The MaCAD is a unique online programme training a new generation of architects, engineers and designers ready to develop skills into the latest softwares, computational tools, BIM technologies and AI towards innovation for the Architecture, Engineering and Construction (AEC) industry.
Can Street Geometry Predict Urban Safety Risk? A machine-learning pipeline that classifies street morphology into risk typologies — from OpenStreetMap features to multi-city deployment, dead ends included. This post documents the full arc of our Urban Safety project — not just the results, but the reasoning, the wrong turns, and what we learned from them. … Read more
Mediterranean islands are crushed by tourism in July and August, and almost empty the rest of the year. So we asked what if generative AI could show people the ten months that already exist beyond those two? The goal was to make the off-season feel desirable, not as data, but as images you’d actually want … Read more
We have all been there. It is 3:00 AM, the competition deadline is looming, and you are trapped in an endless, soul-crushing loop of exporting from Rhino, tweaking vectors in Illustrator, and heavy post-processing in Photoshop. The repetitive grind of architectural representation can quickly lead to creative burnout. It is time to smash the old … Read more
Our cities have long been shaped around cars — wide roads, narrow sidewalks, and green spaces replaced by parking lots. Cars have quietly become the measure of how we design our streets. But what if cities were designed for people instead? As Fred Polak wrote in Images of the Future, the act of visualizing possible … Read more
How a sentence becomes a buildable LEGO set, and the engineering that makes it stand up. We named the project lEgoarCh. The capital E and C are us, Emilie and Charles, smuggled into the wordmark like a hidden stud. The demo is the fun part: you type a building, and a minute later a real LEGO set is sitting on a shelf. … Read more
Introduction Noise is one of the most pervasive environmental stressors in cities. Long-term exposure has been linked to sleep disturbance, cardiovascular disease, reduced cognitive performance, and lower overall quality of life. Yet despite its importance, detailed noise maps are surprisingly difficult to obtain. Producing official noise maps requires measurements, traffic models, and considerable technical effort. … Read more
Interface Description Ching Splat is an experimental generative AI workflow. The project explores how architectural images can be translated between real photographs, line drawings, watercolor-style illustrations, and presentation renders through a controlled interface. The main design intention is not only to generate attractive images, but to build a practical visual workflow for architecture: keeping the … Read more
Tile-based machine-learning workflow for indoor plant suitability prediction Introduction Plant placement in interior spaces is usually treated as an intuitive or aesthetic decision. However, different areas inside the same room can receive very different levels of sun, radiation, useful daylight and humidity. This project proposes a machine-learning workflow to classify interior space into plant suitability … Read more
ML-Driven Plant Placement for Adaptive Architecture BioSpatial Intelligence explores how machine learning can support planting decisions in architectural spaces. The project starts from a simple design question: when we design a building, how can we decide which plants belong to which environmental conditions? Instead of relying only on intuition, we developed a workflow that reads … Read more
Objective Traditional flood risk maps take months to produce, are updated only every few years, and are too coarse, they might say a whole district is at risk without telling you which specific street or field will actually be underwater. “We are going to predict whether any given location in Thessaly, Greece is Flood-Prone or … Read more
Interface description FlatDream is a interface inspired by the book Learning from Las Vegas built on 2 custom-trained LoRA models, fine-tuned on the visual language of the Archigram movement. It connects directly to ComfyUI and LM Studio to generate architectural imagery from text, image references, and multi-input compositions, with outputs that feed into a magazine builder, … Read more
Can we predict what kind of use does a city grid hosts — Commercial vs. Residential — from its built form, morphology, and proximity to other urban features? “Can we predict the land use of a space based on existing environmental information from official and unofficial sources?” What’s the sweet spot for a Machine Learning … Read more
Abstract Construction is responsible for a substantial share of global material waste and carbon emissions, and one of the reasons is structural: design, fabrication, and assembly are still treated as separate phases with fragmented handoffs between them. This podcast episode explores what changes when those phases are linked into a single, feedback-driven workflow where parametric … Read more
Program Voxels is a web-based parametric tool that automates building massing studies using cellular automata algorithms. Designed for architects and urban planners, the application intelligently distributes multiple building programmes within a user-defined boundary while respecting complex adjacency relationships. Built with Vue 3, Three.js, and Rhino Compute, the tool bridges visual programming with an intuitive web … Read more
Roof design has long been constrained by the limitations of traditional BIM applications. While architects envision expressive, non-planar geometries, they often default to repetitive planar forms due to technological barriers. Beyond aesthetics, these planar designs leave critical questions unanswered: How many panels are needed? What custom tile sizes must be fabricated? How do design decisions impact material costs and constructability? Problem Statement Most BIM applications limit roof design to planar forms, creating a significant gap between architectural vision and what’s … Read more
How intentional pauses in digital workflows improve accountability, decision-making, and collaboration in BIM practice. There’s a particular kind of confidence that comes with a smooth workflow. Files transfer without errors, models update on schedule, clash reports run automatically, information moves. That feeling is satisfying. It can also be exactly what should make you pause This … Read more
