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.
Slim Aarons’s Aesthetic Meets Generative AI Slim Aarons’ Aesthetic and Legacy Slim Aarons (1916–2006) built a career photographing the glamour of high society in the postwar 20th century. A combat photographer in World War II turned lifestyle chronicler, Aarons famously vowed to only capture “attractive people doing attractive things in attractive places” after witnessing the … Read more
Intro Designers know the pain: a perfect image—ruined by one wrong material. A distracting object. A missing texture. An awkward composition. You could retouch it manually, but how long will that take? And will it ever really blend? What if you could just circle the problem area and ask for something better? Something that fits … Read more
Building a Production-Ready Property Valuation Model In the landscape of urban development, real estate investment, and computational design, accurate property valuation is essential. Yet, the datasets we rely on are rarely clean, tidy, or immediately ready for predictive use. This blog post unpacks how our team developed a robust, interpretable machine learning model for property … Read more
Why “Faster” Matters A single photorealistic render can quickly be very expensive and take days to produce, locking design changes behind hefty bills and long waits for architects. Generative AI, through models like Stable Diffusion and custom LoRAs, slashes both cost and time, turning sketches into near-final visuals in seconds. By democratizing high-fidelity imagery, it … Read more
Introduction In this blog, we walk through the complete data science process applied to a unique challenge: predicting the acoustic comfort index of apartment units based on architectural and environmental features. This includes data preprocessing, feature engineering, model training, interpretation, and tuning—with tools like XGBoost, Neural Networks, and SHAP for explainability. The workflow is split … Read more
Bridging Carbon estimations in early design stages The built environment accounts for nearly 40% of global carbon emissions, the urgency to integrate sustainability into architectural and engineering processes has never been greater. Yet, decisions made in the earliest stages of building design often lock in the majority of a structure’s lifetime carbon footprint, long before … Read more
1 — Project OverviewOur project is based on the building geometry model that is provided with three apartment types and spaces in between them. We chose to focus on the shared spaces: the courtyards, terraces, and balconies. The building is located in Barcelona, so we rely on fixed environmental conditions and don’t re-run simulations. We … Read more
A tool that transforms any architectural sketch into the style of Hassan Fathy using AI. Introduction Our app takes a simple sketch as input and automatically renders it in the hand-drawn style of Hassan Fathy.This enables users to visualize their ideas as if sketched by the master himself, in just seconds. We trained our model … Read more
Fire Spread Prediction in Building Layouts Project Goal The goal is to predict fire safety risk at the unit level in a building. We are conducting a fire spread analysis for building layouts by examining spatial, structural, and material features. The objective is to model and understand how fire propagates through different parts of a … Read more
As part of the Hyper Building B Services Team, our Integrative Modeling session focuses on developing a strategic approach to podium-level services. This initial stage revolves around conceptualizing and allocating key functions across different building levels. Key Spatial Allocations: This preliminary discussion serves as the foundation for refining an integrated approach to building services, ensuring … Read more
Roof albedo, the measure of a roof’s reflectivity, significantly impacts urban heat islands, energy consumption, and overall building efficiency. This study aims to analyze how different roof features and materials affect roof albedo in Copenhagen using machine learning techniques. Extreme heat events are rising globally and projected to increase in frequency and intensity, posing a … Read more
Thermal Insight would be a standalone app that optimizes indoor environments by predicting thermal comfort. With simulations from trained models to help enhance occupant comfort and energy efficiency, evaluating metrics like PMV, PPD, and MRT. This tool would help improve well-being and productivity while achieving efficiency goals. Abstract Methodology Use Case Data Analysis Results and … Read more
Project Aim In this project we aim to predict the type of vehicle crash that can be foreseen in the city of New York based on the traffic volume, using Graph Neural Networks (GNNs). To develop this machine learning model we use 3 different datasets. The model could hold potential if developed further, to be … Read more
Our project aims to determine suitable workstation arrangement for office typology in a conservation shophouse in Singapore through maximise daylight on the worksurface to achieve 300 lux (to a maximum of 3000 lux) for good lighting condition. In a conservation shophouse, where the building envelope and facade cannot be altered. There are two daylight sources … Read more
Our project derives from our observation that in Singapore, most of hotels are located along the east and southeast areas near Changi Airport. There are very few hotels on the west side of Singapore. We also take into account on factors that tourists and visitors consider when making a reservation. These factors include public transportation, … Read more
The exercise analyses Yelp reviews on restaurants and tries to investigate on how we can leverage the accuracy and the volume of the review information. The data structure then, is built up directly from the YELP web sites and associate the “review id” to a code that than has been analyzed though a RAG method…. and … Read more
