Speakers 2023

Dr. Jordi Serra received the Telecommunications Engineering degree in 2006 and the Ph.D. in signal theory and communications in 2016, all from the Polytechnic University of Catalonia (UPC), Barcelona, Spain.

He joined the Telecommunications Technological Center of Catalonia (CTTC) in 2007, where he currently holds a position as a senior researcher in the Sustainable Artificial Intelligence (SAI) research unit. He has participated in research projects funded within the framework of H2020 EC programs and funded by private entities. In those projects he dealt with several topics such as resource management, signal processing and machine learning applied to 5G networks and Internet of Things domains. He has been principal investigator in the DARLENE H2020 project and in the PANDORA EDIDP project. Jordi Serra is a senior member of the IEEE. He has been session chair at the IEEE CAMAD 2018 conference. He was invited to give a scientific presentation at the Visions for Future Communications Summit, organized by NetworldEurope, 6G-IA, the European Commission and IEEE in 2021. He has been co-recipient of the prize for the best demonstration of the IEEE CAMAD 2018 conference, the ENIAC JU 2015 innovation prize for the E2SG project and the second prize in the ENF'15 exhibition prize. His current research interests include AI sustainability, high-dimensional probability and statistics, large-scale optimization, and its applications to B5G networks and the Internet of Things.

Mikael Gidlund received the M.Sc. and Ph.D. degrees in electrical engineering from Mid Sweden University, Sundsvall, Sweden, in 2000 and 2005, respectively. In 2005, he was a Visiting Researcher with the Department of Informatics, University of Bergen, Bergen, Norway. From 2006 to 2007, he was a Research Engineer and a Project Manager with Acreo AB, Kista, Sweden, where he was responsible for wireless broadband communication. From 2007 to 2008, he was a Senior Specialist and a Project Manager with Nera Networks AS, Bergen, where he was responsible for next-generation IP-based radio solutions. From 2008 to 2014, he was a Senior Principal Scientist and head of wireless and mobility solutions with ABB Corporate Research, Västerås, Sweden, where he was responsible for technology and strategy plans, standardization, and innovation in the wireless automation area. Since 2014, he has been a Full Professor of computer engineering with Mid Sweden University and he is an adjunct professor at Beijing Jiaotong University, China. He holds over 20 patents (granted and pending applications) in wireless communications. His current research interests are within intelligent wireless communication and networks for industrial applications.

Professor Gidlund received the Best Paper Award at the IEEE International Conference on Industrial IT in 2014. He was a co-author to the 2022 IEEE Sweden VT-COM-IT Joint Chapter Best Student Journal Paper Award (Awarded to Luca Beltramelli for the paper “LoRa Beyond ALOHA: An Investigation of Alternative Random-Access Protocols,). Between 2019-2021 he was the Chair of the IEEE IES Technical committee on Cloud and Wireless Systems for Industrial Applications. He is an Associate Editor of the IEEE Trans. on Industrial Informatics, IEEE Journal of Emerging and Selected Topics in Industrial Electronics.

Emil Björnson is a Professor of Wireless Communication at the KTH Royal Institute of Technology, Stockholm, Sweden. He is an IEEE Fellow, Digital Futures Fellow, and Wallenberg Academy Fellow. He has a podcast and YouTube channel called Wireless Future. His research focuses on multi-antenna communications and radio resource management, using methods from communication theory, signal processing, and machine learning. He has authored three textbooks and has published a large amount of simulation code.

He has received the 2018 and 2022 IEEE Marconi Prize Paper Awards in Wireless Communications, the 2019 EURASIP Early Career Award, the 2019 IEEE Communications Society Fred W. Ellersick Prize, the 2019 IEEE Signal Processing Magazine Best Column Award, the 2020 Pierre-Simon Laplace Early Career Technical Achievement Award, the 2020 CTTC Early Achievement Award, the 2021 IEEE ComSoc RCC Early Achievement Award, and the 2023 IEEE Communications Society Outstanding Paper Award. His work has also received six Best Paper Awards at conferences.

Maya Neytcheva has finished the Faculty of Mathematics and Informatics at Sofia University with specialization Mathematical Modelling. In 1995 she obtained her PhD degree at the Catholic University of Nijmegen (now Radboud University), Netherlands, on the topic 'Arithmetic and communication complexity of preconditioning methods'. Since 2001 she moved to the Department of Information Technology, Uppsala University in Sweden on the position of associate professor. She became docent in 2005 and professor in 2016.

Her research interests and expertise include numerical analysis, numerical solution methods, preconditioned iterative solution methods, multilevel methods, parallelization of iterative solution methods, parallel aspects of numerical algorithms, applied to various applications, mostly modelled by partial differential equations.