Prof. Dr. Frank-Peter Schilling
Prof. Dr. Frank-Peter Schilling
ZHAW
School of Engineering
Centre for Artificial Intelligence
Technikumstrasse 71
8400 Winterthur
Arbeit an der ZHAW
Tätigkeit
- Zentrumsleiter a.i., Stv. Zentrumsleiter, Centre for Artificial Intelligence (CAI)
- Gruppenleiter, Intelligent Vision Systems (IVS), CAI
- Koordinator, Doktoratsprogramm Data Science (mit Univ. Zürich)
- Adjunct Professor, Victoria University of Wellington (NZ)
Arbeits- und Forschungsschwerpunkte
Künstliche Intelligenz, Machine Learning, Deep Learning, Physik
Lehrtätigkeit
- Machine Learning Operations (MLOps, BSc IT+DS, 2024)
- Computer Vision with Deep Learning (CVDL, BSc IT+DS, 2024)
- Artificial Intelligence I (AI1, BSc IT, 2019, 2020, 2021, 2022)
- Deep Learning (CAS Machine Intelligence, 2022, 2023)
- Machine Intelligence Lab (MSc, 2019)
- AI Seminar (MSc, 2019)
Lehrtätigkeit in der Weiterbildung
- CAS Machine Intelligence
- CAS Advanced Machine Learning and Machine Learning Operations
- WBK Generative KI in Lehre und Weiterbildung
Berufserfahrung
- Dozent
ZHAW
2022 - heute - Senior Wissenschaftlicher Mitarbeiter
ZHAW
2019 - 2022
Aus- und Weiterbildung
Ausbildung
- Dr. rer. nat. (PhD) / Physik
Universität Heidelberg
1998 - 2001 - Dipl.-Phys. (MSc equiv.) / Physik
Universität Heidelberg
1992 - 1998
Weiterbildung
- CAS Hochschuldidaktik
PH Zürich
2024 - Certified Project Management Associate
IPMA
2015
Netzwerk
Mitglied in Netzwerken
- Confederation of Laboratories for AI Research in Europe CLAIRE
- data innovation alliance
- European Lab for Learning and Intelligent Systems ELLIS (Supporter)
- European Physical Society EPS
- Deutsche Physikalische Gesellschaft DPG
- ZHAW Datalab
- ZHAW Digital Health Lab
- ZHAW Digital Futures Lab
Auszeichnungen
EPS HEP Prize
European Physical Society
07 / 2013
Social Media
Projekte
- Certification program for assessing ethics of Autonomous Intelligent Systems (IEEE CertifAIEd Assessor Training) / Projektleiter:in / laufend
- certAInty – A Certification Scheme for AI systems / Teammitglied / laufend
- AC3T – AI powered CBCT for improved Combination Cancer Therapy / Projektleiter:in / laufend
- Square Kilometre Array: Simulierte astronomische Beobachtungen durch generative Deep Learning / Stellv. Projektleiter:in / laufend
- PhD Program in Data Science / Projektleiter:in / laufend
- OSR4H – Open Set Recognition for Hematology / Projektleiter:in / abgeschlossen
- Standardized Data and Modeling for AI-based CoVID-19 Diagnosis Support on CT Scans (SDMCT) / Teammitglied / abgeschlossen
- DIR3CT: Deep Image Reconstruction through X-Ray Projection-based 3D Learning of Computed Tomography Volumes / Projektleiter:in / abgeschlossen
- TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization / Teammitglied / abgeschlossen
- RealScore – Scanning of Real-World Sheet Music for a Digital Music Stand / Co-Projektleiter:in / abgeschlossen
- FWA: Visual Food Waste Analysis for Sustainable Kitchens / Teammitglied / abgeschlossen
- QualitAI - Quality control of industrial products via deep learning on images / Teammitglied / abgeschlossen
Publikationen
-
Amirian, Mohammadreza; Barco, Daniel; Herzig, Ivo; Schilling, Frank-Peter,
2024.
Artifact reduction in 3D and 4D cone-beam computed tomography images with deep learning - a review.
IEEE Access.
Verfügbar unter: https://doi.org/10.1109/ACCESS.2024.3353195
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Amirian, Mohammadreza; Montoya-Zegarra, Javier A.; Herzig, Ivo; Eggenberger Hotz, Peter; Lichtensteiger, Lukas; Morf, Marco; Züst, Alexander; Paysan, Pascal; Peterlik, Igor; Scheib, Stefan; Füchslin, Rudolf Marcel; Stadelmann, Thilo; Schilling, Frank-Peter,
2023.
Medical Physics.
50(10), S. 6228-6242.
Verfügbar unter: https://doi.org/10.1002/mp.16405
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Schilling, Frank-Peter; Flumini, Dandolo; Füchslin, Rudolf Marcel; Gavagnin, Elena; Geller, Armando; Quarteroni, Silvia; Stadelmann, Thilo,
2022.
Archives of Data Science, Series A.
8(2).
Verfügbar unter: https://doi.org/10.5445/IR/1000146422
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Tuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar; Schilling, Frank-Peter; Stadelmann, Thilo,
2020.
Design patterns for resource-constrained automated deep-learning methods.
AI.
1(4), S. 510-538.
Verfügbar unter: https://doi.org/10.3390/ai1040031
-
Stadelmann, Thilo; Schilling, Frank-Peter, Hrsg.,
2022.
Advances in deep neural networks for visual pattern recognition.
Basel:
MDPI.
Journal of Imaging ; 8.
Verfügbar unter: https://www.mdpi.com/journal/jimaging/special_issues/deep_neural_network
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Schilling, Frank-Peter; Stadelmann, Thilo, Hrsg.,
2020.
Artificial neural networks in pattern recognition.
Basel:
MDPI.
Computers ; 9.
Verfügbar unter: https://www.mdpi.com/journal/computers/special_issues/ANNPR2020
-
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
-
Herzig, Ivo; Paysan, Pascal; Scheib, Stefan; Züst, Alexander; Schilling, Frank-Peter; Montoya, Javier; Amirian, Mohammadreza; Stadelmann, Thilo; Eggenberger Hotz, Peter; Füchslin, Rudolf Marcel; Lichtensteiger, Lukas,
2022.
Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCT [Poster].
In:
AAPM Annual Meeting, Washington, DC, USA, 10-14 July 2022.
American Association of Physicists in Medicine.
S. e325-e326.
Verfügbar unter: https://doi.org/10.1002/mp.15769
-
Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter; Rosenthal, Matthias; Stadelmann, Thilo,
2021.
In:
Proceedings of the 8th SDS.
8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.
IEEE.
S. 26-31.
Verfügbar unter: https://doi.org/10.1109/SDS51136.2021.00012
-
Amirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter; Schwenker, Friedhelm; Stadelmann, Thilo,
2021.
Two to trust : AutoML for safe modelling and interpretable deep learning for robustness [Paper].
In:
Postproceedings of the 1st TAILOR Workshop on Trustworthy AI at ECAI 2020.
1st TAILOR Workshop on Trustworthy AI at ECAI 2020, Santiago de Compostela, Spain, 29-30 August 2020.
Springer.
Verfügbar unter: https://doi.org/10.21256/zhaw-22061
-
Schilling, Frank-Peter; Stadelmann, Thilo, Hrsg.,
2020.
9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.
Springer.
Lecture Notes in Computer Science ; 12294.
ISBN 978-3-030-58308-8.
Verfügbar unter: https://doi.org/10.1007/978-3-030-58309-5
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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.
Verfügbar unter: https://doi.org/10.21256/zhaw-29047
-
Weng, Joanna; Reif, Monika; Chavarriaga, Ricardo; Schilling, Frank-Peter,
2023.
certAInty : a certification scheme for AI systems (Innosuisse project) [Poster].
In:
Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-27261
-
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
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Stadelmann, Thilo; Schilling, Frank-Peter,
2019.
Deep Learning in medizinischer Diagnostik und Qualitätskontrolle.
Netzwoche.
Verfügbar unter: https://doi.org/10.21256/zhaw-20163
-
Amirian, Mohammadreza; Rombach, Katharina; Tuggener, Lukas; Schilling, Frank-Peter; Stadelmann, Thilo,
2019.
Efficient deep CNNs for cross-modal automated computer vision under time and space constraints [Paper].
In:
ECML-PKDD 2019, Würzburg, Germany, 16-19 September 2019.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-18357
-
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.