6
employees
18
publications
5
projects
The exponential growth of data-driven services and the increasing interdependence of physical and digital infrastructures are placing unprecedented demands on communication networks. From autonomous mobility systems and industrial automation to satellite-based global internet coverage and real-time remote operations, future communication technologies must provide more than just bandwidth – they must also deliver reliability, determinism, scalability, and intelligence.
As we look towards 6G and beyond, the global R&D ecosystem faces a complex set of challenges: ensuring ultra-low latency and extreme reliability for time-sensitive applications, enabling seamless and sustainable global connectivity, and building intelligent, adaptive networks that can meet dynamic demands across verticals. Addressing these challenges requires an interdisciplinary approach that bridges protocol design, systems engineering, artificial intelligence, and application-domain knowledge.
The exponential growth of data-driven services and the increasing interdependence of physical and digital infrastructures are placing unprecedented demands on communication networks. From autonomous mobility systems and industrial automation to satellite-based global internet coverage and real-time remote operations, future communication technologies must provide more than just bandwidth – they must also deliver reliability, determinism, scalability, and intelligence.
As we look towards 6G and beyond, the global R&D ecosystem faces a complex set of challenges: ensuring ultra-low latency and extreme reliability for time-sensitive applications, enabling seamless and sustainable global connectivity, and building intelligent, adaptive networks that can meet dynamic demands across verticals. Addressing these challenges requires an interdisciplinary approach that bridges protocol design, systems engineering, artificial intelligence, and application-domain knowledge.
The group’s core expertise is structured around four complementary research pillars.

Studying mobility challenges in geographical zones and clusters in Luxembourg
Ai-aided deCision tool for seamless mUltiModal nEtwork and traffic managemeNt
Active aGeing And Personalised service's Ecosystem
Reconciling Urban Mobility and CCAM Digital Twins for Enhanced Integration and Mutual Advancement
Feltus C., Ferrero F., Nicolas D., Viti F., Castignani G., Connors R., Khadraoui D., Nakao H.
Data Science for Transportation, vol. 8, n° 1, art. no. 4, 2026
A Reference Functional Architecture for Network Digital Twins in 6G Systems
Zaki-Hindi A., Soto P., Castellanos G., Pritom T.H., Volpe G., Zellagui I., Hensel B., Jimenez J., Marvulli M., Santos L., Sayin A., Sottet J.S., Ali W., El-Korbi I., Turcanu I., Belogaev A., Duarte A., Kelly U., Kumar S., Myagkov G., Parker S., Franke M., Hossain S., Sanyal R., Shafi N., Sommer C., Camelo M., Baudouin J., Decorme R., Fanti M.P., Fuladi R., Murphy C., Pereira A., Senouci S.M., Pryor S., Faye S.
IEEE Open Journal of the Communications Society, vol. 7, pp. 2068-2101, 2026
Guijarro V.R.F., Vega-Sanchez J.D., Pacheco V.H.G., Estrada-Jimenez J.C., Vasquez-Peralvo J.A., Chatzinotas S.
IEEE Access, vol. 14, pp. 45863-45881, 2026
