Dr. Philipp Denzel

ZHAW School of Engineering
Centre for Artificial Intelligence
Technikumstrasse 71
8400 Winterthur

+41 (0) 58 934 78 23
philipp.denzel@zhaw.ch

Arbeit an der ZHAW

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

Projekte

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

Bernardini, M., Feldmann, R., Anglés-Alcázar, D., Denzel, P., & Gensior, J. (2026). Unveiling the dark Universe with HI and EMBER-2. Monthly Notices of the Royal Astronomical Society, stag204. https://doi.org/10.1093/mnras/stag204
Denzel, P., Billeter, Y., Schilling, F.-P., & Gavagnin, E. (2026). Galactic alchemy : deep learning map-to-map translation in hydrodynamical simulations. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1093/mnras/stag155
Bonaldi, A., Hartley, P., Braun, R. D., Purser, S. J. D., Acharya, A., Ahn, K., Resco, M. A., Bait, O., Bianco, M., Chakraborty, A., Chapman, E., Chatterjee, S., Chege, K., Chen, H., Chen, X., Chen, Z., Conaboy, L., Cruz, M., Darriba, L., et al. (2025). Square Kilometre Array Science Data Challenge 3a : foreground removal for an EoR experiment. Monthly Notices of the Royal Astronomical Society, 543(2), 1092–1119. https://doi.org/10.1093/mnras/staf1466
Bianco, M., Giri, S. K., Sharma, R., Chen, T., Krishna, S. P., Finlay, C., Nistane, V., Denzel, P., De Santis, M., & Ghorbel, H. (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), 234–250. https://doi.org/10.1093/mnras/staf973

Schriftliche Konferenzbeiträge, peer-reviewed

Salis, E. d., Santis, M. D., Piras, D., Giri, S. K., Bianco, M., Cerardi, N., Denzel, P., Selcuk-Simsek, M., Hess, K. M., Toribio, M. C., Kirsten, F., & Ghorbel, H. (2025). Exploring the early universe with deep learning (J. Valente de Oliveira, J. Leite, J. Rodrigues, J. Dias, & P. Cardoso, Eds.; pp. 426–438) [Conference paper]. Springer. https://doi.org/10.1007/978-3-032-05176-9_33
Frischknecht-Gruber, C., Denzel, P., Reif, M., Billeter, Y., Brunner, S., Forster, O., Schilling, F.-P., Weng, J., & Chavarriaga, R. (2025). AI assessment in practice : implementing a certification scheme for AI trustworthiness [Conference paper]. In R. Görge, E. Haedecke, M. Poretschkin, & A. Schmitz (Eds.), Symposium on Scaling AI Assessments (SAIA 2024) (pp. 15:1–15:18). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASIcs.SAIA.2024.15
Billeter, Y., Denzel, P., Chavarriaga, R., Forster, O., Schilling, F.-P., Brunner, S., Frischknecht-Gruber, C., Reif, M. U., & Weng, J. (2024). MLOps as enabler of trustworthy AI [Conference paper]. 2024 11th IEEE Swiss Conference on Data Science (SDS), 37–40. https://doi.org/10.1109/SDS60720.2024.00013
Denzel, P., Brunner, S., Billeter, Y., Forster, O., Frischknecht-Gruber, C., Reif, M. U., Schilling, F.-P., Weng, J., Chavarriaga, R., Amini, A., Repetto, M., & Iranfar, A. (2024). Towards the certification of AI-based systems [Conference paper]. 2024 11th IEEE Swiss Conference on Data Science (SDS), 84–91. https://doi.org/10.1109/SDS60720.2024.00020
Weng, J., Denzel, P., Reif, M. U., Schilling, F.-P., Billeter, Y., Frischknecht-Gruber, C., Brunner, S., Chavarriaga, R., Repetto, M., & Iranfar, A. (2024, June). Certification scheme for artificial intelligence based systems. 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024. https://doi.org/10.21256/zhaw-30549

Weitere Publikationen

Denzel, P., Weiss, M., Gavagnin, E., & Schilling, F.-P. (2026). Optimization of deep learning models for radio galaxy classification. arXiv. https://doi.org/10.48550/arXiv.2601.04773
Bonaldi, A., Hartley, P., Braun, R., Purser, S., Acharya, A., Ahn, K., Resco, M. A., Bait, O., Bianco, M., Chakraborty, A., Chapman, E., Chatterjee, S., Chege, K., Chen, H., Chen, X., Chen, Z., Conaboy, L., Cruz, M., Darriba, L., et al. (2025). Square Kilometre Array Science Data Challenge 3a : foreground removal for an EoR experiment. arXiv. https://doi.org/10.48550/arxiv.2503.11740
Frischknecht-Gruber, C., Denzel, P., Forster, O., Billeter, Y., Iranfar, A., Repetto, M., Reif, M. U., Schilling, F.-P., Weng, J., & Chavarriaga, R. (2025, January 28). Assessment tool for trustworthy AI systems : operational workflows for compliance assessment with regulatory requirements. AI Days @ HES-SO, Geneva and Lausanne, Switzerland, 27–29 January 2025. https://doi.org/10.21256/zhaw-32422
Bianco, M., Giri, Sambit. K., Sharma, R., Chen, T., Krishna, S. P., Finlay, C., Nistane, V., Denzel, P., De Santis, M., & Ghorbel, H. (2024). Deep learning approach for identification of HII regions during reionization in 21-cm observations : III. image recovery. arXiv. https://doi.org/10.48550/arxiv.2408.16814
Denzel, P., Schilling, F.-P., & Gavagnin, E. (2023, October 30). Map-to-map translation for SKA mock observations and cosmological simulations. Hammers & Nails 2023 - Swiss Edition, Ascona, Switzerland, 29 October - 3 November 2023. https://doi.org/10.21256/zhaw-29047
Denzel, P. B., Schilling, F.-P., & Gavagnin, E. (2023, January 11). Deep learning the SKA : the Square Kilometer Array project. Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. https://doi.org/10.21256/zhaw-27219

Mündliche Konferenzbeiträge und Abstracts

Denzel, P., Brunner, S., Luley, P.-P., Frischknecht-Gruber, C., Reif, M. U., Schilling, F.-P., Amini, A., Repetto, M., Iranfar, A., Weng, J., & Chavarriaga, R. (2023, November 2). A framework for assessing and certifying explainability of health-oriented AI systems. Explainable AI in Medicine Workshop, Lugano, Switzerland, 2-3 November 2023.