Luca Vettori – Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Packet Optical Networks and Services (PONS)

Msc , Researcher

Email: luca.vettori@cttc.catPhone: +34 93 645 29 00

Luca Vettori obtained his MSc Telecommunication Engineering degree from the University of Florence (UNIFI), Italy in July 2008. Also, he has a master degree in Applied Telecommunication and Engineering Management at the University of Catalonia (UPC), 2017.
From 2008 to 2011 he worked as a Research Engineer in the LENST Laboratory (currently LESC Lab) for the Department of Information Engineering of the University of Florence.
During that period, he was actively involved in several national research projects, mostly regarding research activity on Broadband Wireless Systems, Software Defined Radio and Wireless Sensor Networks, with regular production of reports and scientific publications about research work of above-mentioned topics.

Throughout his professional life, he has worked for industry and research academics, covering different roles. He worked as Network Engineer from 2011 and 2012 for an Italian telephone company.
In Spain, he worked as Support Engineer and Software Engineer in some companies before joining CTTC in July 2017 as Research Assistant.
Research activity
Currently in CTTC, he has been involved in H2020 projects, such as 5G-TRANSFORMER and H2020-ICT-2018-3 5Growth. In this context, he has been actively co-leading the design and development of key building blocks forming the experimental solution and platform adopted in both projects. The implication in such projects allowed him to gain experience in the research and development of standardized mobile and transport networks and their orchestration and management using SDN and NFV techniques.

His research activity is summarized in the following:

Development of innovative solutions on SDN/NFV, Network Virtualization, Network Orchestration and Cloud topics.
Working with the current state of the art technologies related to NFV and optical/packet SDN systems (under the framework of Linux environments).
Developing and designing tools with modern programming languages, like Python, for the implementation of different test-beds and PoC in the mark of more practical.
Actively involved in regular WPs activities, like attending calls/meetings and writing down contributions to project Deliverables.

Participation in Public- and Industrial-funded Projects
During his career, he has participated in several R&D projects funded by European Commission (H2020 programs) and national (Italian) programs.

H2020: 5Growth, 5G-TRANSFORMER
Italian National programs: SALICE, I-NATURE, CLASS5

Advisor and Academia Activities
The following activities were done during the participation academic activity of the University of Florence:

Supervised 3 MSc Thesis (on the topic of Broadband wireless Systems such as LTE and Multi-Antennas Technics).
Supervisor of a BSc Thesis on Mobile Telecommunications and Software Defined Radio (SDR).
Teaching undergraduate courses/seminars on Software Defined Radio.

Dissemination
Author and co-author of over 15 international and peer-reviewed journal and conference papers.

Google Scholar Profile: https://scholar.google.ca/citations?user=EwhK-x4AAAAJ&hl=en

Total citations (as at 2022/01): 117
h-index and i10 (as at 2022/01): 7 and 3

He is also a reviewer for IEEE Communications Magazine.
Awards
2021: J. Baranda, J. Mangues, L. Vettori, R. Martínez, E. Zeydan, “Deploying Hybrid Network Services: Mixing VNFs and CNFs in Multi-site Infrastructures”, in Proceedings of the 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON’21), 6-9 July 2021. Best Demonstration Paper.

2020: J. Baranda, J. Mangues, E. Zeydan, L. Vettori, R. Martínez, X. Li, A. Garcia-Saavedra, C. Fabiana Chiasserini, C. Casetti, K. Tomakh, O. Kolodiazhnyi, C. Jesus Bernardos, “On the Integration of AI/ML-based scaling operations in the 5Growth platform”, in Proceedings of the 6th IEEE Conference on Network Functions Virtualization and Software-Defined Networking (IEEE NFV-SDN 2020). Best Fast Track Paper.

ORCID ID: https://orcid.org/0000-0001-8543-338X