Dr. Philipp Denzel
Dr. Philipp Denzel
ZHAW
School of Engineering
Technikumstrasse 71
8400 Winterthur
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
Professional development teaching
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
ORCID digital identifier
Social media
Projects
- certAInty – A Certification Scheme for AI systems / Team member / abgeschlossen
- Square Kilometre Array: Mock-observations via generative deep learning / Team member / abgeschlossen
Publications
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Frischknecht-Gruber, Carmen; Denzel, Philipp; Reif, Monika; Billeter, Yann; Brunner, Stefan; Forster, Oliver; Schilling, Frank-Peter; Weng, Joanna; Chavarriaga, Ricardo; et al.,
2025.
AI assessment in practice : implementing a certification scheme for AI trustworthiness [paper].
In:
Görge, Rebekka; Haedecke, Elena; Poretschkin, Maximilian; Schmitz, Anna, eds.,
Symposium on Scaling AI Assessments (SAIA 2024).
Symposium on Scaling AI Assessments (SAIA 2024), Cologne, Germany, 30 September - 1 October 2024.
Schloss Dagstuhl – Leibniz-Zentrum für Informatik.
pp. 15:1-15:18.
Open Access Series in Informatics (OASIcs) ; 126.
Available from: https://doi.org/10.4230/OASIcs.SAIA.2024.15
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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:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
pp. 37-40.
Available from: https://doi.org/10.1109/SDS60720.2024.00013
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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:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
pp. 84-91.
Available from: https://doi.org/10.1109/SDS60720.2024.00020
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Weng, Joanna; Denzel, Philipp; Reif, Monika Ulrike; Schilling, Frank-Peter; Billeter, Yann; Frischknecht-Gruber, Carmen; Brunner, Stefan; Chavarriaga, Ricardo; Repetto, Marco; Iranfar, Arman,
2024.
Certification scheme for artificial intelligence based systems [paper].
In:
34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-30549
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Bonaldi, A.; Hartley, P.; Braun, R.; Purser, S.; Acharya, A.; Ahn, K.; Resco, M. Aparicio; Bait, O.; Bianco, M.; Chakraborty, A.; Chapman, E.; Chatterjee, S.; Chege, K.; Chen, H.; Chen, X.; Chen, Z.; Conaboy, L.; Cruz, M.; Darriba, L.; De Santis, M.; Denzel, P.; Diao, K.; Feron, J.; Finlay, C.; Gehlot, B.; Ghosh, S.; Giri, S. K.; Grumitt, R.; Hong, S. E.; Ito, T.; Jiang, M.; Jordan, C.; Kim, S.; Kim, M.; Kim, J.; Krishna, S. P.; Kulkarni, A.; López-Caniego, M.; Labadie-García, I.; Lee, H.; Lee, D.; Lee, N.; Line, J.; Liu, Y.; Mao, Y.; Mazumder, A.; Mertens, F. G.; Munshi, S.; Nasirudin, A.; Ni, S.; Nistane, V.; Norregaard, C.; Null, D.; Offringa, A.; Oh, M.; Oh, S. -H.; Parkinson, D.; Pritchard, J.; Ruiz-Granda, M.; López, V. Salvador; Shan, H.; Sharma, R.; Trott, C.; Yoshiura, S.; Zhang, L.; Zhang, X.; Zheng, Q.; Zhu, Z.; Zuo, S.; Akahori, T.; Alberto, P.; Allys, E.; An, T.; Anstey, D.; Baek, J.; Basavraj; Brackenhoff, S.; Browne, P.; Ceccotti, E.; Chen, H.; Chen, T.; Choudhuri, S.; Choudhury, M.; Coles, J.; Cook, J.; Cornu, D.; Cunnington, S.; Das, S.; Acedo, E. De Lera; Delou is, J. -M.; Deng, F.; Ding, J.; Elahi, K. M. A.; Fernandez, P.; Fernández, C.; Alcázar, A. Fernández; Galluzzi, V.; Gao, L. -Y.; Garain, U.; Garrido, J.; Gendron-Marsolais, M. -L.; Gessey-Jones, T.; Ghorbel, H.; Gong, Y.; Guo, S.; Hasegawa, K.; Hayashi, T.; Herranz, D.; Holanda, V.; Holloway, A. J.; Hothi, I.; Höfer, C.; Jelić, V.; Jiang, Y.; Jiang, X.; Kang, H.; Kim, J. -Y.; Koopmans, L. V.; Lacroix, R.; Lee, E.; Leeney, S.; Levrier, F.; Li, Y.; Liu, Y.; Ma, Q.; Meriot, R.; Mesinger, A.; Mevius, M.; Minoda, T.; Miville-Deschenes, M. -A.; Moldon, J.; Mondal, R.; Murmu, C.; Murray, S.; SR, Nirmala; Niu, Q .; Nunhokee, C.; O'Hara, O.; Pal, S. K.; Pal, S.; Park, J.; Parra, M.; tra, N. N. Pa; Pindor, B.; Remazeilles, M.; Rey, P.; Rubino-Martin, J. A.; Saha, S.; Selvaraj, A.; Semelin, B.; Shah, R.; Shao, Y.; Shaw, A. K.; Shi, F.; Shimabukuro, H.; Singh, G.; Sohn, B. W.; Stagni, M.; Starck, J. -L.; Sui, C.; Swinbank, J. D.; Sánchez, J.; Sánchez-Expósito, S.; Takahashi, K.; Takeuchi, T.; Tripathi, A.; Verdes-Montenegro, L.; Vielva, P.; Vitello, F. R.; Wang, G. -J.; Wang, Q.; Wang, X.; Wang, Y.; Wang, Y. -X.; Wiegert, T.; Wild, A.; Williams, W. L.; Wolz, L.; Wu, X.; Wu, P.; Xia, J. -Q.; Xu, Y.; Yan, R.; Yan, Y. -P.,
2025.
Square Kilometre Array Science Data Challenge 3a : foreground removal for an EoR experiment.
arXiv.
Available from: https://doi.org/10.48550/arxiv.2503.11740
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Frischknecht-Gruber, Carmen; Denzel, Philipp; Forster, Oliver; Billeter, Yann; Iranfar, Arman; Repetto, Marco; Reif, Monika Ulrike; Schilling, Frank-Peter; Weng, Joanna; Chavarriaga, Ricardo,
2025.
In:
AI Days @ HES-SO, Geneva and Lausanne, Switzerland, 27–29 January 2025.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-32422
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Bianco, Michele; Giri, Sambit. K.; Sharma, Rohit; Chen, Tianyue; Krishna, Shreyam Parth; Finlay, Chris; Nistane, Viraj; Denzel, Philipp; De Santis, Massimo; Ghorbel, Hatem,
2024.
arXiv.
Available from: https://doi.org/10.48550/arxiv.2408.16814
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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
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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
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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)