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Dr Xenofon Vasilakos

Biography

Dr. Xenofon Vasilakos is a Research Fellow with the University of Bristol and a member of the Smart Internet Lab and the High Performance Networks research group. His current and past research involves 5G and beyond architectures, concepts and technologies including SDN/NFV, Pervasive Networking, and Network Slicing, with particular interest on Multi-access Edge Computing (MEC) solutions combined to intelligent/cognitive approaches inspired by Machine Learning (ML) models towards zero-touch self-managed networks. Since he joined the Smart Internet Lab, he is working for the EU H2020 5GINFire research project. In the past, he has worked for various EU funded H2020 and FP7 research projects such as 5GPPP-SliceNet and the FIA award-winning FP7-PURSUIT.

Past experience: His recent past research work involved 5G slicing technologies with a particular focus on MEC solutions and cognition approaches inspired by ML models towards self-managed 5G mobile networks. During his Ph.D. studies, he conducted research on clean-slate Information-Centric Networking (ICN) architectures, protocols and distributed solutions for the Future Internet, with an emphasis on proactive caching-based seamless mobility support, and rendezvous-based name resolution. He has co-supervised student theses and worked as a teaching assistant or teacher on various M.Sc. and B.Sc. courses such as Distributed Systems, Operating Systems, Android programming and Java programming. He is a regular reviewer for top-tier conferences and journals.

Educational background: Dr. Vasilakos holds a Ph.D. in Informatics from the Athens University of Economics and Business (AUEB), an M.Sc. degree in Parallel and Distributed Computer Systems from the Vrije Universiteit of Amsterdam and a B.Sc. in Informatics from AUEB. Before joining the Smart Internet Lab, he served as a postdoctoral fellow at Eurecom graduate school & research center, awarded with the French government LABEX (LABoratoires d’EXcellence) Postdoc Grant. While at Eurecom, he was also a member of the Mosaic 5G team for building open source community-led agile 5G platforms and projects.