Dr. Philipp Denzel

Arbeit an der ZHAW

Tätigkeit

Machine Learning Researcher, Centre for Artificial Intelligence (CAI)

Arbeits- und Forschungsschwerpunkte

• Künstliche Intelligenz, Machine Learning, Deep Learning, Computer Vision
• Generatives Deep Learning, Computergestützte Astrophysik, Kosmologie
• Responsible & Trustworthy AI, Explainable AI

Lehrtätigkeit in der Weiterbildung

CAS Machine Intelligence

Berufserfahrung

Wissenschaftlicher Assistent
Institut für Computergestützte Wissenschaften (UZH)
2016 - 2021

Aus- und Weiterbildung

Ausbildung

• Dr. sc. nat. / Physik
  Universität Zürich
  2016 - 2021
• Msc / Computational Science
  Universität Zürich
  2014 - 2016
• Bsc / Physik (mit Nebenfach Informatik)
  Universität Zürich
  2010 - 2014

Netzwerk

ORCID digital identifier

ORCID ID: 0000-0003-0126-0659

Social Media

• Homepage
• LinkedIn

Projekte

• AI-Beschleunigte Radiative Transfer Simulationen für das SKAO / Stellv. Projektleiter:in / laufend
• GenAI4SKA: Simulierte astronomische Beobachtungen durch generative Deep Learning / Teammitglied / laufend
• certAInty – A Certification Scheme for AI systems / Teammitglied / abgeschlossen
• Square Kilometre Array: Simulierte astronomische Beobachtungen durch generative Deep Learning / Teammitglied / abgeschlossen

Publikationen

• Bianco, Michele; Giri, Sambit K.; Sharma, Rohit; Chen, Tianyue; Krishna, Shreyam Parth; Finlay, Chris; Nistane, Viraj; Denzel, Philipp; De Santis, Massimo; Ghorbel, Hatem,

  2025.

  Deep learning approach for identification of H II regions during reionization in 21-cm observations - III. Image recovery.

  Monthly Notices of the Royal Astronomical Society.

  541(1), S. 234-250.

  Verfügbar unter: https://doi.org/10.1093/mnras/staf973

• Bonaldi, Anna; Hartley, Philippa; Braun, Robert D.; Purser, S. J. D.; Acharya, Anshuman; Ahn, Kyungjin; Resco, Miguel Aparicio; Bait, Omkar; Bianco, Michele; Chakraborty, Abhijit; Chapman, Emma; Chatterjee, S.; Chege, K.; Chen, Hao; Chen, Xiao; Chen, Zhong; Conaboy, Luke; Cruz, M.; Darriba, Laura; Santis, M. De; Denzel, Philipp; Diao, Kai; Feron, Jennifer; Finlay, Chris; Gehlot, B. K.; Ghosh, Shaon; Giri, Sambit K.; Grumitt, R D P; Hong, Sungwook E.; Ito, Takaaki; Jiang, Min; Jordan, C.; Kim, S.; Kim, Mi Ran; Kim, J.; Krishna, Shreyam Parth; Kulkarni, Akshay; López-Caniego, M.; Labadie-García, I.; Lee, H. W.; Lee, David; Lee, Nicole; Line, J.; Liu, Yu‐Rong; Mao, Yi; Mazumder, Aishrila; Mertens, Florent; Munshi, S.; Nasirudin, Ainulnabilah; Ni, Shaoqing; Nistane, Viraj; Norregaard, Carina; Null, Donald M.; Offringa, A. R.; Seo, H.; Oh, Se–Heon; Parkinson, David; Pritchard, Jonathan R.; Ruiz-Granda, M.; López, Valle; Shan, Huanyuan; Sharma, Rohit; Trott, Cathryn M.; Yoshiura, Shintaro; Zhang, Li; Zhang, X.; Zheng, Q.; Zhu, Z.; Zuo, Shuai; Akahori, Takuya; Alberto, P.; Allys, Erwan; An, Tao; Anstey, D.; Baek, Ji‐Hye; Basavraj; Brackenhoff, S. A.; Browne, P.; Ceccotti, E.; Chen, Hao; Chen, Tianyue; Choudhuri, S; Choudhury, Mahbuba; Coles, Jonathan; Cook, Joseph M.; Cornu, David; Cunnington, Steven; Das, Sonali; Acedo, Eloy de Lera; Delouis, J.‐M.; Dèng, Fēi; Ding, Junjun; Elahi, Khandakar Md Asif; Fernandez, P; Fernandéz, Christian; Alcázar, A.; Galluzzi, V.; Gao, L. Q.; Garain, Utpal; Garrido, Julián,

  2025.

  Square kilometre array science data challenge 3a : foreground removal for an EoR experiment.

  Monthly Notices of the Royal Astronomical Society.

  Verfügbar unter: https://doi.org/10.1093/mnras/staf1466

• 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, Hrsg.,

  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.

  S. 15:1-15:18.

  Open Access Series in Informatics (OASIcs) ; 126.

  Verfügbar unter: https://doi.org/10.4230/OASIcs.SAIA.2024.15

• 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.

  S. 37-40.

  Verfügbar unter: https://doi.org/10.1109/SDS60720.2024.00013

• 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.

  S. 84-91.

  Verfügbar unter: https://doi.org/10.1109/SDS60720.2024.00020

• 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.

  Verfügbar unter: https://doi.org/10.21256/zhaw-30549

• 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.

  Verfügbar unter: https://doi.org/10.48550/arxiv.2503.11740

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

  2025.

  Assessment tool for trustworthy AI systems : operational workflows for compliance assessment with regulatory requirements[Poster].

  In:

  AI Days @ HES-SO, Geneva and Lausanne, Switzerland, 27–29 January 2025.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Verfügbar unter: https://doi.org/10.21256/zhaw-32422

• Bianco, Michele; Giri, Sambit. K.; Sharma, Rohit; Chen, Tianyue; Krishna, Shreyam Parth; Finlay, Chris; Nistane, Viraj; Denzel, Philipp; De Santis, Massimo; Ghorbel, Hatem,

  2024.

  Deep learning approach for identification of HII regions during reionization in 21-cm observations : III. image recovery.

  arXiv.

  Verfügbar unter: https://doi.org/10.48550/arxiv.2408.16814

• 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.

  Verfügbar unter: 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.

  Verfügbar unter: 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.

Publikationen vor Tätigkeit an der 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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