Address :
Chair of Data Science (Informatik X)
University of Würzburg
Emil-Fischer-Straße 50
97074 Würzburg Germany

Email : andrzej.dulny[at]uni-wuerzburg.de

About me

I have been part of the DMIR Research Group since early 2021, after I received my master’s degree in Mathematics at the University of Würzburg. Currently pursuing research at Prof. Hotho’s research group.

Research interests

I am passionate about leveraging machine learning techniques to predict the evolution of physical systems, extract the physical equations governing the system, and enhance simulation methods with machine learning. My work lies at the intersection of machine learning and physics, with a particular emphasis on developing and applying novel deep learning methods to solve complex problems in the field of dynamical systems using:

  • Physics-Informed Neural Networks (PINNs)
  • NeuralODEs
  • Graph Neural Networks
  • Transformer-based models for spatial data
  • Furthermore, I am particularily interested in handling non-grid and low-resolution data.

The methods I develop in my research can be applied to improve simulation and prediction of a variety of physical systems including weather prediction, climate models, wave simulations, fluid dynamics etc. Additionally, I apply the results of my research within the MAGNET4cardiac7T research project, where I aim to train neural networks for simulating electromagnetic fields within a MRI scanner.

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