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Dr. Federico Wadehn

Dr. Federico Wadehn

Dr. Federico Wadehn

ZHAW School of Engineering
Institute of Signal Processing and Wireless Communications
Technikumstrasse 71
8400 Winterthur

+41 (0) 58 934 44 12
federico.wadehn@zhaw.ch

Work at ZHAW

Position

Senior lecturer for digital signal and image processing

Focus

  • Digital signal processing with classical as well as machine and deep learning methods
  • Digital image processing and computer vision
  • Sensorfusion und Kalman Filtering (MEMS inertial sensing, motion capture and analysis)
  • Statistical estimation with probabilistic graphical models (factor graphs, Bayesian networks, ...).
  • Modeling and system identification of physiological systems (respiratory, cerebrovascular system, ... ).

Teaching

  • Digital Signal Processing 1 & 2
  • Digital Image Processing
  • Signals and Systems
  • Supervision of bachelor- und master theses

Experience

  • Systems engineer for inertial sensing
    Bosch Sensortec GmbH, Reutlingen, Germany
    09 / 2021 - 08 / 2023
  • Freelancer in computer vision
    Fotostiftung Graubünden
    01 / 2021 - 09 / 2021
  • Research engineer in mechanical ventilation
    Hamilton Medical AG, Bonaduz, Switzerland
    01 / 2019 - 09 / 2021
  • Intern quantitative finance
    Limmat Capital Alternative Investments AG, Zürich, Switzerland
    02 / 2018 - 05 / 2018
  • Intern bioinformatics (PBPK blood glucose modelling)
    Bayer AG, Leverkusen, Germany
    06 / 2013 - 02 / 2014
  • Teaching assistant (computer science and math)
    ETH Zürich
    02 / 2010 - 09 / 2012

Education and Continuing education

Education

  • PhD / Statistical signal processing with probabilistic graphical models
    ETH Zürich
    02 / 2014 - 12 / 2018
  • Teaching certificate / Didactics
    ETH Zürich and ZHAW
    09 / 2017 - 11 / 2018
  • Visiting Researcher / Neuromonitoring (transcranial Doppler, intracranial pressure estimation)
    Massachusetts Institute of Technology
    02 / 2016 - 07 / 2016
  • BSc and MSc / Electrical engineering and information technology
    ETH Zürich
    09 / 2009 - 02 / 2014
  • Erasmus exchange programme / Control engineering and mathematical optimization
    Imperial College London, UK.
    09 / 2012 - 06 / 2013

Continuing Education

  • MATLAB C Coder training
    MathWorks
    01 / 2023
  • Embedded C training
    Doulos
    02 / 2021
  • IBM Rational Rhapsody training in C++
    Evocean Group
    01 / 2020

Network

Membership of networks

  • ZHAW Digital Health Lab
  • Medical Systems platform ZHAW School of Engineering

Awards

  • Study and doctoral scholarship
    German Academic Scholarship Foundation
    02 / 2014
  • Abiturpreis Physik
    Deutsche Physikalische Gesellschaft
    07 / 2008

Publications before appointment at the 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.
  • 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.

Other publications

  • "Ventilation device and method with spontaneous breathing phases", Federico Wadehn, Johannes Meyer, Alessandro Beda, Thomas Laubscher, Dominik Novotni. 05.04.2022, DE102022108124A1.
  • "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, EP4288133A1.