping urban spaces. While data-driven design optimizes efficiency, … Read more
Introduction The Data team’s role in the Hyper A project is to calculate the performance metrics of each Design Team. Each Design Team provides the Data Team the component values for needed to calculate their metrics. These component values are cumulative for their entirety of their design. For example, the Industrial Team’s Primary Metric is … Read more
Designing an Inclusive and Functional Bench Through the Lens of Iconic Visionaries Urban design has always required balancing complex social, cultural, and environmental factors. In this project, we explored the potential of AI in shaping public spaces. Specifically, designing a bench that serves the needs of both homeless individuals and daily users. We developed a … Read more
What defines a mixed-use space? How do we visually recognise the coexistence of residential, commercial, and public spaces in a city? Can AI perceive these complex urban conditions as we do? This workshop explores how Visual Language Models (VLMs) interact with urban imagery, using street view images to assess land-use patterns. By comparing Barcelona and … Read more
Introduction In the face of increasing climate-related disasters, accurate and efficient scanning methods are essential for assessing structural integrity. Our team developed a robotic scanning solution that utilizes LiDAR-based Husky A200 and drone photogrammetry to detect roof anomalies, such as holes and structural weaknesses.This study explores different scanning methodologies and evaluates their effectiveness in detecting … Read more
Github : https://github.com/j-albo/scanning-wood-waste INTRODUCTION Currently, only 15% of wood waste is recycled globally, while up to 60% of felled trees remain unused. Many irregular pieces that do not meet industrial standards are discarded without leveraging their structural and aesthetic potential. Our goal is to rethink these waste materials through scanning, analysis, and digital transformation, converting them into … Read more