Learning and Generating Spatial Concepts of Modern Architecture via Graph Machine Learning

April 25, 2024 /

Lecture
CAADRIA 2024, Singapore University of Technology and Design (SUTD)

On April 25th, our student Erik Bauscher from the Chair of Computing in Architecture at the Institute of Computational Design and Construction (ICD/CA) presented his master thesis, “Learning and Generating Spatial Concepts of Modern Architecture via Graph Machine Learning” at the Conference for Computer-Aided Architectural Design Research in Asia 2024 (CAADRIA). This year's conference was hosted by the Singapore University of Technology and Design (SUTD), titled “Accelerated Design”. The thesis was submitted in July 2023 and supervised by Tenure track Prof. Dr. Thomas Wortmann and Prof. Stephan Trüby, tutored by our researchers Anni Dai and Diellza Elshani from ICD/CA. 

The research was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany ́s Excellence Strategy – EXC 2120/1 – 390831618. It was also awarded the IntCDC Thesis Award, which is a yearly award given to two graduates from the Cluster of Excellence. 

Date: 25th April 2024

Time: 9:00 PM - 9:30 AM

Venue: Singapore University of Technology and Design, 8 Somapah Road, 487372

Erik Bauscher studied both his bachelors and masters here at the University of Stuttgart with multiple exchange semesters in Paris and Sydney. He graduated in July 2024, specialising in the application of generative, artificial intelligence in architecture. Currently he is working at the UK-based practice Foster+Partners in London.

© Image credits: CAADRIA 2024

Read the paper here: 

https://caadria2024.org/wp-content/uploads/2024/04/128-LEARNING-AND-GENERATING-SPATIAL-CONCEPTS-OF-MODERNIST-ARCHITECTURE-VIA-GRAPH-MACHINE-LEARNING.pdf

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