Rate My Professor E Wilhelm

Her research focuses on robotics for rehabilitation and assistive devices, artificial sensory stimulation, real-time bio-feedback, and human-machine interaction, particularly aiding individuals with neurological diseases and sleep disorders. Wilhelm combines microtechnology with robotics and artificial intelligence, emphasizing advanced bio-signal processing and machine learning techniques to enable closed-loop interactions where robots respond to the user's physiological state. She has authored numerous publications, including "Boosted output of flexible PANI@BTO/PVDF–TrFE piezoelectric nanogenerators for self-powered multifunctional sensing in wearable systems" (Chemical Engineering Journal, 2026), "Age-related gait patterns classification using deep learning based on time-series data from one accelerometer" (Biomedical Signal Processing and Control, 2025), "Continuous Glucose Measurements for Diet Monitoring in Healthy Adults" (Journal of Diabetes Science and Technology, 2025), and "Phase change materials in microactuators: Basics, applications and perspectives" (Sensors and Actuators A: Physical, 2018). Among her honors are the Internationale Forschungspreis zum Primären Schnarchen (2018), DAAD Fellowship for Postdoctoral Researchers (2016), and Deutscher Studienpreis der Körberstiftung for her PhD thesis (2016). She is a member of the scientific advisory board for EMMA, a guest researcher at ETH Zurich's Sensory-Motor Systems lab, and has contributed as a panel member for the Fundação para a Ciência e a Tecnologia (2022) and reviewer for the Velux Foundation (2020).