InFraReD - An Intelligent Framework for Resilient Design
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Start Date
10-8-2021 3:05 PM
End Date
10-8-2021 3:25 PM
Description
Abstract
Climate change is no longer a debate but a real urgency. City planners, developers, architects and municipalities need to understand the impact of our buildings on the environment and make resilient plans for the future. However, environmental simulations are very complex, time consuming and not accessible.
InFraReD is a platform for resilient city planning based on Artificial Intelligence. It uses state of the art machine learning models to provide real-time simulation prediction on complex environmental simulations, such as wind, solar radiation and thermal comfort. InFraReD’s models are trained on large simulation data sets to be able to give instant feedback on design decisions, minimizing the complexity and resources required and making advanced environmental simulations accessible to all.
InFraReD - An Intelligent Framework for Resilient Design
Abstract
Climate change is no longer a debate but a real urgency. City planners, developers, architects and municipalities need to understand the impact of our buildings on the environment and make resilient plans for the future. However, environmental simulations are very complex, time consuming and not accessible.
InFraReD is a platform for resilient city planning based on Artificial Intelligence. It uses state of the art machine learning models to provide real-time simulation prediction on complex environmental simulations, such as wind, solar radiation and thermal comfort. InFraReD’s models are trained on large simulation data sets to be able to give instant feedback on design decisions, minimizing the complexity and resources required and making advanced environmental simulations accessible to all.
Comments
Biography
Angelos is the head of the City Intelligence Lab at the Austrian Institute of Technology in Vienna and he teaches at the Institute for Advanced Architecture of Catalonia and the Bauhaus University in Weimar. He studied Architecture at the University of Patras and Computational Design at the Bartlett, UCL and has completed his PhD as a Marie-Curie Fellow at the Innochain Innovative Training Network. He has previously worked as an Associate at Foster+Partners and has been teaching at the Bartlett, UCL, the IUAV and the TU Graz.
His research focuses on performance driven design and simulation but he has worked in various fields, including AI and machine learning, AR/VR, 3D scanning, digital fabrication and interactive installations. He has developed various design systems and simulation interfaces, including InFraReD, an AI based design framework for urban planning.