The Algorithmic Design I Thesis Cluster is an advanced course that delves into the innovative convergence of artificial intelligence, computational design, and architecture. The cluster aims to revolutionise architectural design by harnessing cutting-edge technologies to create adaptive, resilient, and efficient workflows within the Architecture, Engineering, and Construction (AEC) industry.
This cluster aims to push the boundaries of what’s possible in architecture, blending cutting-edge technology with design innovation to shape the adaptive and inspiring spaces of tomorrow.
EcoNodes is an AI-driven urban planning platform designed to identify and prioritize the city’s most heat-stressed and impervious junctions for strategic green interventions. By combining satellite imagery, street view segmentation, and environmental datasets, EcoNodes highlights the urban nodes that lack vegetation, suffer from poor air flow, or trap excessive heat. The tool empowers planners to … Read more
“What if you could speak your design ideas and watch them transform into complete parametric scripts in real-time?”
Introduction Urban traffic congestion is more than just an inconvenience—it’s a global challenge tied to pollution, stress, and wasted time. While cities are turning to AI-driven systems to ease the gridlock, the question remains: Do these technologies actually perform better than traditional methods?Flow – SIGHT is a comparative research project that investigates traffic systems across … Read more
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
The Thesis explores the possibility of potential research experimentation developed to initiate a workflow incorporating novel tools of Generative AI with Fabrication possibility aiding to actualise the geometry from a visual image to real fabrication ” Presentation Website – https://phygital3d.framer.website/
Learning from Yesterday, Live for Today, Hope for future, The important thing is not to stop questioning. Albert Einstein
Automated Fire compliance assessment tool Fire safety in buildings isn’t just about alarms and sprinklers—it’s about designing spaces that prevent tragedies before they happen. Imagine if architects could assess the fire safety of their designs with just a click, ensuring compliance with global standards during the early stages of construction. Sounds futuristic? Not anymore. In … Read more
Introduction: Transforming Urban Junctions for a Sustainable Future Urbanization has drastically increased impervious surfaces in cities, leading to environmental challenges such as urban heat islands, stormwater runoff, and reduced access to green spaces. Junctions and intersections, often overlooked, are some of the most impervious and environmentally stressed areas in urban landscapes. This project aims to … Read more
