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.
Using climate clustering, vernacular precedent research, and evolutionary optimisation to create climate-responsive design typologies when no established local precedent exists Overview Lovingly named after the very first test location, Project Michigan is a tool that provides climate-responsive design guidelines when no local vernacular precedent exists. Through scraping climate data and global vernacular information, it helps … Read more
Using AI scripting in grasshopper to create and analyse reused timber stacked systems Two methods of creating panels made from an existing stocklist of reclaimed Timber using AI scripting integrated into Grasshopper. The first method explores the simple end to end stacking, by taking a random piece from the stock and placing it in a … Read more
“How can a real-time parametric system effectively optimize architectural truss geometry when constrained by a limited, randomized inventory of salvaged timber? “ Geometry vs. Inventory Standard architectural forms assume infinite material. When constrained by random, reclaimed timber offcuts, the geometry itself must adapt to survive. “Shifting the structural burden from material continuity to joint frequency.” Standard … Read more
Lux.Ai: a specialized toolset built for the IFCore platform. Our mission is simple: to transform static BIM models into active solar energy assets by automating compliance and yield auditing
Ecological Renewal of Ghats Statement “While industrial and sewage pollution receive significant attention in river conservation efforts. Ritual pollution stemming from religious and cultural practices remains largely unaddressed due to its sensitive nature. But it contributes substantially to river degradation and requires culturally respectful solutions.” Sacred Sites Across every continent and culture, rivers have never … Read more
Robotic Disassembly & Reassembly with Spatial AI Abstract The project explores a circular construction workflow that integrates robotic systems with Spatial AI to automate the disassembly and reassembly of brick structures. Utilizing a Gemini Vision-Language Model (VLM) pipeline, the system performs autonomous material evaluation, identifying surface damages such as chipping, spalling, and staining, as well … Read more
During the AI in Architecture and Urbanism Seminar, our team built an automated compliance checking system that validates architectural projects directly from IFC models. Building regulation checks are traditionally manual, slow, and error-prone. Architects review 2D drawings, interpret regulations individually, and often wait weeks for compliance feedback. We asked a simple question: what if compliance … 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. Demo :
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
