Frank-Peter Schilling

Zurich University of Applied Sciences (ZHAW)

Centre for AI (CAI)

Office TN 03.64

Technikumstrasse 71

CH-8401 Winterthur

I am a senior lecturer and group leader at Zuerich University of Applied Sciences ZHAW, located in Winterthur, Switzerland. I am deputy director of ZHAW’s Centre for Artificial Intelligence CAI, and lead its Intelligent Vision Systems (IVS) research group. I am the scientific coordinator of the PhD programme in Data Science, a collaboration between ZHAW and University of Zurich. I am also adjunct professor for data science and AI at Victoria University of Wellington (NZ), and a IEEE CertifAIed Lead Assessor.

My research focus is on AI and generative Deep Learning methods for image analysis, understanding Machine Learning Systems (MLOps), Trustworthy AI and applications of AI/Deep Learning in the Sciences. I teach lectures at the BSc and MSc level in computer science and data science.

In a previous life, I performed fundamental research in Particle Physics at major international research Labs such as CERN (Geneva) and DESY (Hamburg). In 2012, I contributed to the experimental discovery of the Higgs particle at CERN, whose theoretical prediction was awarded with the 2013 Nobel Prize in Physics. I obtained a PhD in physics from the University of Heidelberg in 2001.

Profile page at ZHAW

Some recent publications are listed below:

selected publications

AI for
Med. Imaging

MInDI-3D: Iterative Deep Learning in 3D for Sparse-View Cone Beam Computed Tomography

Daniel Barco, Marc Stadelmann, Martin Oswald, Ivo Herzig, Lukas Lichtensteiger, Pascal Paysan, Igor Peterlik, Michal Walczak, Bjoern Menze, and Frank-Peter Schilling

IEEE Access, 2026

DOI arXiv File Bib

@article{mindi3d2025,
  author = {Barco, Daniel and Stadelmann, Marc and Oswald, Martin and Herzig, Ivo and Lichtensteiger, Lukas and Paysan, Pascal and Peterlik, Igor and Walczak, Michal and Menze, Bjoern and Schilling, Frank-Peter},
  journal = {IEEE Access},
  title = {MInDI-3D: Iterative Deep Learning in 3D for Sparse-View Cone Beam Computed Tomography},
  year = {2026},
  volume = {14},
  number = {},
  pages = {6438-6449},
  doi = {10.1109/ACCESS.2026.3652627},
  archiveprefix = {arXiv},
  file = {:files/2025_MInDI-3D_Iterative_Deep_Learning_in_3D_for_Sparse-View_Cone_Beam_Computed_Tomography.pdf:PDF},
}

GenAI for
Astrophysics

Galactic Alchemy: Deep Learning Map-to-Map Translation in Hydrodynamical Simulations

Philipp Denzel, Yann Billeter, Frank-Peter Schilling, and Elena Gavagnin

Monthly Notices of the Royal Astronomical Society, Feb 2026

DOI arXiv File Bib

@article{denzel2025galacticalchemy,
  title = {{Galactic Alchemy: Deep Learning Map-to-Map Translation in Hydrodynamical Simulations}},
  author = {Denzel, Philipp and Billeter, Yann and Schilling, Frank-Peter and Gavagnin, Elena},
  journal = {Monthly Notices of the Royal Astronomical Society},
  volume = {546},
  number = {4},
  pages = {stag155},
  year = {2026},
  month = feb,
  archiveprefix = {arXiv},
  primaryclass = {astro-ph.GA},
  url = {https://doi.org/10.1093/mnras/stag155},
  doi = {10.1093/mnras/stag155},
  file = {:files/2026_galactic_alchemy_mnras_stag155.pdf:PDF},
}