CRAT is a no-profit research consortium including the University of Rome “La Sapienza”, Politecnico di Bari, Thales Alenia Space Italia, Space Engineering and TopNetwork. The project will be totally in charge of the research group of the University of Rome “La Sapienza” coordinated by Prof. Francesco Delli Priscoli and Dr. Vincenzo Suraci, and will be carried out at the Department of Computer, Control and Management Engineering (DIAG) of the University of Rome “La Sapienza”.
The University of Rome “La Sapienza” is by far the biggest (around 150,000 students), the oldest (funded around 1300) university of the city and one of the most prestigious Italian and European universities. It hosts several faculties, which, in turn, are organized in departments including some research groups. The University of Rome Sapienza research group which will participate to the project mainly involves people working at the DIAG Network Control Laboratory.
The research group in question has a huge experience in the framework of ICT related projects financed by the European Union, as well as several successful co-operations with major industries.
As far as the most recent FP8/FP7 EU financed projects are concerned, the research group in question is successfully participating (or has successfully participated) in the following projects: BONVOYAGE (Intermodal mobility), COCKPIT-CI (Cyber-security on SCADA), SHIELD (Security for Embedded Systems), TASS (Airport Security), MICIE (protection of Critical Infrastructures), FI-WARE and FI-CORE (Future Internet technology foundation), T-NOVA (SDN/NFV Infrastructures), OMEGA (Home Gigabit Access), DLC+VIT4IP (Power-Line Communication Technologies), MOBINCITY (Smart Charging and smart routing of Fully Electrical Vehicles).
In the above-mentioned projects, the activities performed by the research group in question are/were mainly oriented to studies, designs, simulations and implementations in the field of cognitive techniques which, on the basis of heterogeneous multi-layer, multi-network/cloud, multi-user information takes coordinated and personalized control decisions concerning Service/Content Delivery with Quality of Experience (QoE)/Quality of Service (QoS) guarantees, Network/Computing/Storage Resource Management, Security Management, Mobility Management, Access Control Management in heterogeneous infrastructures, etc., which are eventually actuated in the various underlying transport/cloud infrastructures. The above-mentioned techniques have been put in place in the following application contexts: critical infrastructures, wireless and wired transport networks, cloud infrastructures, energy distribution networks, transportation networks.
The research group in question has dealt with the above-mentioned topics by using several innovative methodologies in the field of control and optimization (e.g. machine learning, reinforcement learning, model predictive control, optimal control, adaptive control, game theory, data analytics etc.). The achieved results have been the subject of plenty of publications in books, international reviews and international conference proceedings, and have been implemented in many demonstrators and prototypes.
CRAT web site: www.crat.eu