Dr. Peter Arlinghaus

I am using numerical modeling and machine learning to understand the driving processes behind landform changes, particularly in coastal regions. My approach involves combining hydro- and morphodynamic models with the impact of flora and fauna, especially benthos, which are abundant in coastal areas and on continental shelves.

One of my key interests is the development and the mutual feedback between landforms and lifeforms. These interactions can also be observed through remote sensing. Concerning this, I am developing unsupervised and semi-supervised machine learning methods to efficiently generate benchmark datasets of satellite imagery. These datasets will aid in creating robust deep learning models capable of identifying changes in coastal landforms and ecosystems.