ICAR, Institute for high performance computing and networking, is an Institute of the National Research Council (CNR) that belongs to the Department of Engineering, ICT and Technologies for Energy and Transport (DIITET). ICAR is present on the national territory with three offices, Rende, Napoli and Palermo. ICAR offers innovative solutions in terms of research, technology transfer and high education in the area of intelligent systems with complex functionality (cognitive systems and robotics, knowledge representation, extraction and reasoning, human-computer interface, optimization) and high performance computing (cloud computing, parallel and distributed environments and advanced technologies for the Internet). Significant applications are developed in the areas of e-health, energy, security, bioinformatics, cultural heritage, smart cities.
The ICAR-CNR-SLSAS group is involved in the definition of advanced network services and in the experimentation within the pervasive intelligence modeling for future society and cyber-physical systems for the future working scenario virtual laboratories. The research activities of the Reseach Group focus on the i) development of novel self-learning methods by combining Inverse Reinforcement Learning and Forward Reinforcement Learning; ii) definition of innovative selflearning hierarchical approaches, especially concerning the solution of multi-objective problems; iii) definition of self-learning distributed approaches via multi-agent systems; and iv) development of methods and tools for the optimization of QoS parameters dynamically self-learned, rather than statically pre-defined. These methods exploit and integrate paradigms such as Reinforcement Learning, Inverse Reinforcement Learning, Multi-Agent Reinforcement Learning, Hierarchical Learning, Continuous Learning, Deep Learning.
The research group also exploits the expertise of University of Messina in integrating Cloud and IoT in a continuum. Interest is devoted to Deviceless computing, i.e. the adoption of serverless solutions also at the edge level. FaaS solutions will be investigated at the edge of the system to exploit remote resources and compose new level. FaaS solutions will be investigated at the edge of the system to exploit remote resources and compose new services along the cloud continuum. Specific applications will be related to new services deployment in Smart cities and industry 4.0.
ICAR-CNR-SLSAS is currently involved in the following EU projects:
- ICU4COVID - Cyber-Physical Intensive Care Medical System for Covid-19
- AI4HealthSec - A Dynamic and Self-Organized Artificial Swarm Intelligence Solution for Security and Privacy Threats in Healthcare ICT Infrastructures
- AGREED - AGRiculture, GREEn & Digital
