Jordi Serra received the degree in telecommunications engineering in 2006, the Master of Research on Information and Communications technologies in 2012 and the Ph.D. in signal theory and communications in 2016 (cum-laude), all from the Polytechnic University of Catalonia (UPC), Barcelona, Spain.
He joined the Centre Tecnologic de Telecomunicacions de Catalunya (CTTC) in 2007, where he currently holds a position as a senior researcher at the Communications Technologies Division (CTD). From 2008 to 2010, he was awarded a Torres Quevedo Research Grant from the Spanish Ministry of Science and Innovation. He has actively participated in more than ten research projects funded by public and private entities. In two of these projects he has served as a task leader. These projects dealt with MIMO applicability to satellite communications; channel modeling in power line communications; signal processing in 4G and 5G networks; performance optimization and resource management in smart grids, wireless sensor networks, Internet of Things and 5G networks.
He is senior member of the IEEE. Moreover, he is the CTTC representative in the “Artificial Intelligence and Big Data” commission of AMETIC (the Spanish Association of Electronics, Information and Communications Technologies, Telecommunications and Digital Content Companies).
He has been co-recipient of the best demo award of the IEEE CAMAD 2018 conference, the ENIAC JU 2015 innovation award for the E2SG project and the second prize in the ENF´15 exhibition award.
He has been session chair at the IEEE CAMAD 2018 conference. Moreover, he is serving as a reviewer in signal processing and communications journals and conferenes such as IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications, IEEE ICASSP and IEEE Globecom. His current research interests include deep learning, random matrix theory, high dimensional statistics, large-scale optimization and its applications to 5G networks and the Internet of Things.
ORCID ID: http://orcid.org/0000-0001-7683-435X
H2020-ICT-2018-3 // Grant agreement ID: 856691
2014 SGR 1551
Contract code: TEC2011-29006-C03-01
Project contract code: TEC2008-06327-C03-03/TEC
Project contract/code: CTE.