Federico Wadehn

Dr. Federico Wadehn is a Senior Lecturer at the Institute of Signal Processing and Wireless Communications within the School of Engineering at Zurich University of Applied Sciences (ZHAW), specializing in digital signal/image processing and machine learning applications for biomedical and engineering systems. His role includes teaching core courses and supervising graduate theses.

Education:

• PhD in Statistical Signal Processing with Probabilistic Graphical Models, ETH Zürich (2014-2018)
• Teaching Certificate, ETH Zürich and ZHAW (2017-2018)
• Visiting Researcher in Neuromonitoring, MIT (2016)
• MSc/BSc in Electrical Engineering and Information Technology, ETH Zürich (2009-2014)
• Erasmus Exchange in Control Engineering, Imperial College London (2012-2013)
• Continuing Education: MATLAB C Coder (2023), Embedded C (2021), IBM Rational Rhapsody (2020)

Research Interests: His work bridges Digital Signal Processing (classical, ML, and deep learning), Computer Vision, Sensor Fusion/Kalman Filtering for inertial systems, Probabilistic Graphical Models for navigation, and Physiological System Modeling (respiratory/cerebrovascular). He emphasizes model-based approaches for real-world biomedical applications, particularly in neuromonitoring and respiratory care.

Publication Trends: His 2015-2020 publications reveal a consistent focus on advanced signal processing for physiological monitoring, featuring model-based separation of biological signals (eye movements, blood flow), sparse state-space modeling, and Kalman smoothing innovations. The work integrates probabilistic graphical models with biomedical constraints, demonstrating strong cross-disciplinary impact in IEEE journals and conferences.

Scientific Awards:

• Study and doctoral scholarship from German Academic Scholarship Foundation (2014)
• Abiturpreis Physik from Deutsche Physikalische Gesellschaft (2008)

Advising and Professional Activities: He supervises bachelor's/master's theses at ZHAW while maintaining industry connections through prior roles as Systems Engineer at Bosch Sensortec (2021-2023), Research Engineer at Hamilton Medical AG (2019-2021), and Computer Vision Freelancer (2021). His dual academic-industry experience informs practical curriculum development.

Laboratories and Teams: He contributes to ZHAW's Digital Health Lab and Medical Systems Platform, focusing on translating signal processing innovations into clinical tools for respiratory monitoring and motion analysis, with recent patent work in ventilation technology.