UNIPD is one of Europe’s oldest and most prestigious seats of learning, with more than 2,000 professors, 58,000 students, and about 12,300 graduates/year. Currently, UNIPD manages around 100 European research projects, and most of them are funded within Horizon 2020. The Department of Information Engineering (DEI) at UNIPD is a leading centre for education, research and technological development in the area of electronics, quantum physics, automatic control, photonics, telecommunications, computer science, instrumentation and measurement, operation research and bioengineering. DEI is not only one of the biggest (100 faculty members, 37 staff members, 160 PhD students and post-docs, 3,300 students), but also one of the most active in research (562 publications only in 2016, 29 patents in the last 10 years) among the 32 departments of UNIPD and one of the highest earners of research income (5.4 million of Euros only in 2017). At present time (2018), 20 EU projects are active at DEI in the various research areas (2 in the Bioengineering area). According to the VQR ranking by the Italian Ministry of Education and University for the period 2011-2014, research activities in Industrial and Information Engineering carried out at UNIPD, and thus at DEI, are #1 in Italy (same position obtained also in a previous evaluation made for 2004-2010). UNIPD will be responsible for the in-silico model of the T1D patients, whose core is the so-called UVA/Padova dynamic model of T1D physiology. This model, already well-established in the literature, will be developed further within the WP5 activities with the aim of improving its ability to describe data in the hypoglycemic region. In particular, UNIPD will focus in improving the model of T1D patient behavior in making treatment decisions by taking advantage of the datasets gathered in the project. UNIPD will lead the validation of this improved model to show its value as research tool and outcome measure for hypoglycaemia. Furthermore, UNIPD will lead the in-silico investigation on how much hypoglycaemia frequency and duration is influenced by patient behavioral factors.

Dr Giovanni Sparacino

received the Ph.D. degree in Biomedical Engineering from the Polytechnic of Milan in 1996. From 1997 to 1998 he was Research Engineer at the UNIPD Faculty of Medicine, from 1999 to 2004 he was Assistant Professor at the Faculty of Engineering. Since 2005, he is Associate Professor of Biomedical Engineering at DEI, where he is in charge of teaching “Medical Informatics” and “Biological Data Analysis”, both for the MSc Degree in Bioengineering. At the time of writing, Dr. Sparacino also serves as Vice-director of the PhD Course in Information Engineering (and Coordinator of its Bioengineering track). His research expertise is on deconvolution and parameter estimation techniques for the study of physiological systems, linear and nonlinear biological time-series analysis, biological data modeling, EEG and fNIRS signal processing, algorithms for continuous glucose monitoring sensors (calibration, denoising and prediction). According to Scopus, he authored 97 journal papers and 9 international patent applications (H-index: 26). Personal homepage: http://www.dei.unipd.it/~gianni/

Dr Andrea Facchinetti

received the Ph.D. degree in Bioengineering from the University of Padova, Padova, Italy, in 2009. From 2009 to 2014 he was Post-Doc Researcher at the University of Padova (Italy). Since 2014, he is Assistant Professor at the University of Padova (Italy). His current scientific interests include optimal filtering, Bayesian estimation, deconvolution techniques, and neural networks applied to signal processing problems. According to Scopus, he is author of 62 papers in international peer-reviewed journals and holds 9 international patent applications (H-index: 22). In 2014, he has been awarded with the national scientific qualification to serve as associate professor of Bioengineering in Italian Universities. Personal homepage: http://www.dei.unipd.it/~facchine/

Dr Simone Del Favero

is Assistant Professor at DEI. His research interests include estimation, learning and dynamical-system identification applied to the automated blood-glucose control and the clinical testing of this technology. He is author of 40 papers in international peer-reviewed journals and holds 3 international patent applications (H-index: 21). Personal homepage: http://www.dei.unipd.it/~sdelfave/