Dr. Frank-Peter Schilling

Position at the ZHAW

Senior Scientist
CAI - Centre for Artificial Intelligence
Member of breakout group DIZH fellowships, ZHAW digital
Organiser of the Datalab Seminar
Organisation of the AI conference ANNPR 2020 in Winterthur

https://fpschill.github.io/

Expertise and research interests

Artificial Intelligence, Deep Learning, Physics

Educational background

Doctorate in Physics, University of Heidelberg, 2001
IPMA Certification in Project Management, 2015

Professional milestones

- Senior Scientist, Karlsruhe Institute of Technology KIT & CERN, Geneva
- Research Fellow, CERN, Geneva
- Research Scientist, Deutsches Elektronen-Synchrotron DESY, Hamburg

Membership of networks

• ZHAW Datalab
• Deutsche Physikalische Gesellschaft DPG
• European Physical Society EPS
• Confederation of Laboratories for AI Research in Europe CLAIRE
• European Lab for Learning and Intelligent Systems ELLIS

• AC3T – AI powered CBCT for improved Combination Cancer Therapy / Project leader / Project ongoing
• DIR3CT: Deep Image Reconstruction through X-Ray Projection-based 3D Learning of Computed Tomography Volumes / Project leader / Project ongoing
• Standardized Data and Modeling for AI-based CoVID-19 Diagnosis Support on CT Scans (SDMCT) / Team member / Project completed
• TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization / Team member / Project completed
• RealScore – Scanning of Real-World Sheet Music for a Digital Music Stand / Project co-leader / Project completed
• FWA: Visual Food Waste Analysis for Sustainable Kitchens / Team member / Project completed
• QualitAI - Quality control of industrial products via deep learning on images / Team member / Project completed

• Schilling, Frank-Peter; Flumini, Dandolo; Füchslin, Rudolf Marcel; Gavagnin, Elena; Geller, Armando; Quarteroni, Silvia; Stadelmann, Thilo,

  2022.

  Foundations of Data Science : a comprehensive overview formed at the 1st International Symposium on the Science of Data Science.

  Archives of Data Science, Series A.

  8(2).

  Available from: https://doi.org/10.21256/zhaw-24982

• 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), pp. 510-538.

  Available from: https://doi.org/10.3390/ai1040031

• Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter; Rosenthal, Matthias; Stadelmann, Thilo,

  2021.

  A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications [paper].

  In:

  Proceedings of the 8th SDS.

  8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.

  IEEE.

  pp. 26-31.

  Available from: 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.

  Available from: https://doi.org/10.21256/zhaw-22061

• Schilling, Frank-Peter; Stadelmann, Thilo, eds.,

  2020.

  Artificial neural networks in pattern recognition : proceedings of the 9th IAPR TC3 workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 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.

  Available from: https://doi.org/10.1007/978-3-030-58309-5

• Stadelmann, Thilo; Schilling, Frank-Peter,

  2019.

  Deep Learning in medizinischer Diagnostik und Qualitätskontrolle.

  Netzwoche.

  Available from: 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.

  Available from: https://doi.org/10.21256/zhaw-18357

Google Scholar: scholar.google.com/citations

Selected most important publications:

F.-P. Schilling, “Top Quark Physics at the LHC: A Review of the First Two Years,” Int.J.Mod.Phys. A27 (2012) 1230016, arXiv:1206.4484 [hep-ex].

CMS Collaboration, S. Chatrchyan et al., “Measurement of the mass difference between top quark and antiquark in pp collisions at sqrt(s) = 8 TeV,” Phys. Lett. B770 (2017) 50-71, arXiv:1610.09551 [hep-ex].

CMS Collaboration, S. Chatrchyan et al., “Evidence for the direct decay of the 125 GeV Higgs boson to fermions,” Nature Phys. 10 (2014) 557, arXiv:1401.6527 [hep-ex].

CMS Collaboration, S. Chatrchyan et al., “Search for the standard model Higgs boson produced in association with a W or a Z boson and decaying to bottom quarks,” Phys. Rev. D89 (2014) 012003, arXiv:1310.3687 [hep-ex].

CMS Collaboration, S. Chatrchyan et al., “Observation of a new boson with mass near 125 GeV in pp collisions at sqrt(s) = 7 and 8 TeV,” JHEP 1306 (2013) 081, arXiv:1303.4571 [hep-ex].

CMS Collaboration, S. Chatrchyan et al., “A New Boson with a Mass of 125 GeV Observed with the CMS Experiment at the Large Hadron Collider,” Science 338 (2012) 1569.

CMS Collaboration, S. Chatrchyan et al., “Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC,” Phys.Lett. B716 (2012) 30-61, arXiv:1207.7235 [hep-ex].

CMS Collaboration, S. Chatrchyan et al., "Measurement of the single-top-quark t-channel cross section in pp collisions at sqrt(s) = 7 TeV," JHEP 1212 (2012) 035, arXiv:1209.4533

CMS Collaboration, S. Chatrchyan et al., "Inclusive and differential measurements of the tt charge asymmetry in proton-proton collisions at 7 TeV," Phys.Lett. B717 (2012) 129-150, arXiv:1207.0065

CMS Collaboration, S. Chatrchyan et al., "Measurement of the charge asymmetry in top-quark pair production in proton-proton collisions at sqrt(s) = 7 TeV," Phys.Lett. B709 (2012) 28-49, arXiv:1112.5100

CMS Collaboration, S. Chatrchyan et al., "Measurement of the ttbar Production Cross Section in pp Collisions at 7 TeV in Lepton + Jets Events Using b-quark Jet Identification," Phys.Rev. D84 (2011) 092004, arXiv:1108.3773

CMS Collaboration, S. Chatrchyan et al., "Measurement of the t-channel single top quark production cross section in pp collisions at sqrt(s) = 7 TeV," Phys.Rev.Lett. 107 (2011) 091802, arXiv:1106.3052

CMS Collaboration, S. Chatrchyan et al., "Measurement of the t t-bar production cross section and the top quark mass in the dilepton channel in pp collisions at sqrt(s) =7 TeV," JHEP 07 (2011) 049, arXiv:1105.5661

CMS Collaboration, S. Chatrchyan et al., “Measurement of the Top-antitop Production Cross Section in pp Collisions at sqrt(s)=7 TeV using the Kinematic Properties of Events with Leptons and Jets,” Eur. Phys. J. C71 (2011) 1721, arXiv:1106.0902 [hep-ex].

CMS Collaboration, V. Khachatryan et al., “First Measurement of the Cross Section for Top-Quark Pair Production in Proton-Proton Collisions at sqrt(s)=7 TeV,” Phys.Lett. B695 (2011) 424-443, arXiv:1010.5994 [hep-ex].

CMS Collaboration, S. Chatrchyan et al., “Alignment of the CMS Silicon Tracker during Commissioning with Cosmic Rays,” JINST 5 (2010) T03009, arXiv:0910.2505 [physics.ins-det].

CMS Tracker Collaboration, W. Adam et al., “Alignment of the CMS Silicon Strip Tracker during standalone Commissioning,” JINST 4 (2009) T07001, arXiv:0904.1220 [physics.ins-det].

CMS Tracker Collaboration, W. Adam et al., “The CMS tracker operation and performance at the Magnet Test and Cosmic Challenge,” JINST 3 (2008) P07006.

CMS Collaboration, R. Adolphi et al., “The CMS experiment at the CERN LHC,” JINST 3 (2008) S08004.

CMS Collaboration, G. Bayatian et al., “CMS technical design report, volume II: Physics performance,” J. Phys. G34 (2007) 995-1579.

V. Karimaki, T. Lampen, and F.-P. Schilling, “Track-based alignment of composite detector structures,” IEEE Trans. Nucl. Sci. 53 (2006) 3830-3833.

H1 Collaboration, A. Aktas et al., “Measurement and QCD analysis of the diffractive deep- inelastic scattering cross-section at HERA,” Eur. Phys. J. C48 (2006) 715-748, arXiv:hep-ex/0606004.

H1 Collaboration, A. Aktas et al., “Diffractive deep-inelastic scattering with a leading proton at HERA,” Eur. Phys. J. C48 (2006) 749-766, arXiv:hep-ex/0606003

H1 Collaboration, C. Adloff et al., “Measurement of inclusive jet cross-sections in photoproduction at HERA,” Eur. Phys. J. C29 (2003) 497-513, arXiv:hep-ex/0302034.

H1 Collaboration, A. Aktas et al., "Diffractive photoproduction of J/Psi mesons with large momentum transfer at HERA," Phys. Lett. B568 (2003) 205-218, arXiv:hep-ex/0306013

H1 Collaboration, C. Adloff et al., "Search for odderon-induced contributions to exclusive pi0 photoproduction at HERA," Phys. Lett. B544 (2002) 35-43, arXiv:hep-ex/0206073

H1 Collaboration, C. Adloff et al., "A measurement of the t dependence of the helicity structure of diffractive rho meson electroproduction at HERA," Phys. Lett. B539 (2002) 25-39, arXiv:hep-ex/0203022

28. H1 Collaboration, C. Adloff et al., "Energy flow and rapidity gaps between jets in photoproduction at HERA," Eur. Phys. J. C24 (2002) 517{527, arXiv:hep-ex/0203011

H1 Collaboration, C. Adloff et al., “Diffractive jet production in deep inelastic e+ p collisions at HERA,” Eur. Phys. J. C20 (2001) 29-49, arXiv:hep-ex/0012051.

go back