During the second year of the Master in Advanced Architecture + Thesis Project (MAA02), students have the unique opportunity to work for a period of 1 year on an Individual Thesis Project, focused on the development of a research or pilot project based on the student’s interest, and the learnings of the first year. IAAC supports the student in selecting their Thesis Project topic in order to better orient them according to their future career interests and opportunities. Each student, according to their specific topic, is assigned one or more Thesis Advisors that follow the development of the work throughout the year.
In parallel to the development of the Individual Thesis Project, the second year of the MAA02 offers a series of seminars enhancing the theoretical, practical and computational skills of the students.
FLOOD RESILIENCE TOOLBOX FOR ADAPTIVE URBAN DESIGN IN COASTAL CITIES Flooding is the most frequent natural disaster worldwide. By the report from The OECD (Organization for Economic Co-operation and Development), floods cause more than 38 billion euro in damages worldwide per year. Due to climate change, floods are becoming more extreme and frequent. Coastal areas … Read more
ShapeDiver is an online platform that simplifies hosting and sharing Grasshopper files online. This project is aimed at creating a chair in shape diver platform where the users can customize the design and size by using the provided parameters like The Size of the Seat, The Material Thickness, the Chair’s Width etc., however, they like. are.
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.
Revolutionizing Architectural Animation with AI ArchiMationAI is revolutionizing the architectural animation industry by providing AI video visualization for architectural projects. By transforming the way architecture is presented and marketed, our solution caters to the needs of architects, real estate developers, and designers who seek to create visually engaging content that stands out in today’s highly … Read more
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
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
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
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.
Zack Eisenberg : Advanced Architecture Teachers: Oriol Carrasco, Gabriele Liuda Research Framework
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
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.
