1st revised baseline text for X.dpidm-aAI: Terminology and design guidelines for Agentic AI identity management
ITU-T 1ST Revised baseline text for XSTR.gidi : Globally Interoperable Digital Identity (including Humans/Enterprise/Non-Humans i.e. Agentic AI)
ITU-T SG17 (Study Period 2025) Temporary Document 201-WP1
Recommendation ITU-T X.506 | ISO/IEC 9594-13 establishes the background for the necessity for establishing crypto agility in the light of coming quantum computers but also when currently used cryptographic algorithms are considered unsafe. It does not alone describe WHY migration is required but also specifies in detail HOW migration is performed. It defines principles for how public-key certificates, attribute certificates and communication protocols can be prepared for migration and it provides tools for how migration can be established. The considerations on migration of public-key certificates are consistent with the approach specified in Rec. ITU-T X.509 | ISO/IEC 9594-8. The approach taken for migration of communication protocols is consistent with the one taken for public-key certificates to allow for a consistent migration strategy. Recommendation ITU-T X.506 | ISO/IEC 9594-13 is technically aligned with IEC TR 62351-90-4 for the electrical power industry.
The sectors of Digital Twins, Virtual Worlds/Citiverse, IoT and Data Spaces are fragmented, especially the uneven uptake of NGSI‑LD, Smart Data Models/SAREF and governance models creates a barrier for cross‑domain interoperability in cities. Therefore, I focus on harmonising these layers within ITU‑T Citiverse and EU Local Digital Twin (LDT) Toolbox. I also contribute to aligning LDT and Data Space governance with UNE 0087:2025 and the Gaia‑X Trust Framework to operationalise sovereignty, compliance and automated conformance. Moreover, I contribute to mapping LDT/MIM8, NGSI‑LD, SIMPL and Citiverse deliverables to speed deployment and avoid duplicate or conflicting specs.
In my fellowship i have been working to support the challenge of native integration of AI in the context of communication networks. While much success has been achieved in addressing network use cases with intelligent technologies, this has predominantly been applied in a case by case basis, with resulting outputs added to the networks in an ad-hoc way. Instead, AI-native networks are envisioned to accommodate the ubiquitous and native deployment of AI-based solutions in the network.
Through the work of the ITU-T Focus Group on AI-Native Networks, I contributed to the elaboration of use case, and associated requirements. I have also been supporting on the analysis of relevant key technologies that are required to realise the requirements derived from the use cases.
My fellowship supports the development of a standardized framework for trustworthy, AI-native digital infrastructure by moving away from centralized, opaque architectures toward decentralized, composable, and transparent platforms. It addresses key challenges in current digital ecosystems, such as fragmentation, centralization, and lack of trust, with priorities including the development of AI-native composable infrastructure that embeds transparency, privacy, and accountability; the advancement of standards for federated AI, digital twin interoperability, and decentralized identity; and the resolution of gaps in trustworthy execution and governance to reduce Europe’s dependency on non-European platforms. The fellowship further seeks to enable federated, decentralized AI, ensure data sovereignty, and align composable infrastructure with European values of privacy, fairness, and transparency. These standardisation efforts are very significant in facilitating the timely adoption of emerging technologies with a global, interoperable standard for future AI infrastructure.
Describes the requirements and architecture for an indoor conversational robot system. This Recommendation defines different functions to support indoor conversational robot systems.
Provides information on Study to identify and close gaps in Standards for Autonomous Networks (ANs) to complement Standards on ANs developed elsewhere such as the ETSI GANA related Standards
Requirements and Architectural Framework for Autonomic Management and Control of IMT-2020 Networks, as part of the the paradigm of Autonomic/Autonomous Networking (ANs) for Networks that exhibit features such as self-* operations such as self-adaptation, self-optimization, self-monitoring, self-protection and self-defense objectives for the network and services
Defines a ubiquitous network robot platform, and to identify its requirements and functional model. The use of standard interfaces for the ubiquitous network robot platform will ensure network robot service reusability, portability across several network robot services, and network accessibility and interoperability by the ubiquitous sensor network (USN).
Provides cloud computing requirements for Robotics as a Service, which addresses requirements from use cases. Robotics as a Service (RaaS) is a cloud service category aimed at supporting the development of robotics applications and services in a cloud computing environment. On the perspective of cloud computing service provisioning, this Recommendation defines the requirements for RaaS to identify functionalities such as augmented intelligence sharing, integrated robotic control, automated machine learning, data pre-processing, etc.