Markus Renner

Seminar

• Computational Explorations 2 - WS 2025
• Computational Explorations - SS 2024/25

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 for design space exploration with an emphasis on 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 developing GNN models with graph-based building information data to infer missing node features, and to enable context-informed generation of building elements, especially their geometry in three-dimensional space.