Chair | Jakob Hoydis
Jakob Hoydis (S’08-M’12) received the diploma degree in electrical engineering from RWTH Aachen University, Germany, and the Ph.D. degree from Supéléc, France, in 2008 and 2012, respectively. He is a member of technical staff at Nokia Bell Labs, France, where he is investigating applications of deep learning for the physical layer. Before this, he was co-founder and CTO of the social network SPRAED and worked for Alcatel-Lucent Bell Labs in Stuttgart, Germany. His current research interests are in the broad areas of machine learning applied to signal processing and wireless communications. He is a co-author of the textbook “Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency” (2017). He is recipient of the 2018 Marconi Prize Paper Award, the 2018 Nokia AI Innovation Award, the 2015 Leonard G. Abraham Prize, the IEEE WCNC 2014 best paper award, the 2013 VDE ITG Förderpreis, and the 2012 Publication Prize of the Supéléc Foundation.
Vice Chairs | Tim O’Shea
Tim O’Shea is the CTO at DeepSig and a Research Assistant Professor at Virginia Tech where he is focused on building future wireless systems for 5G and beyond by leveraging machine learning and data-centric design at the physical layer. He has led applied research in software radio, cognitive radio and security at VT, USG, Hawkeye360, and Federated Wireless for over 10 years, is a core developer of the GNU Radio project, and a senior member of the IEEE. His research and publications have focused on leveraging deep learning techniques to advance core problems in wireless communications and he is currently working on applied efforts to rapidly advance the performance, capabilities and adaptive nature of communications systems at the physical layer and under high degrees of freedom.
Vice Chairs | Elisabeth de Carvalho
Elisabeth de Carvalho received the Ph.D. degree in electrical engineering from Telecom ParisTech, France in 1999. After her Ph.D. degree, she was a Post-Doctoral Fellow at Stanford University, Stanford, CA, USA, and then worked in industry in the field of DSL and wireless LAN. Since 2005, she has been with Aalborg University, where she is a Professor and has led several research projects in wireless communications. She has co-authored the book “A Practical Guide to MIMO Radio Channel”. Her main expertise is in the field of signal processing with emphasis on MIMO communications. She is a member of IEEE Signal Processing Society, technical committee “Signal Processing for Communications and Networking” (SPCOM) and vice chair of the IEEE COMSOC Emerging Technology Initiative on Machine Learning for Communications. She is the project manager of the H2020 Innovative Training Network WindMill focusing on machine learning for wireless communications.
Vice Chairs | Marwa Chafii
Marwa Chafii received her Ph.D. degree in Telecommunications in 2016, and her Master degree in the field of advanced wireless communication systems (SAR) in 2013, both from CentraleSupelec, France. Between 2014 and 2016, she has been a visiting researcher at Poznan University of Technology (Poland), University of York (UK), Yokohama National University (Japan), and University of Oxford (UK). She joined the Vodafone Chair Mobile Communication Systems at the Technical University of Dresden, Germany, in February 2018 as a research group leader. She received the 2018 Ph.D. prize in the field of Signal, Image & Vision in France. Since September 2018, she is an associate professor at ENSEA, University of Paris-Seine, France, and head of Research and Studies at Women in AI. Her research interests include machine learning for wireless communications, cellular Internet of Things, and advanced waveforms for multi-carrier systems.
Hugo Tullberg is a Master Researcher at Research Area Radio, Ericsson Research, Stockholm, where he works with Beyond-5G communication systems. His research interests include wireless communication and information theory, machine learning and artificial intelligence, and network reliability and security, converging into reliability of distributed machine learning on resource constrained platforms. Hugo Tullberg has extensive experience of international collaboration projects and standardization. He is on the EuCNC Steering Committee, has served on numerous technical program committees, and as reviewer for several journals. Hugo Tullberg has a M.Sc. degree in Electrical Engineering from Lund University, and a Ph.D. degree in Electrical Engineering, Communication Theory and Systems, from the University of California at San Diego.
Yan Xin (S’00, M’03, SM’10) received the B.E. degree in electronics engineering from Beijing University of Technology, Beijing, China, in 1992, the M. Sc. degree in mathematics, the M.Sc. degree in electrical engineering, and the Ph.D. degree in electrical engineering from University of Minnesota, Minneapolis, in 1998, 2000, and 2003, respectively. From 2004 to 2008, he was an assistant professor in the Department of Electrical and Computer Engineering, National University of Singapore. He is now a research engineer at Applied Machine Learning group, FutureWei Technologies Inc. (Huawei USA R&D Division), Bridgewater, New Jersey. His current research interests are in the areas of machine learning, artificial intelligence, network optimization and wireless communications. Dr. Xin was the co-recipient of the 2004 IEEE Marconi Prize Paper Award in wireless communications.
Workshops, Tutorials, & Symposia Officer | Slawomir Stanczak
Slawomir Stanczak studied electrical engineering with specialization in control theory at the Wroclaw University of Technology and at the Technical University of Berlin (TU Berlin). He received the Dipl.-Ing. degree in 1998 and the Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin; the Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor for network information theory with TU Berlin and the head of the Wireless Communications and Networks department. Prof. Stanczak is a co-author of two books and more than 200 peer-reviewed journal articles and conference papers in the area of information theory, wireless communications, signal processing and machine learning.He was an Associate Editor of the IEEE Transactions on Signal Processing between 2012 and 2015.
Workshops, Tutorials, & Symposia Officer | Marios Kountouris
Marios Kountouris (S’04–M’08–SM’15) received the diploma degree in electrical and computer engineering from NTUA, Athens, Greece in 2002 and the M.S. and Ph.D. degrees in electrical engineering from Télécom ParisTech, France in 2004 and 2008, respectively. Since May 2019, he has been an Associate Professor and Chair PI on machine learning for 6G wireless systems at EURECOM, France. Prior to his current appointment, he has hold positions at Huawei Paris Research Center, CentraleSupélec, France, The University of Texas at Austin, USA, and Yonsei University, S. Korea. He currently serves as Associate Editor for the IEEE Transactions on Wireless Communications, the IEEE Transactions on Signal Processing, and the IEEE Wireless Communication Letters. He received the 2016 IEEE ComSoc Communication Theory Technical Committee Early Achievement Award, the 2013 IEEE ComSoc Outstanding Young Researcher Award for the EMEA Region, the 2014 Best Paper Award for EURASIP Journal on Advances in Signal Processing, the 2012 IEEE SPS Signal Processing Magazine Award, the IEEE SPAWC 2013 Best Student Paper Award, and the Best Paper Award in Communication Theory Symposium at IEEE Globecom 2009.
Workshops, Tutorials, & Symposia Officer | Marco di Renzo
Marco di Renzo was born in L’Aquila, Italy, in 1978. He received the Laurea (cum laude) and Ph.D. degrees in electrical engineering from the University of L’Aquila, Italy, in 2003 and 2007, respectively, and the Habilitation à Diriger des Recherches (Doctor of Science) degree from University Paris-Sud, France, in 2013. Since 2010, he has been a Chargé de Recherche CNRS (CNRS Associate Professor) in the Laboratory of Signals and Systems (L2S) of Paris-Saclay University – CNRS, CentraleSupélec, Univ Paris Sud, Paris, France. He serves as the Associate Editor-in-Chief of IEEE Communications Letters, and as an Editor of IEEE Transactions on Communications, and IEEE Transactions on Wireless Communications. He is a Distinguished Lecturer of the IEEE Vehicular Technology Society and IEEE Communications Society, and a Senior Member of the IEEE. He is a recipient of several awards, including the 2013 IEEE-COMSOC Best Young Researcher Award for Europe, Middle East and Africa, the 2014-2015 Royal Academy of Engineering Distinguished Visiting Fellowship, the 2015 IEEE Jack Neubauer Memorial Best System Paper Award, and the 2017 SEE-IEEE Alain Glavieux Award.
Datasets & Competitions Officer | Maximilian Arnold
Maximilian Arnold received the B.Sc. (2014) and M.Sc (2016) from Stuttgart University in electrical engineering. In 2016 he joined the institute of telecommunication as a PHD student. He received a best student paper award on ISWCS2017 for his work in Massive MIMO measurements. His current research topics are development of prototypes for Massive MIMO and Deep Learning techniques applied to Massive MIMO.
Fayçal Ait Aoudia received the M.Sc degree in computer science engineering from the National Institute of Applied Sciences of Lyon (INSA Lyon) in 2014, and the Ph.D degree in signal processing from the University of Rennes 1 in 2017. His Ph.D work focused on energy management and communication protocols design for autonomous wireless sensor networks. Since 2017, he is a Researcher at Nokia Bell Labs France, where he works on machine learning for wireless communications. He has received the 2018 Nokia AI Innovation Award.
Research Blog Officer | Emil Björnson
Emil Björnson (S’07-M’12-SM’17) received the M.S. degree from Lund University, Sweden, in 2007. He received the Ph.D. degree from KTH Royal Institute of Technology, Sweden, in 2011. He is currently Associate Professor and Docent at Linköping University. He is the first author of the textbooks “Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency” (2017) and “Optimal Resource Allocation in Coordinated Multi-Cell Systems” from 2013. He is on the editorial board of the IEEE Transactions on Communications and the IEEE Transactions on Green Communications and Networking. He is dedicated to reproducible research and has made a large amount of simulation code publicly available. He received the 2018 Marconi Prize Paper Award in Wireless Communications, the 2016 Best PhD Award from EURASIP, the 2015 Ingvar Carlsson Award, and the 2014 Outstanding Young Researcher Award from IEEE ComSoc EMEA. He also co-authored papers that received best paper awards at the conferences WCSP 2017, IEEE ICC 2015, IEEE WCNC 2014, IEEE SAM 2014, IEEE CAMSAP 2011, and WCSP 2009. He performs research on multi-antenna communications, Massive MIMO, radio resource allocation, machine learning, and energy-efficient communications.
Research Blog Officer | Carolina Fortuna
Carolina Fortuna is a research fellow at the Jozef Stefan Institute. She received her PhD in CS in 2013, her BSc in 2006, was a postdoctoral research associate at Ghent University, 2014-2015 and a visitor at Stanford University in 2017. Her research is interdisciplinary, focusing on data and knowledge driven modeling of communication and sensor systems. She authored over 60 peer reviewed papers at top journals and conferences and is the co-editor of a Wiley book on the Internet of Things. She wrote several EU funded research grants, contributed to EU funded research projects, including as a technical coordinator and is consulting Bloomberg, NY.