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.

LouverGen

Project Aim The idea behind the tool is straightforward, that is to hand-sketch louver lines over a facade image to demonstrate the potential reduction in solar radiation on the facade which is linked to a domino effect on the chain of sustainability, as reduction in radiation on the facade will lead to reduction of energy … Read more

To bike or not to bike?

Bike route classification using Graph Machine Learning The goal of the project was to develop a graph machine learning model that would predict existence of bike routes in Singapore based on collected geodata. Because the bike routes were represented by graph edges, that was also our classification type. Data Exploration & Research Topic We choose … Read more

Barcelona Program

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

Project H.E.A.T

Project H.E.A.T, that is Heat Evaluation Assessment Techniques is an attempt to predict Urban Heat Island (UHI) which is the temperature difference caused due to an urban city being much hotter than the countryside around it, due to the built environment and human activities. As per the project hypotheses predicting UHI using Machine Learning might … Read more

Soundscape

Crafting Tranquil Spaces with Acoustic Walls Within this digital realm of sound innovation, The app ” Soundscape ” provides users to craft tranquil spaces, leveraging the pivotal role of acoustic walls as the architects of tranquility. In spaces like home piano rooms, users can tailor every aspect of the acoustic landscape to create harmonious and … Read more

The Role of AI in Connecting Architecture Data

3 Pocast Episodes with Immanuel Koh, Håvard Vasshaug, and Angelos Chonics Architects often face challenges when dealing with diverse data formats and the manual recreation of forms in Building Information Modeling (BIM) software. These obstacles can result in time-consuming processes, errors, and discrepancies between design intentions and construction execution. AI tools such as LunchboxML, PlanFinder, … Read more

Predictive Analytics in Urban Development: Assessing Real Estate Viability with AI

INTRODUCTION The development of smart cities has become an integral part of modern urban planning as a result of rapid urbanization and technological advances. This thesis examines the rapidly growing field of artificial intelligence (AI) as well as how it can revolutionize urban analysis across a wide variety of industries. In particular, I will focus … Read more

GRAPH MACHINE LEARNING TOWARDS ADAPTIVE CITIES: A data-driven approach to sea level rise problematics

Abstract This thesis explores experimental approaches when addressing sea level rise challenges , the impacts of land loss due to sea rise and population growth. It delves into considerations associated with innovative approaches while emphasizing the integration of urban syntax and graph machine learning. Drawing upon case studies and open data, underscoring the importance of … Read more

Spatial.Revelations

Abstract This study delves into the innovative fusion of graph theory with architectural design and planning, facilitated by a structured BIM to Graph workflow. By conceptualizing architectural elements as nodes and their interconnections as edges within a graph, architects gain an adaptable and multifunctional tool for representation, analysis, and strategic planning. The graph’s inherent scalability … Read more

First step towards circular reconstruction. Damage assessment and material mapping of buildings in Ukraine through ground imagery processing.

An apartment building explodes after Russian army tank fire in Mariupol, Ukraine, March 11, 2022. (AP Photo/Evgeniy Maloletka)

Intro Russian full-scale invasion of Ukraine, which started on 24.02.2022, is the biggest war in Europe since WWII. It took the lives of dozens of thousands of Ukrainians a brought massive destruction [1] and ecological catastrophes. Some cities are completely erased. A massive piece of land is still occupied. This war and its consequences are … Read more

Superblock BCN

A Multidimensional Study of the Superilla My research starts from observing human behaviour. Often when we face a change in our lives, especially when it wasn’t planned, we feel resistance and it takes time before we accept and embrace it.  As you probably know Barcelona in the last few years lived some changes in its … Read more

Advanced Architectural Guide

Abstract Architecture enthusiasts face a dilemma when planning their travel visits. Either they spend a lot of time and effort researching and planning their routes, or they can rely on mainstream websites and blogs that tend to recommend well-known works, ruling out works with the same architectural interest that have received less media coverage. The … Read more

OptiLight

“Illuminating Spaces, Effortlessly!” I INTRODUCTION “This project utilizes graph machine learning to enhance architectural lighting design. Through GraphSAGE, we classify light sources considering their features and interconnections with architectural components, aiming to streamline the design process and consistently achieve optimal lighting scenarios.” I DESIGN PROCESS I DATA SET ZONES EDGES EDGES I MODEL DEVELOPMENT

WEB GRAPH MACHINE LEARNING

Our project website can be accessed at bit.ly/graphml Introduction Our research focused on hosting a machine learning model on the web that accesses Rhino.Compute. It receives an input of a polyline drawn on a Leaflet.js map by a user to indicate the central corridor spine of a building and returns a graph of that building … Read more

FireFly

Harnessing the power of drone-based photogrammetry and artificial intelligence to create a low-cost urban wildfire diagnostic tool. In recent years, the global community has witnessed a significant upsurge in the frequency and intensity of wildfires. Driven by a combination of climate change, urban expansion, and land-use practices, these fires have not only devastated vast natural … Read more

SOUND INTELLIGENCE

Kala Academy Auditorium Refurbishment – Using Genetic Algorithms I PROBLEM STATEMENT I STATE OF THE ART EMPAC The interior was treated with various wall patterns applied to the walls leaving no flat surfaces to increase sound diffusion and decrease reverberation time, This made it rank as one of the most acoustically perfect concert halls in the … Read more

UTIL_HUTS

THEORETICAL LENSEUtil_huts examines the ubiquities of traditional concrete design, construction and supply chain methods through the research and development of a design tool for backcountry safety huts in Iceland. This tool uses techniques in machine learning, parametric design and structural simulation to explore the architectural possibilities of cement mortar mixtures with basalt aggregates, also known … Read more