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.

Building Physics transcends the theoretical as it steps into the realm of computational design and data driven optimization

With parametric models as its allies, Building Physics simulates and optimizes, offering a glimpse into the future of building design with tools capable of analyzing thermal comfort, lighting, energy consumption, and structural performance.  In the age of circular and environmentally driven approaches, computational design becomes the compass, guiding deep dives into material optimization, environmental impact … Read more

Democratized design to combat climate catastrophe.

As we move further into the 21st century, our chances of averting climate change have all but disappeared. Analysis shows that global temperatures now sit 1.1? above pre-industrial levels and are set to rise to 1.5? by the early 2030s (Jotzo and Howden, 2023). This rapid increase in temperatures has led to loss of land … Read more

Symbiotic Metabolism

Problem Statement Modern buildings are fortresses holding nature at bay, reflecting Dualist philosophies separating humans from nature. Our current Anthropocentric notion of “nature” as something “out there” and separate from culture has created a metabolic rift1 within our urban and architectural landscapes, obscuring the ravaging of the earth. Resources are shipped from across the globe, … Read more

Reversing Ecosystem Degradation

MaCAD 23/24 // ACESD Theory Existing State of Urban Design In order to understand how to strive for successful ecological design practices, designers must first understand the problems that currently exist in the process of urban design. The current state of design tends to create distinct enclosures between both natural ecosystems and humans, with the … 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

Latent Studio

Explorer for new architectural dimensions Latent Studio is a groundbreaking web service that redefines initial-stage modeling for large architecture offices. With the use of a Generative Adversarial Network (3DGAN) and a vast database of voxelized architectural massings, the end resultis an infinite typologies catalogue of intermediate shapes and scapes to explore. Along all steps (dataset, … Read more

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

Skylight Performance

This project studies skylight performance in four given cities: Barcelona, Malina, Melbourne, and Vancouver collectively, by employing of Data-Encoding machine learning methods. ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- Summary of Execution ‘Data_Encoding’ machine learning method offers renovative means for a variety of applications in architectural design. In order to have a … Read more

Facade Evolutions

By employing [input_output] + [pix2pix] combination of machine learning strategy, this exercise explores the opportunity to facilitate facade developments. [over 2000 variations] Inspirations [Input_Output] + [pix2pix] combination is a powerful machine learning tool for innovative architecture design. A meaningful and robust dataset is critical for a successful project. Pilot-test and extensive back-and-forth adjustments are also … 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

Museoflow

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

City.Style.GAN

Can we find a systemized approach for extracting the shape of cities? City.Style.GAN is a small research on the possible generative networks capables of generating new buildings massings according to the urban shape fo the city. Methodology: In a first aproximation to the urban generation, large portions of three urban tissues are extracted in OSMnx … Read more