Supporting Energy Communities- Operational Research and Energy Analytics (SEC-OREA) enables local energy communities (LECs) to participate in the decarbonisation of the energy sector by developing advanced efficient algorithms and analytics

In this project, we specify and design error correction codes suitable for an efficient protection of sensitive information in the context of Internet of Things (IoT) and connected objects. Such codes mitigate passive attacks, like memory

The urgency to cut energy-related greenhouse gas emissions is recognised by EU policy. Efforts to do so, however, are hindered by the limitations of software used to generate and assess national energy transition scenarios. These tools

Contemporary AI applications often rely on deep learning, which implies heavy computational loads with current technology. However, there is a growing demand for low-power autonomously learning AI systems that are employed “in the field”

The overall vision of the project is to develop comprehensive knowledge and an innovative methodology in the areas of energy autonomous wireless systems from a global system perspective, enabling self-powered, battery-free wireless sensing

Motivation: Health and fitness wearables present mobile solutions for ICT in public wellbeing by providing personal remote control and clinical intervention through telemedicine networks. Due to their noninvasive and continuous vital sign

Modern communication networks are rapidly evolving into sophisticated systems combining communication and computing capabilities. Computation at the network edge is the key to supporting many emerging applications, from extended reality to

Global supply chains, market fragmentation, mass customization and shorter product life cycles have scaled up competition among companies which give rise to the need for introducing cognitive abilities through flexible and easily

As the adoption of digital technologies expands, it becomes vital to build trust and confidence in the integrity of such technology. The SPIRIT project will investigate the Proof-of-Concept of employing novel secure and privacy-ensuring

The Pharmaceutical industry is currently producing significant amounts of electronic data through manufacturing lines increasingly automated via pervasive sensors and devices. Manufacturing line data sources are heterogeneous with various