Lecturer in Model-based Development in Computational Engineering @ RWTH Aachen University 📍 Aachen, Germany
Working on computational and data-driven modelling of climate-driven geohazards
I am involved in multiple projects at different levels. Below you can find a list of open source research software that are developed at MBD @ RWTH.
PSimPy (Predictive and probabilistic simulation with Python) implements a Gaussian process emulation-based framework that enables systematic and efficient investigation of uncertainties associated with physics-based models (i.e. simulators).
SHIRE (Susceptibility Hazard mappIng fRamEwork) is a tool to facilitate and streamline landslide susceptibility and hazard mapping using a Random Forest classifier. It provides support for repetitive steps in landslide susceptibility and hazard mapping such as input dataset generation including data pre-processing.
It is a Python-based modular framework that can be complemented with individual modules necessary for answering individual mapping challenges due to the open-access nature of the code.
pyresice contains the software used to create the Reusability-targeted Enriched Sea Ice Core Database (RESICE) and can be used to extend or reproduce the database.