Dr. Matthias Nyfeler

Dr. Matthias Nyfeler
ZHAW
School of Life Sciences and Facility Management
FG Advanced Signal Analytics
Schloss 1
8820 Wädenswil
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
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