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.
Cities are warming rapidly, and dense urban centers feel it the most — especially areas with little shade or vegetation. Heat doesn’t affect everyone equally: groups like the elderly, youth, and people with health conditions are far more vulnerable. Problem Statement Most existing tools focus on UTCI, the Universal Thermal Climate Index. It measures how … Read more
Introduction Hyperbuilding 03 In our project, the building is conceived not as an isolated object, but as a vertical living tissue within the broader human organism of the “Vertical Machine”. Much like a network of functional cells, it sustains life, maintains environmental balance, and coordinates with the system’s “lungs” and “heart.” This biological metaphor guided … Read more
Abstract This research investigates how Building Information Modeling (BIM) can be leveraged to generate structured and meaningful architectural environments for architectural visualization, video games, and animated films. It explores workflows between BIM tools and real-time game engines, focusing on the transfer and preservation of spatial logic and metadata. The study aims to demonstrate how BIM-based … Read more
Introduction — Where My Interest Began My interest in AI and its application in the AEC industry started before this course. During the IAAC GSS, I worked on a study in Bogotá using GIS and image‑recognition tools to map sensory criticality in care-focused urban zones. What surprised me most was how accessible the process was. … Read more
Andromeda is a Rhino-native copilot that turns briefs, context, and massing into a single, interpretable graph so designers can enrich masterplans, evaluate KPIs, and bake results back to Rhino, without leaving their workflow. Built for early-stage masterplanning, it aims to raise social value, connectivity, accessibility, and overall urban quality by unifying data, guiding program allocation, … Read more
HaBiCoM is an AI-powered copilot designed to assist architects, designers, and users in shaping smarter, more responsive interior spaces. At its core, HaBiCoM redefines the way we approach furniture placement within residential environments by aligning each design decision with the user’s unique daily habits, lifestyle rhythms, and thermal comfort needs. Unlike traditional layout tools, HaBiCoM … Read more
Abstract In this project, we explore how graph-based thinking can reshape construction planning by bridging design data and scheduling logic. Drawing inspiration from modular architecture and network theory, we investigate new ways to visualize, analyze, and optimize the sequencing of building elements. By combining insights from BIM, parametric modeling, and graph analysis, the work aims … Read more
Thermal Comfort Index Prediction // Definition OBJECTIVE: predicting thermal comfort in air-conditioned residential buildings using machine learning algorithms. What is indoor thermal comfort? Thermal comfort is “That condition of mind that expresses satisfaction with the thermal environment” (ISO 7730) People may feel that their surroundings are warm, cold or simply comfortable depending on the thermal state … Read more
GWP-data enriched graphs Imagine being able to see the carbon footprint of a building, not after it’s built, but while it’s still a sketch. What if architects and engineers could get real-time sustainability feedback the moment they decide on a material or tweak a wall layout? That’s the vision behind Visual GWP. We combined Graph … Read more
In the rapidly urbanizing landscape of Singapore, the demand for innovative urban planning solutions is paramount to accommodating the growing population while preserving the city-state’s unique cultural and environmental heritage. This project proposes an exploration of a playful design methodology to devise novel urban block typologies tailored to Singapore’s specific needs and constraints. This research … Read more
Overview PaperLink WIP – This study specifically explores Physics-Informed Neural Networks (PINNs) and Computational Fluid Dynamics (CFD) to analyze pedestrian wind comfort. It aims to integrate these neural network models into a web application using Three.js and other tools. By utilizing data from OpenWeatherMap, and OpenStreetMap, the project aims to support real-time simulations and visualizations … Read more
Research Questions: Can climate sensitive facade interventions reduce the intensity of the Urban Heat Island effect within urban blocks in arid climates?“ Research Goal: The goal is to propose simplified, climate-sensitive facade interventions in highly urbanized cities that reduce energy loads by mitigating Urban Heat Island (UHI) effects, while complying with climate-resilient regulations. These interventions … 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 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
Block Classification This project aims to classify urban blocks in Barcelona, focusing on the districts of Saint Martí and Eixample, based on their dominant functions. By identifying the primary uses of these urban blocks, we can gain insights into the spatial organization and functional distribution within the research area. Saint Martí and Eixample, two vibrant … Read more
