OC#2 2026

Within my WG, we address the gap in the link between digitisation and environmental sustainability, and particularly of products and services. Specifically, digital devices and related elements ranging from materials to e-waste are a significant part of our environmental problem. 

There is a growing need for information about building services systems during the planning and design of buildings. The designers in building services must execute detailed calculations and simulations to ensure saving of energy and to satisfy hygienic and comfort criteria in heating, ventilation, air conditioning, and sanitary plants. 

With this fellowship, I aim to consolidate the European activities and strengthen the European participation in my ISO work group which is yet too limited. In terms of international developments, the priority has been set to the final consolidation of the ISO 22726 series.

The ongoing contributions to the Biometric System-on-Card related interindustry ISO/IEC standards address the following three key aspects: bridging definition gaps, enhancing clarity and consistency, and prioritising practical applicability.

With this work, I focus on enabling collaborative ecosystems and models among ICT stakeholders that allow energy saving and a positive environmental and societal footprint, bridging use case workflow and ecosystem design in a way that allows data-driven collaboration and performance increments.

Identifying standardisation gaps and creating road maps is essential for ensuring technology development addresses key problem areas.  

Overall, I am taking a more holistic view of the AI standardisation roadmap while pursuing in parallel my contributions to specific AI standards in SC 42 and JTC 21.

The development of ICT standards for QT is crucial for establishing harmonised approaches and interoperability within the EU, thus ensuring the successful deployment of large-scale quantum networks. 

In this fellowship, I work on the analysis of the Digital Twins (DT) landscape with a focus on the urban domain. We focused on two priority gaps that, once solved, may enable the modelling of complex DT through the exclusive use of the SAREF suite to enhance the interoperable communication between entities composing a DT; and to enable the modelling of time series to represent how a DT evolves through time.

Explainability is critical for ensuring trustworthiness of state-of-the-art AI. Standardising explainability will build consensus on best practices methods that allow developers to build more high-performing systems, provide enhanced end-user experience, and facilitate oversight.

In the transversal aspects in data spaces, there is a lack of guidance on the integration of security and privacy, and it is crucial to develop this further as it is a barrier for compliance with regulation (e.g. CRA, AI act). 

Improving security is one of the most, if not the most, important priorities for the evolution and future development of the IoT.