Dr. Matthias Nyfeler

Personal profile

Management role

• Programme Director, MSc specialisation in Applied Computational MSc specialisation in Applied Computational Life Sciences
• Head of Research/Focus Area, Advanced Signal Analytics
• Head, statistical consulting

Position at the ZHAW

Lecturer in Physics and Statistics
Program director MSc specialisation in Applied Computational Life Sciences
Head of IAS statistical consulting
Physical Computing
Head of Research Group Advance Signal Analytics

www.zhaw.ch/cls/master

Expertise and research interests

Deep Learning Classification of Drone Radio Signals
Statistics
Physical Computing

Educational background

2001-2006 Master of Science in Physics, Albert Einstein Center for Fundamental Physics, University of Bern
2006-2009 Ph.D. (Theoretical Physics) Albert Einstein Center for Fundamental Physics, University of Bern
2010-2011 Studies in Secondary and Higher Education, PHBern, Teaching Diploma for Physics und Mathematics
2017 Hochschuldidaktik, School of Engineering, Jönköping University, Schweden

Professional milestones

2005-2009 Scientific Assistant, Albert Einstein Center for Fundamental Physics, University of Bern
2010-2016 High School Teacher in Physics and Mathematics, Collège St. Michel Fribourg, Kantonsschule Olten, Kantonsschule Alpenquai Luzern
2016-2017 Lecturer in Physics and Mathematics, School of Engineering, Jönköping University, Sweden
since 2018 Lecturer in Physics and Statistics, ZHAW Wädenswil

Membership of networks

• Digital Futures Lab
• Centre of Cognitive Computing in Life Sciences

Projects

• Drone Alarm / Project leader / Project completed
• Transformer Networks for Drone Signals / Project leader / Project completed
• Classification of drone signals / Project leader / Project completed
• Detection of drone signals / Project leader / Project completed

Publications

• Pedan, Vasilisa; Popp, Martin; Rohn, Sascha; Nyfeler, Matthias; Bongartz, Annette,

  2019.

  Characterization of phenolic compounds and their contribution to sensory properties of olive oil.

  Molecules.

  24(11), pp. 2041.

  Available from: https://doi.org/10.3390/molecules24112041

• Horn, Claus; Nyfeler, Matthias; Müller, Georg; Schüpbach, Christof,

  2022.

  Drone radio signal detection with multi-timescale deep neural networks [paper].

  In:

  Yurish, Sergey Y., ed.,

  Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence.

  4th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), Corfu, Greece, 19-21 October 2022.

  IFSA Publishing.

  pp. 140-143.

  Available from: https://doi.org/10.21256/zhaw-27185

Publications before appointment at the ZHAW

Nested Cluster Algorithm for Frustrated Quantum Antiferromagnets, M. Nyfeler, F.-J. Jiang, F. Kampfer, U.-J. Wiese, Phys. Rev. Lett. 100, 247206 (2008)

Loop-Cluster Simulation of the t-J Model on the Honeycomb Lattice, F.-J. Jiang, F. Kämpfer, M. Nyfeler, U.-J. Wiese, Phys. Rev. B 78, 214406 (2008)

Constraint Effective Potential of the Staggered Magnetization in an Antiferromagnet, U. Gerber, C. P. Hofmann, F.-J. Jiang, M. Nyfeler, U.-J. Wiese, J. Stat. Mech. (2009) P03021

From an Antiferromagnet to a Valence Bond Solid: Evidence for a First Order Phase Transition, F.-J. Jiang, M. Nyfeler, S. Chandrasekharan, U.-J. Wiese, J. Stat. Mech. (2008) P02009

Monte Carlo Determination of the Low-Energy Constants of a Spin 1/2 Heisenberg Model with Spatial Anisotropy, F. J. Jiang, F. Kämpfer, M. Nyfeler, Phys. Rev. B 80, 033104 (2009)

A new efficient cluster algorithm for the Ising model, M. Nyfeler, M. Pepe and U. J. Wiese, PoS LAT2005 (2006) 112

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