Dr. Philipp Denzel

Work at ZHAW

Position

Machine Learning Researcher, Centre for Artificial Intelligence (CAI)

Focus

• Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision
• Generative Deep Learning, Computational Astrophysics, Cosmology
• Responsible & Trustworthy AI, Explainable AI

Experience

Research Assistant
Institute for Computational Science (UZH)
2016 - 2021

Education and Continuing education

Education

• PhD / Physics
  University of Zurich
  2016 - 2021
• Msc / Computational Science
  University of Zurich
  2014 - 2016
• Bsc / Physics (Informatics Minor)
  University of Zurich
  2010 - 2014

Network

Social media

• Homepage
• LinkedIn

Projects

• certAInty – A Certification Scheme for AI systems / Team member / Project ongoing
• Square Kilometre Array: Mock-observations via generative deep learning / Team member / Project ongoing

Publications

• Billeter, Yann; Denzel, Philipp; Chavarriaga, Ricardo; Forster, Oliver; Schilling, Frank-Peter; Brunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Weng, Joanna,

  2024.

  MLOps as enabler of trustworthy AI [paper].

  In:

  11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-30443

• Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Schilling, Frank-Peter; Weng, Joanna; Chavarriaga, Ricardo; Amini, Amin; Repetto, Marco; Iranfar, Arman,

  2024.

  Towards the certification of AI-based systems [paper].

  In:

  11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-30439

• Denzel, Philipp; Schilling, Frank-Peter; Gavagnin, Elena,

  2023.

  Map-to-map translation for SKA mock observations and cosmological simulations [poster].

  In:

  Hammers & Nails 2023 - Swiss Edition, Ascona, Switzerland, 29 October - 3 November 2023.

  Winterthur:

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-29047

• Denzel, Philipp Benedikt; Schilling, Frank-Peter; Gavagnin, Elena,

  2023.

  Deep learning the SKA : the Square Kilometer Array project [poster].

  In:

  Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-27219

• Denzel, Philipp; Brunner, Stefan; Luley, Paul-Philipp; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Schilling, Frank-Peter; Amini, Amin; Repetto, Marco; Iranfar, Arman; Weng, Joanna; Chavarriaga, Ricardo,

  2023.

  A framework for assessing and certifying explainability of health-oriented AI systems.

  In:

  Explainable AI in Medicine Workshop, Lugano, Switzerland, 2-3 November 2023.

Publications before appointment at the ZHAW

• Bridging the gap between simply parametrized and free-form pixellated models of galaxy lenses: The case of WFI 2033-4723 quad. The Open Journal of Astrophysics, 4
• The lens SW05 J143454.4+522850: A fossil group at redshift 0.6? Monthly Notices of the Royal Astronomical Society, 506(2), 1715–1722
• A new strategy for matching observed and simulated lensing galaxies. Monthly Notices of the Royal Astronomical Society, 506(2), 1815–1831
• Time delay lens modelling challenge. Monthly Notices of the Royal Astronomical Society, 503(1), 1096–1123
• Denzel, P., Coles, J. P., Saha, P., & Williams, L. L. R. (2021). The Hubble constant from eight time-delay galaxy lenses. Monthly Notices of the Royal Astronomical Society, 501(1), 784–801
• Denzel, P., Mukherjee, S., Coles, J. P., & Saha, P. (2020). Lessons from a blind study of simulated lenses: Image reconstructions do not always reproduce true convergence. Monthly Notices of the Royal Astronomical Society, 492(3), 3885–3903
• Denzel, P., Diemand, J., & Angélil, R. (2016). Molecular dynamics simulations of bubble nucleation in dark matter detectors. Physical Review E, 93(1)

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