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Enzo Pasquale Scilingo, Ph.D. is an Associate Professor in Electronic and Information Bioengineering at the University of Pisa. He received the Laurea Degree in Electronic Engineering from the University of Pisa, Italy and the Ph.D.degree in Bioengineering from the University of Milan, in 1995 and 1998 respectively. For two years he was postdoctoral fellow with the Italian National Research Council and for two years post-doctoral fellow at Information Engineering Department of the University of Pisa. Currently, he is pursuing his research work mainly at the Research Center “E. Piaggio”. He has several teaching activities, he is supervisor of several PhD students and he is leading the laboratory Biolab at the Information Engineering Department . He coordinated a European project EC-FP7-ICT-247777 “PSYCHE-Personalised monitoring SYstems for Care in mental Health”, and he is currently coordinating the European project H2020-PHC-2015-689691 NEVERMIND - NEurobehavioural predictiVE and peRsonalised Modelling of depressIve symptoms duriNg primary somatic Diseases with ICT-enabled self-management procedures. Currently he is also involved as WP leader in the European project EC-FP7-ICT-601165 “WEARHAP – WEARable HAPtics for humans and robots”. His main research interests are in wearable monitoring systems, human-computer interfaces, biomedical and biomechanical signal processing, modelling, control and instrumentation. He is author of more than 150 papers on peer-review journals, contributions to international conferences and chapters in international books. He is co-author of the book “Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition – Significant Advances in Data Acquisition, Signal Processing and Classification” edited by Springer in 2014. He is currently serving as reviewer to many international journals and as member of Program and Scientific Committees of yearly international conferences. He is guest associate editor of Frontiers in Neuroengineering journal, guest editor of the Journal of Biomedical and Health Informatics, special issue on Sensor Informatics for Managing Mental Health, 2015, and associate editor of ETRI Journal,  Electronics, and Complexity journal.

Alberto Greco, Ph.D., is currently a Research Fellow of Bioengineering at the University of Pisa, Italy. 

He received his master degree in Biomedical Engineering in 2010 and the Ph.D. degree in Automation, Robotics, and Bioengineering in 2015 from the University of Pisa (Italy) with a thesis about the processing and the modelling of the electrodermal activity.

In 2014, He has been a Visiting Fellow at the School of Computer Science and Electronic Engineering at the University of Essex, U.K. where He deeply studied convex optimization methods applied to physiological signal modelling.

His research interests include statistical biomedical signal processing, machine learning, physiological modelling, wearable systems for physiological monitoring, and eye-tracking systems. Applications include the assessment of the autonomic nervous system and central nervous system, affective computing and the assessment of mood and consciousness disorders. He is author of several international scientific contributions in these fields published in peer-reviewed international journals, conference proceedings, and book. He has been involved in several European research projects

Gaetano Valenza, Ph.D., is currently an Assistant Professor of Bioengineering at the University of Pisa, Pisa, Italy. In 2009, he started working at the Bioengineering and Robotics Research Centre “E. Piaggio” in Pisa and, in 2011, He joined the Neuro-Cardiovascular Signal Processing unit within the Neuroscience Statistics Research Laboratory at Massachusetts Institute of Technology, Cambridge, USA. In 2013, He received the Ph.D. degree in Automation, Robotics, and Bioengineering from the University of Pisa and, in the same year, was appointed as a Research Fellow at Harvard Medical School/ Massachusetts General Hospital, Boston, USA.

His research interests include statistical and nonlinear biomedical signal and image processing, cardiovascular and neural modelling, and wearable systems for physiological monitoring. Applications of his research include the assessment of autonomic nervous system activity on cardiovascular control, brain-heart interactions, affective computing, assessment of mood and mental/neurological disorders. He is author of more than 100 international scientific contributions in these fields published in peer-reviewed international journals, conference proceedings, books and book chapters, and is official reviewer of more than sixty international scientific journals, and research funding agencies. He has been involved in several international research projects, and currently is the scientific co-coordinator of the European collaborative project H2020-PHC-2015-689691-NEVERMIND. Dr. Valenza has been guest editor and member of the editorial board of several international scientific journals.

Antonio Lanatà PhD, graduated in Electronic Engineering (2001). He received the Ph.D degree in Automation, Robotics and Bioengineering at the University of Pisa (2006), with the development of innovative wearable Ultrasound/UWB systems for cardiopulmonary investigation. His research activity is mainly focused on bioengineering field, in a multidisciplinary scenario involving electronics, medicine, neurosciences, statistics as well as signal processing, data mining and pattern recognition. Currently, he has extended his interests in the investigation of the affective states and its variations in both healthy and subjects suffering from behavioral, mental and consciousness disorders.

He has been involved on several European funded Projects in both FP7 and H2020 program. He has published numerous articles in peer-reviewed international scientific journals and author of several chapters of books.

Laura Maley has a Bachelors degree in the Arts with a specialization in Business Administration. She is an expert in management of EU funded research projects, personnel management and general MBE, working at the E. Piaggio Center since 2004 managing EU-funded projects as well as general administration at the University and Department levels. Laura is General Manager of qbrobotics srl. She is also contributing to administrative orders and the business plan.

Nicola Vanello, PhD, is an Assistant Professor in the Dipartimento di Ingegneria dell’Informazione and in the Research Center “E. Piaggio” at the University of Pisa. He received his Degree in Electronic Engineering, with a curriculum in Biomedical Engineering, in 2001 from the University of Pisa, Italy. He received his PhD in Automatics, Robotics and Bioengineering from the Department of Electrical Systems and Automation of University of Pisa, on 2006. His research activity is related to models and methods for biomedical signal and image processing, with special focus in the field of Magnetic Resonance Imaging. In particular, his skills concern the design of experimental paradigms for the study of cerebral functions in complex cognitive tasks, and the development of exploratory and confirmatory models for fMRI data analysis.  He collaborated in studies on multimodal perception and brain disorders (e.g. anxiety and social phobia) with fMRI and EEG. His research interests include methods for the integration of fMRI and EEG data, both with correlation approaches and with source analysis methods. He worked on fMRI compatibility of mechatronic devices with the aim of stimulating subjects under investigations, in a controlled and reproducible fashion. He has collaborated on a clinical program for surgical planning of head diseases by means of fMRI, and he is currently involved on a research project for the study of brain functions in chronic heart failure patients. He is author of several papers, contributions to international conferences and chapters in international books.