Frank-Peter Schilling

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ZHAW School of Engineering

Centre for AI (CAI)

Office TN 03.64

Technikumstrasse 71

CH-8401 Winterthur

I am an associate professor (“Dozent”) and group leader at Zuerich University of Applied Sciences ZHAW, located in Winterthur, Switzerland. I am also adjunct professor for AI and Data Science with the Victoria University of Wellington. I am deputy director of ZHAW’s Centre for Artificial Intelligence CAI, where I lead applied research projects in Artificial Intelligence and Deep Learning.

My research focus is on Computer Vision with Deep Learning, building Machine Learning Systems (MLOps), Trustworhy AI and applications of Deep Learning in the Physical Sciences. I am head of continuing education at CAI, and I teach lectures and seminars at the BSc and MSc level in computer science and data science. I am the scientific coordinator of the PhD programme in Data Science, a collaboration between ZHAW and University of Zurich. Besides that, I am involved in ZHAW’s digitization initiative (“ZHAW digital”) where I helped shaping the DIZH fellowship programme, and I organized the ZHAW Datalab Seminar.

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 (not our discovery, though) 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

news

May 31, 2024 Our paper on AI certification (Denzel et al., 2024) won the best paper award at SDS 2024! :sparkles:
Mar 12, 2024 Three new conference papers in the context of certification of AI systems accepted: One at ESREL 2024 (Billeter et al., 2024), and two at SDS 2024 (Denzel et al., 2024) (Billeter et al., 2024).
Jan 27, 2024 New website is up!

selected publications

  1. SDS 2024
    Towards the Certification of AI-based Systems
    Philipp Denzel, Stefan Brunner, Yann Billeter, Oliver Forster, and 8 more authors
    In SDS 2024: 11th IEEE Swiss Conference on Data Science, 2024
  2. SDS 2024
    MLOps as Enabler of Trustworthy AI
    Yann Billeter, Philipp Denzel, Ricardo Chavarriaga, Oliver Forster, and 5 more authors
    In SDS 2024: 11th IEEE Swiss Conference on Data Science, 2024
  3. IEEE Access
    Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning - A Review
    Mohammadreza Amirian, Daniel Barco, Ivo Herzig, and Frank-Peter Schilling
    IEEE Access, 2024
  4. Med.Phys.
    Mitigation of motion-induced artefacts in Cone Beam Computed Tomography using Deep Convolutional Neural Networks
    Mohammadreza Amirian, Javier A. Montoya-Zegarra, Ivo Herzig, Peter Eggenberger Hotz, and 9 more authors
    Med. Phys., 2023