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.

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From Data to the Physical: Prototyping Architecture in the Digital Age

PROBLEM STATEMENT The predominant usage of digital processes in the current practice of architecture. However, with the many positives there are known inherent and latent constraints (e.g., data encryption, cloud breaches, and copyright issues) and other possible complexities and challenges. THESIS STATEMENT To inquire the understanding of the adoption of digital processes in the practice … Read more

Machine Learning in Architectural Practice and BIM

We’ve witnessed a fascinating shift from conventional to computational approaches, responsive designs, and the era of automation. Machine Learning, a term buzzing everywhere these days, has made its mark in our industry as well. In architecture, ML, a subset of artificial intelligence, utilizes data to tackle challenges in computer-aided design by simulating various design alternatives … Read more

Better Data Frameworks: What Pixar Can Teach the AEC Industry

Challenge The available Building Information Modeling (BIM) applications in the AEC industry help create geometry and add meta-data. However, the files generated by this software are neither readable nor editable by any other application. Additionally, the metadata added to geometry lives as disconnected copies in several models. These issues lock AEC companies to particular software … Read more

The Future of Generative Design – Enhanced with BIM

The Tools In the world of Architecture, Engineering, and Construction (AEC), designers have access to a plethora of tools, ideologies, and software to make their visions a reality. Within this vast space of options for designers to choose from, there are more specifically, tools that deal with Generative Design and Building Information Modeling (BIM). Software … Read more

Self-organized city – a product of collaboration

Sustainability and collective intelligence Manifesto diagram illustrating the participatory processes of the city inhabitants, created by the group Each section of this manifesto can be perceived independently. Choose the reading order and create your own narrative. The personalized narratives reflect the methodology to address the complexity of collaborative urban design processes at a macro level. … 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

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 and 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

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

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

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

Loneliness in Greater Melbourne

There are different types of loneliness and different causes for each type. The social media induced loneliness as described by Sherry Turkle in her book Alone Together: Why We Expect More from Technology and Less from Each Other (2012) is different from the loneliness of feeling alone in a crowd in a very large city … Read more

ANNA, the avatar

Embracing artistic collaboration, Eugenia and Littieri created Anna, an AI Avatar. Images, text, sound, and voice converged, augmented by Melobites’ melodies. Albert Einstein’s voice was revived, while voice mod technology transformed singers’ voices. The harmonious fusion of art and technology captivated audiences. This project showcased the limitless potential of collaboration between human creativity and AI, … 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

Generative Urban Farming

The experiment parts from a self organizing model that iterates based in the incident sun hours, to later be evaluated in 2 methods: DCGAN’s and PIX2PIX. Problem Statement: The objective is to utilize urban farming strategically in central Budapest to enhance the affordability of student life. The key questions revolve around the potential yield, geometric … Read more