Prof. Dr.-Ing. Markus König held a presentation titled “From Data to Decisions: Artificial Intelligence Shaping the Future of the Construction Industry”, underscoring how AI-driven methods are rapidly transforming project efficiency and long-term structural performance at the 17th International Conference on Concrete Engineering and Technology (CONCET) at the University of Malaya in Kuala Lumpur, Malaysia.
On July 31st, 2026, Benedikt Faltin successfully defended his dissertation titled “Automated Reconstruction of Bridge Superstructure Geometry from Drawings.”
Since July 1st, Arne has been our newest member of the chair as a research assistant!
Since June 15, Yusra has been part of our chair as a research assistant. In this interview, she tells us about her academic interests, how her academic path developed, and what continues to motivate her in both her research and teaching
On June 2, 2026, Yara Salloum successfully defended her dissertation titled “Advanced Predictive Analytics for Simulations of Mechanized Tunneling Using Real-Time Data and Artificial Intelligence.
On May 15, 2026, Simon Kosse successfully defended his dissertation titled “A Modular
System Reference Architecture for Semantic Digital Twins in Precast Concrete Production.”
On March 6, 2026, Liu Liu successfully defended her dissertation titled “BIM-enabled Information Delivery for Transportation Infrastructure Operation and Maintenance Using Semantic Web Technology.”
Digital regulations for the planning and testing of railway bridges
How can complex technical regulations be prepared in such a way that they can not only be read in digital planning and testing processes, but also applied in a structured manner? This is precisely where the mFUND project SmartBridgeRules comes in. The aim of the project is to make the technical regulations for railway bridge construction, which have been predominantly text-based up to now, digitally usable, thereby significantly improving planning, testing, and approval processes.
Within the research project ZIRKULAR-X, two research associates (m/f/d) are sought to collaboratively develop a digital, AI-supported infrastructure for the systematic recording and evaluation of building services systems (TGA) in accordance with circular economy principles.
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Last update: 2026/09/10 | 4 pm
