We study the interaction between soil and structures and its influence on structural behavior under static and dynamic loads, along with corresponding modeling and mitigation strategies.

We develop methods for earthquake-resistant design by integrating structural mechanics, materials science, and performance-based engineering, including code development, retrofit strategies, and the assessment of seismic vulnerability in historic masonry buildings to derive damage patterns and targeted strengthening measures.

Real-world data and machine learning are used to identify structural parameters and develop digital twins for vibration monitoring, with a focus on sensor networks, data analytics, and predictive maintenance of infrastructure.

Research on induced earthquakes integrates hazard assessment, structural safety, and geothermal development, strengthening the potential of the Molasse Basin in Austria and Bavaria through cross-border collaboration.

We investigate structural vibrations in buildings to improve serviceability and reduce noise, and shape vibro-acoustic practice through projects such as VAMOR and standardization work within NALS.

Research on ground-borne vibrations develops data-driven prediction models for vibrations and secondary airborne noise in the near field, enabling more precise and practical mitigation strategies for impacts from construction, transport, and geothermal activities.