The name of my project is "Physics based ICT: The digital twin in pipelines".In short, we are working on developing a digital for pipelines with a special focus on leak detection. In order to have a digital twin working in real-time it needs to be able to assimilate data in real-time. This is, in general, not possible for large scale applications where simulations take a long time. Therefore, a major part of the project is about utilising deep learning for surrogate modelling… Show more The name of my project is "Physics based ICT: The digital twin in pipelines".In short, we are working on developing a digital for pipelines with a special focus on leak detection. In order to have a digital twin working in real-time it needs to be able to assimilate data in real-time. This is, in general, not possible for large scale applications where simulations take a long time. Therefore, a major part of the project is about utilising deep learning for surrogate modelling. Furthermore, the modelling of the uncertainty plays a crucial role. Every estimate needs to be accompanied by a probability distribution so the reliability can be taken into account as well. For such modelling, we make use of Bayesian inference and generative deep learning. Show less

We collect, combine, analyze and visualize spatial data to extract practical insights for you

The research project deals with low noise supercontinuum sources for ultra-high resolution 800nmoptical coherence tomography for glaucoma diagnosis. I am working on GPU acceleration of a C++implementation of the 4th order Runge-Kutta Interaction Picture method to solve the generalizednonlinear Schrodinger Equation.

Assisting in the development and improvement of new and/or existing computational tools for various tasks within wind energy R&D. For example decreasing the computation time as well as improving the precision of the computation of buckling in wind turbine foundations and analysing various methods for taking hindcast weather and wave data into account for optimal planning of wind turbine farm constructions.

Teaching assistant in the courses:01035 - Advanced Engineering Mathematics 2 (Fall 2018) - Awarded TA of the year02685 - Scientific Computing for Differential Equations (Spring 2018)02687 - Scientific Computing for Differential Equations 2 (Spring 2018)

Presenting and developing science shows for schools and visitors.