UBITECH participates at the virtual kick-off meeting hosted by BIBA (October 14, 2020) of the COALA Research and Innovation Action, officially started on October 1st, 2020. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 957296) and spans on the period October 2020 – September 2023. The vision of the COALA project for AI in manufacturing is the development of human-centered digital assistant that provides a more proactive and pragmatic approach to support operative situations characterized by cognitive load, time pressure, and little or zero tolerance for quality issues. COALA will help shaping the complementarity in the collaboration between the AI-based assistant and the human so that the AI will take over time consuming and stressful tasks reliably and credibly, and the human will focus on understanding and problem-solving in complex & knowledge-intensive situations. COALA’s AI-focused education and training concept will prepare the human-side of the collaboration by offering concept for teaching professionals systematically and, in the language of the workers, about the capabilities, risks, and limitations of AI in manufacturing.
UBITECH participates in the virtual kick-off meeting, hosted by the MARTEL GMBH (September 25, 2020), of the ASSURED Research and Innovation Action, officially started on September 1st, 2020. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 952697) and spans on the period September 2020 – August 2023. The ASSURED project aims to design and implement a novel policy-driven, formally verified, runtime assurance framework in the complex domain of Cyber-Physical Systems (CPS), capable of ensuring the safe operation of a system that contains functional components, which may not be sufficiently reliable, or sufficiently verified, according to current developments or certification standards. The core idea is to leverage and enhance runtime property-based attestation and verification techniques so as to allow intelligent (unverified) controllers to perform within a predetermined envelope of acceptable behavior, and a risk management approach to extend this to a larger System of Systems (SoS).
UBITECH participates in the virtual kick-off meeting, hosted by the University of Murcia (September 25, 2020), of the PHOENIX Innovation Action, officially started on September 1st, 2020. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 893079) and spans on the period September 2020 – August 2023. The PHOENIX project aims at changing the role of buildings from unorganised energy consumers to active agents orchestrating and optimising their energy consumption, production and storage, with the goal of increasing energy performance, maximising occupants’ benefit, and facilitating grid operation. The PHOENIX project will design a portfolio of ICT solutions covering all aspects from hardware and software upgrades needed in legacy equipment and optimal deployment of sensors, to data analytics and services for both building users and energy utilities.
UBITECH ENERGY participates in the virtual kick-off meeting, hosted by CIRCE (September 22, 2020), of the TIGON Innovation Action, officially started on September 1st, 2020. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 957769) and spans on the period September 2020 – August 2024. The TIGON project aims to enable a smooth deployment and integration of intelligent DC-based grid architectures within the current energy system, while providing ancillary services to the main network. To do so, TIGON proposes a four-level approach aiming at improving (1) Reliability, (2) Resilience (3) Performance, and (4) Cost Efficiency of hybrid grids through the development of an innovative portfolio of power electronic solutions and software systems and tools focused on the efficient monitoring, control and management of DC grids. These solutions will be demonstrated in two main Demo-Sites located in France and Spain.
The first contractual virtual review meeting for the CYBELE H2020 co-funded research project (
The 1st workshop on Dependability and Safety Emerging Cloud and Fog Systems (DeSECSys), in the context of the 25th European Symposium on Research in Computer Security (ESORICS ’20), took place virtually on September 17, 2020, and its focal point was the emergence of technologies that support the safety and dependability of the ever-increasing sensitive data handled by digital applications. In addition, besides these technologies which target security by their design, DeSECSys focused also on other technologies, such as machine learning, which could potentially be applied to secure innovative schemes. The aim of the workshop was to foster collaboration and discussion among cyber-security researchers and practitioners to discuss the various applications, opportunities and possible shortcomings of these technologies and their integration. The goal was to produce a collection of state-of-the-art research about emerging security technologies, their applications, their shortcomings and their verification with a focus on their uncompromised, in terms of security, safety and dependability, integration.
UBITECH hosts the virtual kick-off meeting (September 10-11, 2020) of the SANCUS Research and Innovation Action, officially started on September 1st, 2020. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 952672) and spans on the period September 2020 – August 2023. The vision of the SANCUS project is to support the EU mission of protecting the next generation of Information and Communications Technology (ICT) networks by proposing an analySis softwAre scheme of uNiform statistiCal sampling, aUdit and defence proceSses. The key idea is to build a wide‐ranging manifold of new tools and strategies that enable next‐generation ICT system networks with massively distributed environments, to perform automated and Artificial Intelligence (AI) driven analysis of their firmware images at massive scale – as the quantity of the processed firmware grows, the capabilities of the system networks advance towards enabling proactive risk assessment of their applications and services by means of and maximising the overall system resilience in joint terms of security, privacy and reliability.
