We continue with the Plenary Speakers series announcing one speaker every week.

The second Plenary Keynote is entitled From compressed sensing to deep learning: tasks, structures, and models and presented by Yonina Eldar. You can find more information at Plenary Speakers section.

Do not miss the last announced Plenary Speaker on next week!

Pol Henarejos

Pol Henarejos received the Telecommunication Engineering degree from the Telecommunication Engineering High School from Barcelona (ETSETB) of Technical University of Catalonia (UPC) in May 2009. In 2012, he obtained the Master of Science in Research on Information and Communication Technologies from UPC. In 2017, he obtained the Ph.D. degree from UPC, with a distinction Cum Laude. He joined the CTTC in January 2010 in Engineering area and he worked prototyping the physical layer communication technologies using software development. He is an expert in terrestrial and satellite technologies, such as LTE, 5G-NR, DVB-S2X, BGAN or Li-Fi. He participated in European projects such as PHYDYAS and FANTASTIC-5G, in European Space Agency programs (Satnex III, Satnex IV, SATAI) and with industrial contracts. He is also the promoter of the CASTLE Platform, a cloudified architecture for hybrid satellite and terrestrial networks. Currently he is researching on the development of new Artificial Intelligence algorithms for satellite communications, implementation of physical stack of many standards and enabling 5G and beyond technologies on flexible multicast and broadcast communications.

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