Sustainable Artificial Intelligence (SAI)
Email: firstname.lastname@example.orgPhone: +34 93 645 29 00
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 participated in more than twenty research projects funded by either private entities or public institutions within the framework of H2020, FP7 EU programs. In five of those projects he served as the technical leader at CTTC. In two of these projects he has served as a task leader. The topics of those 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 B5G networks. Moreover, he has actively participated in obtaining funds from H2020 EU research programs. In several of those project proposals he envisaged the CTTC technical contribution.
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. Also, he was part of the technical program committee in the IEEE CAMAD 2019 and 2020 conferences. 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 Green Communications, IEEE Network, 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 B5G networks and the Internet of Things.
He has been co-advisor of one MSc. Thesis in computer science at the University of Barcelona (UB). Also, he has been co-advisor of five MSc. students’ internships.
ORCID ID: http://orcid.org/0000-0001-7683-435X
Relevant research projects
– DARLENE, Work package leader.
-SEMIoTICS (H2020/ICT IoT-03-2017). Responsabilities: Project task leader and technical coordinator of CTTC’s contribution. Technical contribution: Network Function Virtualization (NFV) for Internet of Things (IoT). Namely, NFV resource allocation; testbed development, testing and integration with other SEMIoTICS systems.
-IoSense (Ecsel). Responsabilities: Technical coordinator and leader of CTTC’s contribution. Technical contribution: Power consumption minimization of wireless sensor networks (WSN) in the IoT context. Namely, energy harvesting for IoT and power consumption minimization of WSN in distributed massive MIMO.
–E2SG (ENIAC Call 01-2011). Responsabilities: Technical coordinator and leader of CTTC’s contribution. Technical contribution: Energy consumption minimization with comfort constraints in buildings. Development and testbed implementation of online learning and optimization algorithms. Co-recipient of the ENIAC JU 2015 innovation award.
–ESEE (ENIAC-ED-52). Responsabilities: Technical coordinator and leader of CTTC’s contribution. Technical contribution: Air quality monitoring in buildings based on WSN, development and testbed implementation. Co-recipient of the second prize in the ENF´15 exhibition award.
–COPCAMS (Artemis). Responsabilities: Technical coordinator and leader of CTTC’s contribution. Technical contribution: Intrusion detection based on an array of multiple IR sensors, as a support system of the cognitive cameras. Algorithm development and testbed implementation.
–ioTWORLD (Internal project). Responsabilities: Technical leader. Technical contribution: the ones described above in E2SG, ESEE, COPCAMS and IoSense projects.
–LTE Listen mode (R&D project with Ubiquisys now Cisco). Responsabilities: Task leader. Technical contribution: Synchronization algorithms for LTE- TDD.
–AT4Wireless (R&D project with AT4Wireless). Responsabilities: Task leader. Technical contribution: Migration of the downlink LTE-FDD phy-layer to LTE-TDD. High TRL prototype.
–MIMO SAT – MIMO applicability to satellite networks (ESA). Responsabilities: Task leader, responsible of the end-to-end MIMO transceiver simulator. Technical contribution: Channel modeling, implementation of MIMO transceiver simulator, turbo encoding/decoding.
–GAD (Cenit). Responsabilities: Task leader. Technical contribution: channel modeling, multicarrier communication techniques for power line communications.
–BeFEMTO (ICT-FP7-248523). Responsabilities: Supervision of an undergraduate student and technical contributor. Technical contribution: Detection of primary users in cognitive radios for LTE.
-SPOT5G (I+D MINECO 2017). Responsabilities: Technical contributor. Technical contribution: IoT data analytics and network slicing for 5G.
-2014 SGR 1551 (SGR). Responsabilities: Technical contributor. Technical contribution: Random Matrix theoretical approach to parameter estimation for wireless communications.
Relevant project proposals
-OpenXG (H2020. ICT-52-2020). Responsabilities: Work package coordinator, Ambition section coordinator, contributor in the impact and objectives section. Technical contributions: multi-layer intelligence at the RAN for context-aware dynamic resource allocation and RAN control.
-Triaspond (H2020-SU-SEC-2018-2019-2020). Responsabilities: Dissemination and communication manager, work Package coordinator, contributor of the ambition section, CTTC’s tasks descriptions. Technical contributions: context-aware AI-driven network resource management for emergency services.
-Pandora (EDIDP-CSAMN-SSS-2019). Responsabilities: CTTC’s budget computation, Definition and description of one of the project’s use cases. Technical contributions: AI-driven incident detection and handling mechanisms in the context of cyber threats in military sensor networks.
–INTI (Ayudas BBVA-BIG DATA 2017). Responsabilities: Technical leader. Conceive technical contributions and write all the proposal: objectives, research methodology, work plan, dissemination, budget. Technical contributions: Machine learning for IoT, analyzing Big Data with low latency requirements at the network edge, based on distributed, federated and online learning.
-IoTImpulse (ECSEL JU RIA 2016). Responsabilities: Lead description of CTTC’s technical contributions in WP2, 3 and 5. Technical contributions: Energy efficient communications in IoT, dimensionality reduction techniques to reduce the amount of transmitted information.
–S5 (ECSEL JU RIA 2014). Responsabilities: Leading the description of the CTTC’s technical contribution in the project. Technical contributions: Detection of security events in smart buildings based on acoustic wireless sensor network (WASN)
–SCALE-IoT-UP (H2020-IoT-01-2016 IA). Responsabilities and contributions: Description of the IoTWORLD testbed in the partners’ profile.
–5GLab (Feder Infrastructure 2018) . Responsabilities and contributions: research motivation and description of the requested equipment for the extension of the IoTWORLD testbed to 5G.