Forskergrupper
Forskning
Valentina Casadei, Eng., earned her PhD in Electrical Engineering and Electronics from the University of Liverpool, UK. Her interdisciplinary 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 clinical use.
Currently, she is a postdoctoral researcher at the Centre for Elderly and Nursing Home Medicine (SEFAS) at the University of Bergen, Norway, involved in the DARK.DEM project. Her research focuses on developing models to identify biomarkers of symptoms in individuals with dementia and quantifying their associated uncertainties. This research aims to evaluate the feasibility of wearable devices for clinical applications.
She is IEEE member since 2018 (Engineering in Medicine and Biology society since 2019 and Instrumentation and Measurement since 2020). She is currently Vice-Chair of the IEEE EMBS Norway Section Chapter.
Undervisning
During her PhD, she served as a demonstrator (teaching assistant) in the Electrical and Electronics Engineering Department at the University of Liverpool, teaching modules in Signals and Systems, Robotics, and MATLAB for several consecutive years.
Currently, she is co-supervising two PhD students within the DARK.DEM project
Publikasjoner
- (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.