The Institute of Communications and Computer Systems (ICCS) was founded in 1989 as an independent institution closely associated with the School of Electrical and Computer Engineering (SECE) of the National Technical University of Athens (NTUA) (est. 1837), which is the oldest and most prestigious academic institute in Greece. Its mission is to host and promote high quality research in all fields relevant with the SECE expertise (i.e., communications, computers, networks, control, multimedia, expert systems, components, biomedical engineering, education and management, etc.). As such, it serves as an umbrella of a large number of R&D laboratories and activities.
The Computer Networks Laboratory (CNL) of ICCS aims to remain ahead of the wave of change in mobile technologies and service engineering by cooperating with industry and academia in artificial intelligence, next generation communication networks and mobile application related projects. To this end, in the FP6 IST framework, CNL has participated in the IST-DAIDALOS IP (performing work on the design, integration and validation of heterogeneous network technologies), in the IST-AmiGo IP (aiming to develop open, standardized, inter operable middleware and intelligent user services for networked environments), as well as a project coordinator in the IST-MOTIVE STREP (researching on user location techniques, end-to-end monitoring of user perceived QoS in mobile networks, and anonymous mobile community services). In the FP7 ICT framework, CNL participated successfully in the ICT-PERSIST STREP (towards the development of Personal Smart Spaces that cater for the needs of users, adapt to their preferences and learn new ones as these arise). Currently, in the FP7-ICT-EcoGem STREP, CNL performs significant research in the application of machine-learning principles for the development of a FEV-oriented Advanced Driver Assistance Systems. Furthermore, CNL holds a significant role in the FP7-ICT-SOCIETIES IP for the design, implementation and evaluation of an open, scalable service architecture and platform for self-orchestrating of Community Smart Spaces. Moreover, in the context of the wide-scale Greek national project CONFES (Converged Network Infrastructure Enabling Resource Optimization and Flexible Service Provisioning), CNL is responsible for designing and implementing, by means of artificial intelligence, an innovative resource allocation framework for the optimum use of a converged network infrastructure. CNL has highly qualified members with extensive expertise in the areas of machine learning, mobile and personal communications, service and software engineering, cognitive networks, and context-aware and pervasive computing.
Evgenia Adamopoulou firstname.lastname@example.org (Dissemination Manager)
Konstantinos Demestichas email@example.com