NEXPRESSO creates and implements a network for evaluation by researchers of prototype photonics components and systems manufactured by SMEs, at no net cost to either the university or the SME. As a result, students are trained on the next generation of emerging technologies and products as identified by European industries. This training orients students toward advanced technology jobs in Europe, thus helping to develop a highly educated and productive workforce in Europe.
The need for authoritative, on-going international cooperation in respect of the European agenda for taking the concept of the Internet of Things (IoT) to reality is pivotal in putting it into the global context it demands. CASAGRAS2 provides the necessary conduit for taking the next steps in international collaboration.
The aim of the OFELIA project is to create a unique experimental facility that allows researchers to not only experiment 'on' a test network but to control the network itself precisely and dynamically. To achieve this, the OFELIA facility is based on OpenFlow, a currently emerging networking technology that allows to virtualize and control the network environment through secure and standardized interfaces. In a nutshell, OpenFlow enables experimenters to change the behavior of the network as part of the experiment rather than, if at all, as part of the experiment setup.
SIREN is developing a conflict resolution game, for children, which takes advantage of recent advances in serious games, social networks, computational intelligence and emotional modelling
Electronic devices of the latest generations, being those integrated circuits or discrete components, are often required to operate in harsh environmental conditions, where the temperature may reach over hundred degrees centigrade. Obviously, this has negative impact on several parameters of the electronic devices, ranging from slow-down and transient, recoverable errors to permanent failures and device breakdown.
SIEMPRE develops research theoretical and methodological frameworks, computational models, and algorithms for the analysis of creative communication within groups of people, important also for future ICT (e.g. social media, on-line and mobile communities, web 2.0). Focus is on ensemble musical performance and audience experience, ideal testbed for the development of models and techniques for measuring creative social interaction in ecological framework.
In this project we set up an interdisciplinary consortium of computer scientists, physicists, economists and policy makers to deal with the problem of understanding and forecasting systemic risk and global financial instabilities. By leveraging on expertise in the various disciplines, we want to provide a novel integrated and network-oriented approach to the issue. On one hand, we will offer a theoretical framework to measure systemic risk in global financial market and financial networks.
SEAL is an integrated project consisting of 17 equipment assessment sub-projects in the area of semiconductor manufacturing equipment. The assessment themes are equally spread amongst processing and metrology equipment, heading beyond the current state-of-the-art both for More Moore and More than Moore applications. The strategic objective of SEAL is to effectively combine efforts, resources and expertise in the joint assessment of novel equipment supported by cross-cut R&D dedicated to the identified needs of the assessment sub-projects.
Towards the Future Internet age, COAST aims to build a Future Content-Centric Network (FCN) architecture, able to offer network-wide Service Level Agreements (SLAs) in service discovery and content consumption. In COAST FCN, the users will specify solely which content or web service they need and the COAST framework will find and deliver the desired or the most relevant data in an efficient, timely, user-/network-friendly way. To achieve this goal, COAST will focus on three key innovation pillars: On the fly identification and distributed on-line discovery.
The Virtual Physiological Human network represents an active and diverse community of biomedical scientists that studies human biology by computational means. This diversity is the basis for an impressive breadth of scientific approaches, and emergent technologies, as well as potentially shareable resources such as data and models. Although in principle, the resources generated are re-usable, in practice, few can currently be shared. A key reason for this disparity stems from the lack of consistent cataloguing, annotation and accessibility of VPH data and models (VPHDMs).
