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.

Kyoto Blossoms & Tourism Machine Learning

Project Focus For our Graph Machine Learning project, wanted to look at the city of Kyoto and Tourism Behavior around Cherry blossom patterns. Specifically, we set out to find out how cherry blossom patterns might affect the behavior and walking paths of tourists within the city. Data Sets We started by collecting our data sets … Read more

100-Year Flood Risk Road Intersection Classification

Flood Risk Classification

Beginnings Our project’s concept is to develop a classification model that identifies street intersections (graph nodes) in Stockholm, Sweden, susceptible to flooding during a 100-year flood event. Based on our initial research, we found that graph machine learning operates at three levels: the graph, its edges, and its nodes. With access to a 100-year flood … Read more

Vastu in Graph Machine Learning

CONCEPT Vastu Shastra is a traditional Indian architectural science that provides a wide range of guidelines for design, layouts and construction of buildings. Vastu Shastra is based on the principles of ancient Indian texts and it aims to create harmonious and balanced living spaces that promote physical, mental and spiritual well being. WORKFLOW DESIGN PROCESS … Read more


A Graph Machine Learning Approach for Classifying Museums Layouts Based on their Circulation Patterns and Gallery Experiences. This project aims to use graph machine learning to evaluate and classify museum layouts and experiences. By leveraging the structure and relationships within a museum’s most contributing elements, such as galleries and circulation. The project aims to identify … Read more

Wildlife Corridors

Our project focuses on modeling and predicting habitat fragmentation avoidance mechanisms using graphs. We investigate wildlife corridors in Australia, leveraging graph-based approaches to create coherent passages and connect forest areas. By analyzing satellite images, road data, and other metrics, we construct and evaluate graph models that incorporate forest containment, node characteristics, and connectivity. Our goal … Read more

Egress Prediction

This initiative is oriented towards the practical undertaking of identifying egress points within a floor plan. We have analyzed three typologies of a structure akin to multi-family dwellings or hotel-style establishments. After a thorough engagement with the process, there are subsequent measures to be considered, which we intend to elaborate upon in our final review. … Read more

Optimum Location for Medical Center

Introduction In some cities one of the important issues that needs to be resolved is the accessibility to a medical center in a short period of time to save people’s lives. Furthermore, in an emergency situations the ambulance should be able to reach to the patient and hospital as fast as it can without any … Read more

Cats & Books

From WFC to Graph ML WFC is an algorithm by Maxim Gumin using tile-based stochastic (random) aggregation. One of the most well known uses of WFC is the game Townscraper by Oskar Stalberg which is an indie town-builder game with 320k downloads. Lectures from Oskar Stalberg as well as YouTube videos form DV Gen are … Read more


 ‘Navigating Future Convenience’ PROBLEM STATEMENT The dataset contains information about previous trips taken by users, where each trip is represented as a node in the graph. The edges between the nodes represent connections between destinations visited by the same user. Additionally, the dataset includes attributes such as location details, amenities, time of day, activity type, … Read more


An Urban AI graft project based in Barcelona. In 2022 across both England and Wales the proportion of people that have some form of disability was a staggering 17.8% or nearly 10.4 million people. Our project is focused on urban mobility and aims to create accessibility for current routing applications have limited use for people … Read more

Floor Plan Evaluator

Floor Plan Evaluator using graph machine learning Project Workflow Problem definition & objective formulation With the growing pressure on cities available spaces for vertical or horizontal expansion, it’s crucial to make the most efficient use of the available spaces without compromising the space qualities. Conventional work flow of floor plan design is rigid regarding evaluating … Read more