Dr. Federico Wadehn

Arbeit an der ZHAW

Tätigkeit

Dozent für Signal- und Bildverarbeitung

Lehrtätigkeit

• Signale und Systeme
• Bildverarbeitung

Aus- und Weiterbildung

Arbeits- und Forschungsschwerpunkte

Signalverarbeitung, Machine Learning, Physiologische Modellierung und Bildverarbeitung.

Berufserfahrung

• Systemingenieur
  Bosch Sensortec GmbH, Reutlingen, Deutschland
  09 / 2021 - 08 / 2023
• Forschungsingenieur
  Hamilton Medical AG, Bonaduz, Schweiz
  01 / 2019 - 09 / 2021
• Praktikant Quantitative Finance
  Limmat Capital, Zürich, Schweiz
  02 / 2018 - 05 / 2018
• Praktikum Bioinformatik / System Biologie
  Bayer AG, Leverkusen, Deutschland
  06 / 2013 - 02 / 2014

Ausbildung

• Doktorat / Signalverarbeitung
  ETH Zürich
  02 / 2014 - 01 / 2019
• Didaktikzertifikat / Didaktik und Elektrotechnik
  ETH Zürich und ZHAW
  09 / 2017 - 01 / 2019
• Visiting Researcher / Biomedical engineering
  Massachusetts Institute of Technology
  02 / 2016 - 07 / 2016
• BSc and MSc / Elektrotechnik und Informationstechnologie
  ETH Zürich
  09 / 2012 - 02 / 2014
• Erasmus Exchange Year / Control Engineering
  Imperial College London, UK.
  09 / 2012 - 06 / 2013

Weiterbildung

• MATLAB C Coder Training
  MathWorks
  01 / 2023
• Embedded C Training
  Doulos
  02 / 2021

Publikationen vor Tätigkeit an der ZHAW

F. Wadehn, T. Weber, D. J. Mack, T. Heldt and H.-A. Loeliger, "Model-Based Separation, Detection, and Classification of Eye Movements," in IEEE Transactions on Biomedical Engineering, Feb. 2020.

F. Wadehn and T. Heldt, "Adaptive Maximal Blood Flow Velocity Estimation From Transcranial Doppler Echos," in IEEE Journal of Translational Engineering in Health and Medicine, July 2020.

F. Wadehn, T. Weber and H.-A. Loeliger, "State Space Models with Dynamical and Sparse Variances, and Inference by EM Message Passing," European Signal Processing Conference (Eusipco), 2019.

H.-A. Loeliger, B. Ma, H. Malmberg and F. Wadehn, "Factor Graphs with NUV Priors and Iteratively Reweighted Descent for Sparse Least Squares and More," International Symposium on Turbo Codes & Iterative Information Processing (ISTC), 2018.

F. Wadehn, L. Bruderer, V. Sahdeva and H.-A. Loeliger, "New square-root and diagonalized Kalman smoothers," Annual Allerton Conference on Communication, Control, and Computing, 2016.

F. Wadehn, L. Bruderer, J. Dauwels, V. Sahdeva, H. Yu and H.-A. Loeliger, "Outlier-insensitive Kalman smoothing and marginal message passing," European Signal Processing Conference (Eusipco), 2016.

H.-A. Loeliger, L. Bruderer, H. Malmberg, F. Wadehn and N. Zalmai, "On sparsity by NUV-EM, Gaussian message passing, and Kalman smoothing," Information Theory and Applications Workshop (ITA), 2016.

F. Wadehn, Y. Zhao and H.-A. Loeliger, "Heart rate estimation in photoplethysmogram signals using nonlinear model-based preprocessing," Computing in Cardiology Conference (CinC), 2015.

F. Wadehn, D. Carnal and H.-A. Loeliger, "Estimation of heart rate and heart rate variability from pulse oximeter recordings using localized model fitting," Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015.

PATENTE

Method and ventilation apparatus for determining a respiratory-gas content in a respiratory tract during artificial ventilation, Alessandro Beda, Federico Wadehn, Johannes Meyer, Dominik Novotni, 07.02.2022, WO2022167638A1.

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