Style_Designer
Github Methodology example file: https://github.com/jamesalcock1309/Style_Designer.git
The MAA is a visionary master program with an innovative and open structure, mixing diverse disciplines, shaping professionals capable of producing theoretical & practical solutions towards responsive cities, architecture & technology.
Github Methodology example file: https://github.com/jamesalcock1309/Style_Designer.git
This research project aims to create a personal sense-making tool with an intent to facilitate data driven self reflection, analysis and understanding of our digital consumption. The tool extracts and categorizes the textual information and then uses AR visualization to establish an experiential understanding of the same. Augmented reality facilitates a deeper understanding and enhanced … Read more
Leveraging the Wave Function Collapse Algorithm for Application on Layered Quadrilateral Meshes Abstract Procedural Morphologies is a novel computational design workflow in the field of discrete design. It leverages the Wave Function Collapse Algorithm for application on any quadrilateral mesh. Thus a coherent three-dimensional aggregation solution can be generated for any quad mesh using a … Read more
ThermoVision is a predictive tool that leverages machine learning to gauge thermal comfort in urban landscapes, allowing us to understand the correlation between our built environment and the thermal comfort. There is inconsistent outdoor thermal comfort due to varied building topologies, building materials and vegetation. Understanding the thermal landscapes is challenging due to their complexity. … Read more
R-ERA [ Realtime – Emotion Responsive Architecture ] is a project of IAAC, Institute for Advanced Architecture of Catalonia developed in the Master in Advanced Architecture 02 – by the student: Preetam Prabhakar and Research Thesis Advisor: David Andres Leon during the course MAA02 22/23 Thesis under the Algorithmic Design research thesis cluster.
Introduction Archibuddy is a unique and innovative project that aims to create adaptive architectural elements to make environments emotion-responsive. Archibuddy will leverage the latest technologies to provide personalized experiences to users, optimizing their well-being and productivity using Emotion Detection Technology and the Algorithmic workflow that was developed over the course of the Master’s Research Thesis … Read more
Everyday, we are bombarded with notifications, emails and countless interactions online. On average, we spend over 40% of our time online
Morph_Designer is a project that researches the potential of available building footprint morphological data, and how this can become a design-aid tool in architectural practices, aiming to give a new scope of data driven design that can be used globally. “Architecture and the city are mutually constitutive, each influencing and shaping the other in a … Read more
Group 5 How can apartment typologies be designed to create communities within buildings, addressing social exclusion and isolation caused by modernist architecture? Can reinforcement learning be used to optimize the distribution of public and private spaces, such as apartments, balconies, patios, and courtyards, to create sub-communities within the building.
CONTEXT: Pedro always has visitors and enjoys exploring the city while finding new patios to have a drink in the city of Barcelona. Often with larger groups of people, the patio size can’t always accommodate. Before choosing a spot, he wants to know how big the patios are and where within the city they are … Read more
Introduction This project aims to investigate the extent to which different facade material choices can influence the urban heat island effect in the surrounding area. Urban Heat Island There are many factors that affect urban heat island and the three main branches are urban morphology, meteorology and surfaces. Out of all the factors three were … Read more
AER – Artificial Empathic Response [DIGISCAPES ver 2.0] is a project of IAAC, Institute for Advanced Architecture of Catalonia developed in the Master in Advanced Architecture 02 – by the student: Preetam Prabhakar and Research Thesis Advisor: David Andres Leon during the course MAA02 22/23 Thesis under the Algorithmic Design research thesis cluster.
Juan is a young professional living in a narrow street in Barcelona and he describes the street he lives in as a concrete hell. How air quality and greenery impact the experience, how a citizen feels, about a public space? The result will be an urban analytical tool for the city planners to manage air … Read more
The data we engage with everyday is growing rapidly, and our digital footprint is increasing! With the cyber-physical convergence and the fast expansion of the Internet, Volume of information created, copied, captured, and consumed worldwide went form 33 zettabytes in 2018 to an expected 175 zettabytes in 2051! That’s close 500% increase in 5 years. … Read more
The aim of this project is to create a workflow which would help in in the preliminary analysis of physical and materialistic damage using computer vision to enhance sight and successfully pinpoint the defects that can be seen by the camera. The Construction industry follows a very linear approach in terms of usage of materials … Read more
DIGISCAPES ver 1.0 is a project of IAAC, Institute for Advanced Architecture of Catalonia developed in the Master in Advanced Architecture 02 – by the student: Preetam Prabhakar and Research Thesis Advisor: David Andres Leon during the course MAA02 22/23 Thesis under the Algorithmic Design research thesis cluster.
Darkhan Kadirov Introduction Computational design is not just a tool, but a different approach to the idea of design itself. in past times, it was available only to a few people, but in our time, there is an opportunity for everyone to use it to materialize their thoughts. During this recreate, I took the idea … Read more