lux.ai
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
During the second year of the Master in Advanced Architecture + Thesis Project (MAA02), students have the unique opportunity to work for a period of 1 year on an Individual Thesis Project, focused on the development of a research or pilot project based on the student’s interest, and the learnings of the first year. IAAC supports the student in selecting their Thesis Project topic in order to better orient them according to their future career interests and opportunities. Each student, according to their specific topic, is assigned one or more Thesis Advisors that follow the development of the work throughout the year.
In parallel to the development of the Individual Thesis Project, the second year of the MAA02 offers a series of seminars enhancing the theoretical, practical and computational skills of the students.
Between Ritual and River
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
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
WOLF
“What if you could speak your design ideas and watch them transform into complete parametric scripts in real-time?”
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.
Wildlife Integrating Landscape Design Artificial Intelligence – WILD.AI — Term_II
Context How? Where? Workflow Outputs
DESIGN FLEX- PHASE- II
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
