AI in use for flood protection
In his master's thesis, Joshua addressed a highly topical issue at the interface between engineering and computer science: deep learning in flood protection. The aim of his research was to develop a model that can accurately predict flood areas and water depths on the River Leine – and do so in a fraction of the time required by conventional methods.
‘I wanted to create a tool that complements hydrodynamic models but drastically reduces simulation time. This allows us to react more quickly in an emergency,’ explains the award winner.
The award was presented during a ceremony by the Vice-President for Teaching, Prof. Dr Julia Gillen. Joshua took the opportunity to present his work to a wide audience and share his passion for his interdisciplinary field.
We would like to express our sincere thanks to the Christian Kuhlemann Foundation, which finances this award and thus supports young talents in their academic careers.
We congratulate Joshua on this well-deserved success!
