Prof. Dr. Dirk Wilhelm

Work at ZHAW

Position

Dean School of Engineering

Experience

• External Lecturer
  University of Zurich
  2020 - today
• Dean ZHAW School of Engineering
  ZHAW
  2019 - today
• Professor Medical Physics
  ZHAW
  2016 - today
• Head of Departement for Applied Mathematics, Physics, Systems and Operations
  ZHAW
  2013 - 2018
• Head of R&D Department
  Bruker BiosSpin
  2003 - 2013
• Research Engineer
  Alston
  2001 - 2003
• Postdoc
  UC Santa Barbara
  2000 - 2001

Network

ORCID digital identifier

ORCID ID: 0000-0001-5109-9803

Projects

• PhD Program in Data Science / Co-project leader / laufend
• European Conference Series on Artificial Intelligence in Industry and Finance / Team member / laufend
• Machine learning for NMR spectroscopy / Deputy project leader / abgeschlossen
• SCIS Simulation Based Calibration of Infusion Systems / Team member / abgeschlossen
• 3rd European COST Conference on Mathematics for Industry in Switzerland / Team member / abgeschlossen
• PhD Network in Data Science / Project leader / abgeschlossen
• 2nd European COST Conference on Mathematics for Industry in Switzerland / Team member / abgeschlossen
• 1st European COST Conference on Mathematics for Industry in Switzerland / Team member / abgeschlossen
• Development of Ultra-Low-Temperature NMR Probehead for MAS with Computational Fluiddynamic simulations / Project leader / abgeschlossen

Publications

• Hostettler, Marco; Grüter, Raphael; Stingelin, Simon Iwan; De Lorenzi, Flavio; Füchslin, Rudolf Marcel; Jacomet, Cyrill; Koll, Stephan; Wilhelm, Dirk; Boiger, Gernot Kurt,

  2023.

  Modelling of peristaltic pumps with respect to viscoelastic tube material properties and fatigue effects.

  Fluids.

  8(9), pp. 254-269.

  Available from: https://doi.org/10.3390/fluids8090254

• Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G.; Graf, D.; Fey, M.; Henrici, A.; Ziebart, V.; Heitmann, B.; Grabner, H.; Wegner, J.D.; Sigel, R.K.O.; Wilhelm, D.,

  2023.

  Deconvolution of 1D NMR spectra : a deep learning-based approach.

  Journal of Magnetic Resonance.

  347(107357).

  Available from: https://doi.org/10.1016/j.jmr.2022.107357

• Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Caldarelli, Guido; Scarso, Alessandro; Henrici, Andreas; Wilhelm, Dirk,

  2023.

  Automatic classification of signal regions in 1H nuclear magnetic resonance spectra.

  Frontiers in Artificial Intelligence.

  5(1116416).

  Available from: https://doi.org/10.3389/frai.2022.1116416

• Herzog, Nicoleta; Weber, Alexander Séverin; Purea, Armin; Osen, David; Knott, Benno; Engelke, Frank; Wilhelm, Dirk; et al.,

  2022.

  Ultra low temperature microturbine for magic angle spinning system.

  Journal of Fluids Engineering.

  144(8), pp. 081205-1-081205-12.

  Available from: https://doi.org/10.1115/1.4053746

• Herzog, Nicoleta; Wilhelm, Dirk; Koch, Stefan; Purea, Armin; Osen, David; Knott, Benno; Engelke, Frank,

  2016.

  Aerodynamic optimization of a microturbine inserted in a magic-angle spinning system.

  Journal of Fluids Engineering.

  138(12), pp. 121106.

• Cousin, Samuel; Charlier, Cyril; Kadeřávek, Pavel; Marquardsen, Thorsten; Tyburn, Jean-Max; Bovier, Pierre-Alain; Ulzega, Simone; Speck, Thomas; Wilhelm, Dirk; Engelke, Frank; Maas, Werner; Sakellariou, Dimitrios; Bodenhausen, Geoffrey; Pelupessy, Philippe; Ferrage, Fabien,

  2016.

  High-resolution two-field nuclear magnetic resonance spectroscopy.

  Physical Chemistry Chemical Physics.

  18(48), pp. 33187-33194.

  Available from: https://doi.org/10.1039/C6CP05422F

• Wilhelm, Dirk; Purea, Armin; Engelke, Frank,

  2015.

  Fluid flow dynamics in MAS systems.

  Journal of Magnetic Resonance.

  257, pp. 51-63.

  Available from: https://doi.org/10.1016/j.jmr.2015.05.006

• Wilhelm, Dirk; Meiburg, Eckart,

  2004.

  Three-dimensional spectral element simulations of variable density and viscosity, miscible displacements in a capillary tube.

  Computers & Fluids.

  33(3), pp. 485-508.

  Available from: https://doi.org/10.1016/S0045-7930(03)00059-8

• Meiburg, Eckart; Vanaparthy, Surya H.; Payr, Matthias D.; Wilhelm, Dirk,

  2004.

  Density-driven instabilities of variable-viscosity miscible fluids in a capillary tube.

  Annals of the New York Academy of Sciences.

  pp. 383-402.

  Available from: https://doi.org/10.1196/annals.1324.032

• Vanaparthy, Surya Harith; Meiburg, E.; Wilhelm, Dirk,

  2003.

  Density-driven instabilities of miscible fluids in a capillary tube : linear stability analysis.

  Journal of Fluid Mechanics.

  497, pp. 99-121.

  Available from: https://doi.org/10.1017/S0022112003006499

• Wilhelm, Dirk; Härtel, Carlos; Kleiser, Leonhard,

  2003.

  Computational analysis of the two-dimensional–three-dimensional transition in forward-facing step flow.

  Journal of Fluid Mechanics.

  489, pp. 1-27.

  Available from: https://doi.org/10.1017/S0022112003004440

• Jenny, Bettina; Wilhelm, Dirk; Valero-Garcés, Blas Lorenzo,

  2003.

  The southern westerlies in central chile : holocene precipitation estimates based on a water balance model for Laguna Aculeo (33°50′S).

  Climate Dynamics.

  20(2-3), pp. 269-280.

  Available from: https://doi.org/10.1007/s00382-002-0267-3

• Wilhelm, Dirk; Kleiser, L.,

  2002.

  Application of a spectral element method to two-dimensional forward-facing step flow.

  Journal of Scientific Computing.

  17(1-4), pp. 619-627.

  Available from: https://doi.org/10.1023/A:1015178831786

• Kleiser, Leonhard; Wilhelm, Dirk,

  2001.

  Stability analysis for different formulations of the nonlinear term in PN−PN−2 spectral element discretizations of the navier–stokes equations.

  Journal of Computational Physics.

  174(1), pp. 306-326.

  Available from: https://doi.org/10.1006/jcph.2001.6912

• Wilhelm, Dirk; Kleiser, Leonhard,

  2000.

  Stable and unstable formulations of the convection operator in spectral element simulations.

  Applied Numerical Mathematics.

  33(1-4), pp. 275-280.

  Available from: https://doi.org/10.1016/S0168-9274(99)00093-8

• Wilhelm, Dirk; Härtel, Carlos; Eckelmann, Helmut,

  1998.

  On the relation between fronts and high-shear layers in wall turbulence.

  Flow, Turbulence and Combustion.

  60(1), pp. 87-103.

  Available from: https://doi.org/10.1023/A:1009952224076

• Wilhelm, Dirk,

  2000.

  Numerical investigation of three-dimensional separation in a forward-facing step flow using a spectral element method.

  ETH Zürich.

  Fortschritt-Bericht ; 7.

  Available from: https://doi.org/10.3929/ethz-a-004037003

• Schmid, Nicolas; Wanner, Marc; Fischetti, Giulia; Meshkian, Mohsen; Bruderer, Simon; Henrici, Andreas; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk,

  2024.

  Automated spin system analysis in NMR spectroscopy with SpinDETR : a deep learning approach [poster].

  In:

  Datalab-Symposium, Winterthur, Schweiz, 12. September 2024.

  Winterthur:

  ZHAW Zurich University of Applied Sciences.

  Available from: https://doi.org/10.21256/zhaw-31443

• Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Henrici, Andreas; Heitmann, Björn; Scarso, Alessandro; Caldarelli, Guido; Wilhelm, Dirk,

  2024.

  MuSe Net: a deep learning framework for trustworthy multiplet segmentation in 1D 1H NMR spectra [poster].

  In:

  Datalab-Symposium, Winterthur, Schweiz, 12. September 2024.

  Winterthur:

  ZHAW Zurich University of Applied Sciences.

  Available from: https://doi.org/10.21256/zhaw-31444

• Schmid, Nicolas; Wanner, Marc; Fischetti, Giulia; Meshkian, Mohsen; Bruderer, Simon; Henrici, Andreas; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Bjoern; Wilhelm, Dirk,

  2024.

  Automated spin system analysis in NMR spectroscopy with SpinDETR : a deep learning approach [poster].

  In:

  20th European Magnetic Resonance Congress (EUROMAR), Bilbao, Spain, 30 June - 4 July 2024.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-31101

• Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Henrici, Andreas; Heitmann, Bjoern; Scarso, Alessandro; Caldarelli, Guido; Wilhelm, Dirk,

  2024.

  MuSe Net : a deep learning framework for trustworthy multiplet segmentation in 1D 1H NMR spectra [poster].

  In:

  20th European Magnetic Resonance Congress (EUROMAR), Bilbao, Spain, 30 June - 4 July 2024.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-31102

• Schmid, Nicolas; Fischetti, Giulia; Henrici, Andreas; Wilhelm, Dirk; Wanner, Marc; Meshkian, Mohsen; Bruderer, Simon; Wegner, Jan-Dirk; Sigel, Roland K. O.; Heitmann, Bjoern; Konukoglu, Ender,

  2023.

  Transforming NMR spectroscopy : extraction of multiplet parameters with deep learning [poster].

  In:

  Prisner, Thomas, ed.,

  Euromar 2022 Abstractbook.

  European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  pp. 291.

  Available from: https://doi.org/10.21256/zhaw-29510

• Fischetti, Giulia; Schmid, Nicolas; Henrici, Andreas; Wilhelm, Dirk; Bruderer, Simon; Heitmann, Bjoern; Scarso, Alessandro; Caldarelli, Guido,

  2023.

  Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectra [poster].

  In:

  Prisner, Thomas, ed.,

  Euromar 2023 Programme & Abstract Book.

  European Conference on Magnetic Resonance (EUROMAR), Glasgow, United Kingdom, 9-13 July 2023.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  pp. 350.

  Available from: https://doi.org/10.21256/zhaw-29538

• Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Ziebart, Volker; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk,

  2023.

  Deconvolution of NMR spectra : a deep learning-based approach [poster].

  In:

  Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-27429

• Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Scarso, Alessandro; Caldarelli, Guido; Heitmann, Björn; Wilhelm, Dirk,

  2022.

  A deep ensemble learning method for automatic classification of multiplets in 1D NMR spectra [poster].

  In:

  Prisner, Thomas, ed.,

  EUROMAR 2022 Abstractbook.

  European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  pp. 236.

  Available from: https://doi.org/10.21256/zhaw-27328

• Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Björn; Wilhelm, Dirk,

  2022.

  Deconvolution of NMR spectra : a deep learning-based approach [poster].

  In:

  Prisner, Thomas, ed.,

  EUROMAR 2022 Abstractbook.

  European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  pp. 242.

  Available from: https://doi.org/10.21256/zhaw-27336

• Henrici, Andreas; Schwendner, Peter; Deflorin, Patricia; Wilhelm, Dirk; Füchslin, Rudolf Marcel, eds.,

  2023.

  Artificial Intelligence in Finance and Industry : Volume II - Highlights from the 7th European Conference.

  7th European COST Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland, 28 September 2022.

  Frontiers Research Foundation.

  .

  Available from: https://www.frontiersin.org/research-topics/38909/

• Deflorin, Patricia; Füchslin, Rudolf Marcel; Henrici, Andreas; Osterrieder, Joerg; Schwendner, Peter; Wilhelm, Dirk, eds.,

  2022.

  Artificial Intelligence in Finance and Industry : highlights from 6 European COST conferences.

  5th European COST Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland (online), 3 September 2020.

  Frontiers Research Foundation.

  .

  Available from: https://www.frontiersin.org/research-topics/18514/

• Dep, Rajdeep; Meier, Beat; Jenny, Patrick; Wilhelm, Dirk,

  2019.

  Stability analysis of gas bearing in Magic Angle Spinning (MAS) systems [poster].

  In:

  3rd Gas Bearing Workshop, Düsseldorf, Germany, 25 March 2019.

  VDE/VDI-Gesellschaft Mikroelektronik Mikrosystem- und Feinwerktechnik.

• Wilhelm, Dirk,

  2015.

  Fluid flow dynamics in a Nuclear Magnetic Resonance system.

  Atlas of Science.

  Available from: http://atlasofscience.org/fluid-flow-dynamics/

• Wilhelm, Dirk,

  2015.

  Rotating flow simulations with OpenFOAM.

  International Journal of Aeronautical Science & Aerospace Research.

  S1:001.

  Available from: https://doi.org/10.21256/zhaw-1441

• Hostettler, Marco; Stingelin, Simon; De Lorenzi, Flavio; Füchslin, Rudolf Marcel; Jacomet, Cyrill; Koll, Stephan; Wilhelm, Dirk; Boiger, Gernot,

  2022.

  Modelling of peristaltic pumps for viscoelastic tube material properties under consideration of fatigue effects.

  In:

  Multiphysics 2022.

  International Conference of Multiphysics, Oslo, Norway, 15-16 December 2022.

  International Society of Multiphysics.

  pp. 33.

  Available from: https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf

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