Trustworthy Data & Knowledge Pipelines for Human-Centric Digital Twins

I work on human-centric Digital Twins and knowledge-centric systems for distributed IoT and Telco–Edge–Cloud infrastructures. My core expertise is reliability of the information and knowledge exchanged between digital entities (Digital Twins / services / agents): ensuring that what is shared, stored, and acted upon is traceable, consistent, up-to-date, and robust to noise, incompleteness, and conflicting sources.

I design knowledge pipelines (often knowledge-graph-based) that integrate heterogeneous data streams and support:

• Information reliability & trust: provenance and accountability of data/knowledge, consistency management, conflict resolution, and mechanisms to limit the impact of low-quality or adversarial inputs on interconnected twins.

• Distributed operation over the compute continuum: edge–cloud architectures, orchestration-friendly components, and scalable synchronization strategies for multi-twin ecosystems.

• Evaluation in real settings: QoE-inspired metrics and validation protocols for utility and dependability of the exchanged knowledge.

I am interested in roles as core technical partner or WP leader on WPs covering digital twin ecosystems, data/knowledge reliability, and edge–cloud integration (including sectoral pilots, if applicable).