Research
Our team of researchers has diverse interests that we aggregated into four areas.
Agent-based modelling and simulation
This research focuses on simulating how individual agents—such as people, vehicles, or autonomous systems—move, interact, and make decisions in spatial environments. Each agent follows its own rules and goals, allowing complex collective patterns to emerge from simple behaviors. This approach helps to understand and predict real-world dynamics such as human wayfinding and navigation, pedestrian flows in city centers, evacuation processes in stadiums, visitor movements in the Bavarian National Forest, or the coordination of multi-modal transport systems. It also supports the development of intelligent mobility solutions, including self-navigating buses on university campuses.
Geoinformatics in Archaeology
Through geoinformatics, archaeological research gains a powerful analytical and visual dimension — from 3D site documentation with drones and photogrammetry, to predictive modelling of undiscovered sites, to web-based GIS platforms that allow collaborative exploration of cultural heritage data. This combination of spatial technology and humanistic inquiry is transforming archaeology into a more data-rich, reproducible, and interdisciplinary science.
Modern approaches extend beyond simple mapping: archaeologists now use agent-based models (ABM) to simulate human decision-making, settlement dynamics, and patterns of movement in reconstructed landscapes. By integrating environmental data, terrain models, and social parameters, these simulations help test hypotheses about how ancient communities interacted with their surroundings.