Markus Renner

Markus Renner is a research associate at the Institute for Computational Design (ICD/CA) at the University of Stuttgart. His current research project focuses on the implementation of surrogate models in the design space exploration for user-friendly autocompletion interactions.

Prior to joining ICD, Markus worked as a computational designer for str.ucture GmbH. He holds a Bachelor of Science and a Master of Science in Architecture and Urbanism at the University of Stuttgart, where he acquired extensive expertise in architecture, programming, robotics, and building construction.

Together with Matthias Hornung, their master’s thesis “Generating Non-Orthogonal Spatial Building Typologies Using Graph Neural Networks: An AI-based Co-Pilot for Context-Informed Architectural Design”, demonstrates a state-of-the-art machine learning approach for the generation of context-informed building elements in 3D, utilizing Graph Neural Networks (GNNs). The study introduces an autocompletion Co-Pilot tool designed to support planners in the Architecture, Engineering, and Construction (AEC) industry to streamline previously unachievable design processes.

His research interests include the enhancement of graph-based data structures with building information, the reassembly of reclaimed building elements, and the context-informed generation of geometry in three-dimensional space.