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.
Thermal Insight would be a standalone app that optimizes indoor environments by predicting thermal comfort. With simulations from trained models to help enhance occupant comfort and energy efficiency, evaluating metrics like PMV, PPD, and MRT. This tool would help improve well-being and productivity while achieving efficiency goals. Abstract Methodology Use Case Data Analysis Results and … Read more
Introduction Accurate prediction of rental prices poses a significant challenge in dynamic real estate markets such as Amsterdam. Our research project explores the use of graph-based machine learning to improve the accuracy of such predictions. This methodology could be of interest to various actors in the real estate sector, including brokers, investors, and urban planners. … Read more
Studying migration is crucial for urban planners and architects to anticipate and accommodate the influx of people into cities, ensuring the development of robust infrastructure that can support this growth. As migration patterns shape demographic changes, understanding these trends allows cities to plan for adequate housing, transportation, healthcare, and educational facilities. This foresight is essential … Read more
Who Why: For the Amenities, we selected the following due to its overall correlation with residential real estate and we anticipate that it will give a good indication of how the properties would be priced. By creating bounding boxes around the amenities, with a radius of 1km, we ensure that as much of the graph … Read more
This project aimed to develop a daylight predictor to facilitate and generate well-informed adaptive reuse projects, with a specific focus on providing sustainable design solutions for low-income housing. Los Angeles (LA) was selected as a case study due to its proactive open data initiatives and commitment to adaptive reuse. This proposal provides a snapshot of … Read more
Our goal was to predict the relationship between the tourist activity zones and the airbnb rentals. Tourism is vital to Spain’s economic growth, with Barcelona as a key contributor, accounting for over 12% of the country’s GDP. TOURIST ANALYSIS AND DATA Tourist spots and zones can be broadly classified to tourist amenities – transits, bus … Read more
In a world where urban areas are predominantly developed and the heat island effect is intensifying, the construction industry significantly contributes to environmental challenges. Instead of focusing on tools that promote new construction, our goal is to provide a tool that analyzes existing buildings and suggests improvements. This approach aims to enhance sustainability and mitigate … Read more
Rethinking Urban Spaces Parks and green areas are critical in cities as they provide spaces for people to meet, interact, and find a social life. They contribute significantly to the mental and physical well-being of residents, offering a natural respite from the urban hustle. Project Summary: According to google reviews, the most important factor for … Read more
Greater Manchester, one of the largest and most vibrant urban centers in the UK, is characterized by its substantial student population and a dynamic economic landscape. With approximately 120,670 university students during the 2021/22 academic year and a significant number of these individuals studying at the University of Manchester and Manchester Metropolitan University, the region … Read more
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
AI in the Anthropocene The architectural profession is currently at a critical juncture, faced with the dual challenges of advancing artificial intelligence (AI) and the escalating climate crisis. Many architects harbour fears of obsolescence as AI’s capabilities expand, potentially automating tasks that traditionally require human expertise. This concern is not unfounded, as AI-driven tools increasingly … Read more
Our group project is Ant Hill Colony on Mars, which has both above/below ground elements and underground heart, tunnels and pods. The project concept derived from “learning from ant colony,” therefore, the geometry shapes were more organic and natural. Originally, we recreated this by starting with LiDAR technology to identify the soil characteristics, then applying … Read more
Inhabiting Ice Cavities under the Martian Surface Introduction – The Idea For the first settlers on Mars, we have envisioned a colony of Aqua-Miners with the primary task of harvesting water as a resource from the ice beneath Mars’ surface, storing it and recycling it for sustainable use. Our approach to this problem has been … Read more
Introduction – The Idea For the first settlers on Mars, we have envisioned a colony of Aqua-Miners with the primary task of harvesting water as a resource from the ice beneath Mars’ surface, storing it and recycling it for sustainable use. Our approach to this problem has been exceptionally data-driven. Our idea is to explore … Read more
The concept of the “15-minute city” emphasizes a urban development model in which residents can access most, if not all, of their everyday needs within a 15-minute walk or bike ride from their homes. This approach seeks to counter the challenges of suburban sprawl by fostering more compact, efficient, and sustainable urban environments. Before beginning … Read more
Project Concept Establishing a Martian food colony around a Mohole, designed based on growth morphology of alfalfa for efficient organization and development using L-systems. These terminologies are further explained below. Moholes Moholes on Mars are massive cylindrical excavations in the regolith, reaching up to 1 km in diameter and 7 km in depth. With temperatures … Read more
View some of the collected data here: Street Types and Property Information Genius Loci was inspired by the work the of Sarah Williams in her book ‘Data action – Using data for public good’. In today’s data-driven world, the use of data has become increasingly pervasive, shaping various aspects of our lives from policymaking to … Read more
UrbanCanvas is an innovative web application designed to provide comprehensive and detailed data for urban areas, empowering users with precise information about plot boundaries, buildings, 3D structures, roads, land usage, and empty plots within a city. This platform seamlessly integrates advanced mapping technologies, data visualization, and analytics tools to facilitate urban planning, real estate development, … Read more
Concept The idea “Rain Catcher” tackles this challenge head-on by introducing a web application for a sustainable solution Testing platform. These aren’t your average rain shelters; they’re sophisticated rainwater harvesting systems designed to capture and store this valuable resource. Rain Catcher might help cities to transform a potential burden – rainwater – into a valuable … Read more
Initial Sketch Idea To develop an interface which allows users to visualize the co-relation of green spaces within the buffer zones of building design. The distance of the building from the boundaries will determine how high the built plot will be and it will suggest the number of floors and wall height dynamically on the … Read more
NOISENSE emerges as a dynamic tool that facilitates the visualization of otherwise visually imperceptible phenomena within spaces. Through sound simulation and virtual prototyping techniques, NOISENSE aims to go beyond the limitations of human auditory perception, thereby enabling the visualization and replication of sound atmospheres. By conceptualizing sound as a spatial field, the online app allows … Read more
Concept The purpose of the app was to help with viewing and researching information on different types of amenities (like parks, playgrounds, etc.) near selected locations, based on the available OSM data. It’s based on Grasshopper script that is sent to Rhino Compute and visualized on the web using three.js. Grasshopper base The script is … Read more
In the dynamic landscape of urbanization, migration towards cities is an undeniable trend. With this migration comes a myriad of challenges, notably the exponential rise in land costs and the often haphazard nature of urban development. As cities expand, there’s a pressing need for thoughtful and strategic construction that not only addresses the demands of … Read more
Translating Point Clouds into BIM Geometry For the first settlers on Mars, we have envisioned a colony of Aqua-Miners with the primary task of harvesting water as a resource from the ice beneath Mars’ surface, storing it and recycling it for sustainable use. Our approach to this problem has been exceptionally data-driven. Our idea is … Read more
