Data Science in Civil Engineering

The Professorship of Data Science in Civil Engineering, led by Prof. Dr.-Ing. habil. Stefan Kollmannsberger, combines classical civil engineering methods with modern concepts of data processing and machine learning. Research and teaching focus on topics such as numerical simulation, deep learning in computational mechanics, additive manufacturing in construction (including 3D concrete printing), and structural health monitoring using intelligent sensor networks. The professorship participates in several collaborative projects, including the DFG Transregio 277 “Additive Manufacturing in Construction,” and brings current research results directly into the teaching of construction informatics, from foundational courses such as “Computer Science for Engineers” to advanced modules in deep learning and data analysis.