Research in this area focuses on the management of data in the lifecycle phases of buildings or infrastructure. To optimize the availability, accessibility, and quality of data for planning, construction, and operation, data-centric approaches such as graph-based modeling technologies, Semantic Web, Building Information Modeling, blockchain-based Smart Contracts, and Digital Twins are employed.
Our research focuses on artificial intelligence technologies that can help to make infrastructure design, construction, and monitoring smarter, safer, and more cost-effective. Our mission is to couple Machine Learning to modern data management in the construction industry and BIM systems.
Civil engineering has long been a field where visual data plays a central role. In the chair, we focus on how visual and geometric data can be gathered, processed, and displayed. Active research is conducted in the fields of augmented and virtual reality, robotics, and laser scanning.