Quantum communication, the transfer of quantum superposition states over long distances, is presently limited to about 200km (both in optical fibre and free space) due to unavoidable photon absorption losses. For this reason, theoretical

In this project we adopt the Core Switching and Routing GreenTouch energy saving target of 100 and believe this ambitious target is achievable. A key observation in core networks is that most of the power is consumed in the IP layer while

The IoT has a great potential to provide novel services to humans in critical areas for society. This innovation however requires updating our understanding of the risks associated with the new technology so that we can deploy it with

The ever-increasing demand for ubiquitous wireless communication services with high data rate, low latency, and high reliability is considered unsustainable from an environmental perspective. In particular, the emerging high-rate services

Water resource contamination substantially threatens the environment. Rapid identification of chemicals and their emission sources in watersheds is crucial for sustainable water resources management. Despite studies on the measurement of

The TERALINKS project is dedicated to the demonstration of a real-time THz communication system, with the 200-300 GHz bandwidth, in an operational environment. The TERALINKS consortium aims to integrate three key enabling technologies and

ICT enabled cutting-edge frontier technologies such as clean energy, artificial intelligence (AI), internet of things (IoT), digital twin, robotics, space 2.0 technologies, smart cities, etc. present numerous innovative solutions to

Critical infrastructures are necessary for a country to function and upon which daily life depends. In light of the recent geopolitical events, protecting these infrastructures from various threats are very important to ensure national

Artificial Neural Nets (ANNs) are at the core of an increasing number of applications integrated with critical systems and using sensitive user data, making security and privacy concerns critical. Compromising a classifier for object

The rapid growth and fragmented character of social media and publicly available structured data challenges established approaches to knowledge extraction. Many algorithms fail when they encounter noisy, multilingual and contradictory input