Tutorial: Distributed and Collaborative Measurement Systems: A Glimpse Into the Future


Distributed measurement systems are becoming pervasive in our daily life and collaborative networks are becoming more and more common, so there is the necessity to be aware of the real meaning and implications of terms ‘distributed’ and ‘collaborative’.

This tutorial is designed to let the audience be acquainted with the different architectures of distributed measurement systems and to learn how to design a distributed measurement network, how to add collaborative functionalities and what are the implications in terms of safety and privacy of the collaborative options.

The tutorial is conceived as a lecture which discusses the different architectures, which can be used to arrange a distributed network, the possibilities offered by the collaboration between users on a effortless basis and the risks in terms of security and privacy.


Speaker Bios

Luca Lombardo (luca.lombardo@polito.it) was born in Italy in 1986. He received his B.D. and M.S. degree in electronic engineering from the University of Messina, Italy, in 2014 and 2016, respectively. Currently he is a PhD Student in Metrology with the Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino. His research interests include the development of innovative sensors and distributed and collaborative systems especially for environmental monitoring and biomedical applications, embedded systems and instrumentation in general.

Marco Parvis (marco.parvis@polito.it) was born in Italy in 1958. He received his MS degree in electrical engineering in 1982 from the Politecnico di Torino, Italy, and a Ph.D. degree in Metrology in 1987. He is now full professor of Electronic Measurements at the Politecnico di Torino, where  he  was  Dean  of  the  II   Faculty   of Engineering, and Fellow Member and chair of the TC 25 Medical Measurement of the IEEE Society on Instrumentation and Measurement. His main fields of interest are: intelligent instrumentation, application of signal processing to measurement, biomedical and chemical measurements.