André Borrmann is Professor of Computing in Civil and Building Engineering at the Technical University of Munich (TUM) and Director of the TUM Georg Nemetschek Institute - AI for the Built World, TUM's central institute for artificial intelligence in the built environment. His research develops AI methods across the life cycle of buildings and infrastructure: multi-agent frameworks built on large language models for generative design, deep learning for interpreting point clouds and images, machine learning for construction process analysis, and learned world models and agentic AI for robotized construction. He is spokesperson of the DFG Research Unit 5672 on the information backbone of robotized construction and originator of the Fabrication Information Modeling (FIM) concept. Borrmann also works on the adoption of Building Information Modeling in practice. He coauthored the 2015 BIM roadmap of the German Federal Ministry of Transport, has been active in the national BIM competence center BIM Deutschland since 2019, and is technical lead of ISO 7517 Level of Information Need. He chaired the German Association for Computing in Civil Engineering from 2016 to 2021 and the European Group for Intelligent Computing in Engineering from 2012 to 2015, and he serves on the editorial board of Advanced Engineering Informatics. He has published 117 peer-reviewed journal papers and 332 peer-reviewed conference papers, supervised 28 doctorates to completion and, since 2011, raised more than 15 million euros in more than 30 competitively awarded projects. Borrmann studied civil engineering at Bauhaus-Universität Weimar and received his doctorate from TUM in 2007. His awards include the SCP Excellence in Collaboration Award of the International Society for Smart Construction and Production (2026), the Konrad Zuse Medal of the German Construction Industry Federation (2024), the Smith Prize (2022) and the Thorpe Medal (2021) of the European Council of Computing in Construction, and 15 best-paper awards. Since 2024 he has been listed among the world's top 2% scientists in the Stanford University/Elsevier ranking.
