Valentina Casadei, Eng, is a postdoctoral researcher at the Centre for Elderly and Nursing Home Medicine (SEFAS) at the University of Bergen, Norway, where her research centers on developing models to identify Digital Phenotyping of dementia and quantifying the associated uncertainties. As part of the DARK.DEM project, her work evaluates the feasibility of wearable devices for clinical applications in dementia care.

She earned B.Sc. and M.Sc. from Universita' Politecnica delle Marche and her PhD in Electrical Engineering and Electronics from the University of Liverpool, UK. Her interdisciplinary doctoral research, conducted in collaboration with the Psychology Department and Alder Hey Children's Hospital, focused on enhancing the accuracy of biomedical measurements from wearable devices through advanced uncertainty analysis and model development for fatigue assessment in acquired brain-injured children.

She is also an IEEE member since 2018 (Engineering in Medicine and Biology Society since 2019 and Instrumentation and Measurement Society since 2020, Consumer Technology Society since 2025), and she currently serves as Vice-Chair of the IEEE EMBS Norway Section Chapter.

Invited Speaker

• 2025 - Neuro-SysMed Seminars "Tech-care: wearable sensor technologies to enhance understanding of symptoms, behavior and response to treatment"
• 2025 - Neuro-SysMed Junior Seminars "Wearable Devices in the DARK.DEM Trial: Implication of Measurement Accuracy"

• Demonstrator (teaching assistant) for Signals and Systems, Robotics, and MATLAB in the Electrical and Electronics Engineering Department at the University of Liverpool
• Currently, she is co-supervising and mentoring two PhD student within the DARK.DEM project

• (2020) Ferracuti Francesco, Casadei Valentina, Marcantoni Ilaria, Iarlori Sabrina, Burattini Laura, Monteriu Andrea, Porcaro Camillo, ”A functional source separation algorithm to enhance error-related potentials monitoring in the noninvasive brain-computer interface”
   
• (2020) V. Casadei, R. Ferrero, and C. Brown, "Model-Based Filtering of EEG Alpha Waves for Enhanced Accuracy in Dynamic Conditions and Artifact Detection," 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Dubrovnik, Croatia.
   
• (2022) - V. Casadei and R. Ferrero, "Online Skin-Electrode Contact
  Quality Monitoring in Wearable Devices: An EEG Application," 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Ottawa, ON, Canada.
   
• (2023) - V. Casadei and R. Ferrero, "Model-Based Fitting of EEG Signals With Uncertainty Quantification for Robust Alpha Wave Identification," in IEEE Transactions on Instrumentation and Measurement.
   
• (2025) - V.Casadei, L.I. Berge, S.V. Skagen, M. Patrascu, "System-Based Modeling of Respiratory Rate from PPG: A Preliminary Investigation", IEEE Medical Measurements and Applications (MeMeA 2025), Chania, Greece.

• University of Liverpool - Programming of an accelerometer using Arduino for confidential biomedical application. Funded project.
• University of Liverpool - Development of a proof-of-concept prototype for automated measurement of thin liquid film drying rates using weight difference during evaporation. Founded project
• University of Liverpool - Development of  an interface for students using LabVIEW  for the Signal and Systems module at the Department of Electrical Engineering and Electronics