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.


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Brick Flow

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

IFCore Compliance Checker

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

InFormed

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

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

Flow – SIGHT: De- coding urban mobility

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

Contexept

Contexept is a design-to-fabrication workflow that uses AI to generate context-aware façade designs and turn them into 3D-printable architectural modules. By combining semantic keyword clustering, image generation, and robotic clay printing, the system transforms abstract ideas into buildable, site-sensitive forms. It bridges digital creativity with physical construction, making AI a meaningful collaborator in architecture. Architecture … Read more

EMI: Engine for Morphological Integration Vol II

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

InFormed.

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.