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
SecondMatter challenges architecture’s extractive processes and wasteful material cycles by upcycling Construction Demolition Renovation Waste (CDRW) into structural and non-structural applications. It blends ramming, which compacts granular materials into high-strength forms, with jamming-inspired interlocking of irregular aggregates. Large concrete waste pieces form a reinforced core, wrapped in a rammed mix of fine brick and concrete … Read more
Contemporary architecture often prioritizes humans at the expense of ecological balance, distancing us from nature and other species. This thesis envisions a future where buildings evolve into living, adaptive frameworks that foster interspecies mutualism. By integrating third-order cybernetics, machine learning, and AI, architecture can become a mindful mediator, enhancing relationships between humans and other species. … 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.
https://github.com/PaintDumpster/ai_for_robotic_fabrication.git In the field of robotic fabrication, precision is everything! Yet there’s often a significant gap between a simulated toolpath and the real-world movement of a robotic arm. Subtle discrepancies can lead to printing errors, structural issues, or failed prototypes. We explored how AI can be used to minimize this gap. This investigation sits at … Read more
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
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
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
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
Brief Heritage Building Information Modeling (HBIM) is a process for managing and conserving historical structures. Despite its potential and the European Directive 2014/24/EU, HBIM remains underutilized due to complex processes. AI-based technology can streamline HBIM processes at reduced costs, making heritage conservation more feasible. Technologies like LIDAR, TLS, photogrammetry (including UAVs), and SLAM, initially tested … Read more
Abstract In this interview of the BIM Theory Podcast, we sit down with Altaf Ganihar, founder and CEO of Snaptrude, to explore how a simple hobby project evolved into a cutting-edge cloud-based design tool. Starting as a SketchUp plugin, Snaptrude has grown into a platform that integrates AI, automation, and BIM to streamline workflows and … Read more
Introduction In this episode of the MaCAD Theory podcast, we explore with our guest Mr. Alessandro Grossi the growing importance of sustainable practices in the AEC sector, driven by climate change and resource scarcity. We dive into how integrating sustainability principles early in the design process can impact lifecycle costs and environmental outcomes.Listen to how … Read more
As part of a collaborative exploration into creative automation and human-AI interaction, our team developed an AI-powered weather assistant that integrates live data, generative visuals, and contextual language processing into a single, responsive system. The assistant operates via a Telegram bot and delivers three core outputs: current weather information, clothing recommendations, and an AI-generated image … Read more
