Sadaf Moaveninejad received her Ph.D. in Telecommunication Engineering from Politecnico di Milano in 2019 and her M.Sc. in Electronic Engineering from Politecnico di Torino in 2015. She completed her M.Sc. thesis at the Fraunhofer Institute for Embedded Systems and Communications (ESK) in Munich, Germany. She worked as a research assistant in the Department of Computer Science at the Free University of Bolzano (2020–2021). In 2022, she moved to the University of Padova and is now a research assistant in the Department of Neuroscience. Her research topics mainly include machine learning, brain signal analysis, artificial intelligence, brain–computer interfaces, and the fractal dimension of brain signals.

Andrea Janes is an associate professor at the Free University of Bozen/Bolzano. He was previously a senior lecturer and researcher at the FHV Vorarlberg University of Applied Sciences in Dornbirn, Austria, and a researcher at the Free University of Bozen/Bolzano, Italy. He holds a Master's degree in Business Informatics from the Vienna University of Technology and a PhD in Computer Science (with honors) from the University of Klagenfurt, Austria. He obtained a habilitation in Computer Science and Information processing systems He is particularly interested in Lean and Agile approaches to software engineering, value-based software engineering, empirical software engineering, software testing, and technology transfer.

Camillo Porcaro is a Professor at the Department of Neuroscience (DNS) at Padua University. He completed his PhD in Functional Neuroimaging: from Cells to Systems at the Institute for Advanced Biomedical Technologies (ITAB), Chieti-Pescara University, Italy (with honors). He recently led the project The DARK side of cortical Slow waves: neurophysiologiCAl mechaNisms of NEtwoRk disconnection in focal lesions –DARKSCANNER [PRIN Codice MUR 20228ARNXS]. He has published over 100 papers in various journals and is an Associate Editor for different scientific journals. He is also a Bioengineering National (Italian) Group member and IEEE Senior Member. His teaching disciplines include Neurophysiopathology and Biomedical Technology and Instrumentation and his interests include MEG-EEG/fMRI integration, Resting State Networks (RSNs), brain–machine interface—BMI, functional and effective connectivity, fractal dimension analysis, and neurodegenerative pathologies.