Luis Sanabria-Russo is a Networking and Communications engineer from Universidad Tecnológica del Centro, Venezuela (2008). He got his MSc. in Advanced Sciences of Modern Telecommunications from Univesitat de Valencia, Spain, and received his PhD in Information and Communications Technologies from Universitat Pompeu Fabra, Barcelona in 2012 and 2016, respectively. With a background mostly related to routing and switching, his interest now turned to Software Defined Network (SDN) and Network Functions Virtualisation (NFV) abstractions to different layers of the communication stack. He is currently exploring ways of leveraging cloud-native approaches and network operations (NetDevOps) to enable data-driven QoS capabilities in IoT/5G deployments.
Luis is part of the SMARTECH research group at the Communications Technologies Division in CTTC. He actively participates in ongoing H2020 research projects, such as SEMIoTICS, 5GSOLUTIONS, MonB5G, 5G-ROUTES, and DARLENE. His roles are related to experimentation infrastructure design, provisioning and sharing. He has also participated in the preparation of H2020 proposals, specifically at sections related to ETSI NFV, MEC, ZSM and ENI specifications; cloud-native approaches and DevOps methodologies.
Leveraging his teaching background (strongly footed on the development of Massive Open Online Courses, such as ‘A Hands-on Experience with WSNs‘ for Universitat Pompeu Fabra), Luis also participates in technical seminars oriented towards 5G end-to-end experimentation for different verticals, e.g. Healthcare and IoT; and techniques, e.g. cloud-native approach to ML model training. Relevantly, he has also presented different technical demonstrations of proof-of-concepts at international conferences and events, such as ETSI IoTWeek, IEEE INFOCOM, IEEE CAMAD, and IEEE ICC. Currently, Luis is the architect, developer and maintainer of an end-to-end 5G experimentation platform being put together at SMARTECH.
Up-to-date publications can be found at the links below:
H2020-ICT-2018-3 // Grant agreement ID: 856691