Luigi Martino

Luigi Martino, M. Sc.

Department of Computer Science
Chair of Computer Science 7 (Computer Networks and Communication Systems)

Room: Room 06.157
Martensstr. 3
91058 Erlangen

Short Biography

Luigi Martino is currently working as a research associate in the Quality of Service research group at the Chair of Computer Networks and Communication Systems at the university Erlangen-Nürnberg, where he is aiming to pursue the Ph.D. degree.
Luigi earned his Bachelor degree (B.Eng.) in Telecommunication Engineering at the Polytechnic University of Milan in 2016 where subsequently he earned his master’s degree (M.Sc.) in the same field in 2019.
He is specialized in radio frequency engineering and wireless and mobile propagation systems.
After his studies he worked for 2 years at Capgemini (Italy) as RF Engineer and subsequently he worked for a year at D-Orbit (Italy) operating in the field of space and satellites with the role of telecommunications systems engineer.

More Information

Publications

No publications found.

Projects

  • Simulation KI-unterstützter automobiler Szenarien und Protokoll-Optimierung

    (Third Party Funds Group – Sub project)

    Overall project: Optimierung der Konnektivität für automobile Anwendungen in hybriden Satelliten / terrestrischen 5G Netzwerken mittels künstlicher Intelligenz
    Term: 2022-02-01 - 2025-01-31
    Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)
    Abstract

    The cooperation between Airbus Defense and Space GmbH, Fraunhofer Institute for Integrated Circuits, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg and ZF Friedrichshafen AG has the common goal of increasing the connectivity for automotive applications in hybrid satellite-terrestrial 5G networks using artificial intelligence.

    The FAU works primarily on concepts for the integration of automotive applications, the creation of a simulation model for the combination of vehicular and satellite communication, the integration of AI algorithms, the performance evaluation and optimization of quality-of-service related protocols, and supporting the implementation of a real-time demonstrator. Results shall be presented at scientific conferences and contribute to the standardization of 5G and future 6G networks.