Spain

I focus on the development of a new standard Work Model type (Technical Specification) that facilitates the consolidation, integration, and implementation of requirements, helping organisations comply with AI laws, regulations, and standards more effectively. The objective is to guide and support organisations on how to meet the multiple requirements imposed by laws, regulations, and standards on AI-based systems. The initiative will not create new requirements but will provide assistance and guidance to organisations on how to consolidate, integrate, implement and audit different sources of requirements

My fellowship addresses three critical gaps in the European AI standardization landscape: The first gap concerns the harmonisation of Documentation Development, as there is an urgent need for technical documentation (Annex ZA, HAS checklists) to connect developing standards with AI Act requirements following the M/593 request. Without this work, standards risk delayed OJEU citation, creating regulatory uncertainty. I've worked on developing preliminary harmonization documents for JT021008 (Trustworthiness), JT021039 (QMS), and JT021024 (Risk Management). The second gap is related to cross-Standard Technical Coherence. As multiple AI standards are developed simultaneously, it creates potential inconsistencies in terminology, requirements, and implementation approaches. I've created mapping documents highlighting interconnections between standards, particularly focusing on how QMS requirements interface with other M/593 standards, to ensure a coherent framework. The third gap focuses on the alignment with EU AI Act Articles, as technical specifications in draft standards must precisely align with AI Act articles to support regulatory compliance. I have contributed targeted technical refinements to clauses 6.4 (transparency) and 6.5 (human oversight) in the Trustworthiness Framework to strengthen alignment with Articles 13 and 14 of the AI Act.

The adoption of AI in telecommunications systems is expected to foster the investments made not only in connectivity itself, but also in digital infrastructures.

Regarding CEN/TC264/WG41, we are making hasty progress to a draft document early 2026 with the aim to issue a standard.

 The objective is to present LoRa mesh networks to the IRTF GAIA WG of the IETF. GAIA seeks technologies to connect the unconnected world, and with IRTF GAIA as a vehicle, we seek to start the standardisation activity of this new technology. 

In this fellowship, the main priority focuses on helping organisations to drive innovation and technological transformation using the Centre of Excellence (CoE) as the best management mechanism in a context of a shortage of professional profiles with expertise in Artificial Intelligence and other disruptive technologies.

With this fellowship, I aim to help complete the standardisation of rLEDBAT in the I Internet Congestion Control Research Group (ICCRG) in the IETF/IRTF and of LEDBAT++ in the ICCRG in the IETF.

My fellowship tackles the following gap, the standardisation of clinical information, as clinical information must be standardised to ensure the secure and effective use of language models in electronic health records (EHRs). 

Having MEP equipment modelled and standardised could make this process economic and a disruptive market technology. The final objective is to develop an initial ontology oriented to simulation in buildings.

There is a lack of standard procedures installers can employ to determine whether their installation work has caused new electromagnetic interference problems. The challenge is to develop guidelines to help detect major emissions problems in the field early to fix them promptly, in a proactive and preventive manner that are complementary and coherent with standard emissions tests as part of compliance assessment. 

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. 

This standardisation project will boost the creation of a certification system for biometric solutions to be used in different scenarios. One of the first scenarios to be addressed is the remote identification of citizens using videoconference tools, i.e., using facial recognition with the users’ own personal devices (either computers or mobile devices).