Projects - On going

XpanDH aims at mobilizing and building capacity in individuals and organisations to create, adapt and explore purposeful use of interoperable digital health solutions based on a shared adoption of the European Electronic Health Records Exchange format across Europe. It's main goal of maturing and accelerating a sustainable and scalable interoperability environment for digital health innovations based on the EEHRxF.

MODUL4R proposes a holistic framework applicable both to new and existing manufacturing lines to achieve flexibility, rapid responsiveness, and sustainability. MODUL4R will be demonstrated in specialized mould manufacturing for the automotive sector, CPPS for flexible & modular assembly of PCBs, and tools manufacturing for the aerospace.

TeleRehaB DSS targets the promotion of AI adoption in everyday clinical practice for balance rehabilitation training. An AI-based decision support system (DSS) will be developed expanding upon the existing Augmented Reality (AR) rehabilitation training platform, with its balance exercises, exergames, cognitive training and remote patient monitoring with wearables and IoT devices from HOLOBALANCE project (TL6), to provide suggestive feedback for experts through the entire clinical rehabilitation pathway.

The AIDEAS project is developing a series of AI technologies to support this endeavour focusing on four core elements: design, manufacturing, use and repair/reuse/recycling. The proposed solutions will be tested and validated in four pilots involving manufacturers that provide industrial equipment to the metal, stone, plastics and food sectors. AIDEAS will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies.

As part of the green, circular and digital transformation of the European manufacturing community, it is extremely important that data-driven digital manufacturing processes urgently incorporate innovative and active resiliency strategies at production and supply chain levels to maintain their sovereignty and competitiveness levels, respecting European digital values (excellence, privacy, trust).

The EU-funded EMERGE project addresses the challenges concerning the whole spectrum of flexible, large-area electronics and photonics development: from materials synthesis and process design and architecture to device and system development. EMERGE will establish the first research infrastructure that supports interdisciplinary research in the field, enabling the introduction of new, recyclable electronics products at half the time and cost.

Many European SMEs/MEs face multiple challenges related to personal data protection; ranging from awareness, to a clear and practical roadmap to compliance, the most prominent one is the fact that, unlike larger enterpriseSMEs/MEs lack access to enterprise-grade cybersecurity technology and capacity-building for compliance, making them increasingly often victims of costly data breaches.

This project aims to address several scientific and technological challenges towards the use of shuttle drones to perform launch and capture maneuvers of other vehicles or objects. A first scenario is considered where the shuttle drones cooperate with the vehicles to be launched or captured, either relaying information about their planned motion or actively synchronizing.

SOLSTICE answers the quest for stationary energy storage with two Na-Zn molten salt batteries, which operate at elevated temperature. The first concept benefits from the existing and successful ZEBRA® technology. Replacing their Ni-electrode by cheap and abundant Zn will only minimally affect other system parts thereby ensuring fast commercialisation.

The EU-funded VesselAI project plans to develop a framework that facilitates the modelling and prediction of ships’ behaviour. Using digital twin technology, the framework will efficiently fuse and assimilate huge amounts of data, enabling highly accurate modelling as well as design and operation optimisation of ships and fleets under various dynamic conditions.