Luca Sanguinetti (SM’15) received the Laurea Telecommunications Engineer degree (cum laude) and the Ph.D. degree in information engineering from the University of Pisa, Italy, in 2002 and 2005, respectively. Since 2005 he has been with the ‘Dipartimento di Ingegneria dell’Informazione of the University of Pisa. In 2004, he was a visiting Ph.D. student at the German Aerospace Center (DLR), Oberpfaffenhofen, Germany. During the period June 2007 – June 2008, he was a postdoctoral associate in the Dept. Electrical Engineering at Princeton. During the period June 2010 – Sept. 2010, he was selected for a research assistantship at the Technische Universitat Munchen. From July 2013 to October 2017 he was with Large Systems and Networks Group (LANEAS), CentraleSup’elec, Gif-sur-Yvette, France. He is currently an Associate Professor in the ‘Dipartimento di Ingegneria dell’Informazione’ of the University of Pisa, Italy.
He served as Exhibit Chair of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) and as the General Co-chair of the 2016 Tyrrhenian Workshop on 5G&Beyond. He served as Technical Program Co-Chair of European Wireless 2018, as Special Session Chair of the International Symposium on Wireless Communication Systems 2018 (ISWCS18), and as Poster Co-Chair of IEEE Communication Theory Workshop 2019 (CTW2019). He is the Executive Co-Chair of IEEE ICC 2023, which will be held in Rome in June 2023.
He served as an Associate Editor for IEEE Transactions on Wireless communications, and as Lead Guest Editor of IEEE Journal on Selected Areas of Communications Special Issue on “Game Theory for Networks” and as an Associate Editor for IEEE Journal on Selected Areas of Communications (series on Green Communications and Networking). Dr. Sanguinetti is currently serving as an Associate Editor for the IEEE Signal Processing Letters and IEEE Transactions on Communications and is a member of the Executive Editorial Committee of IEEE Transactions on Wireless Communications.
His expertise and general interests span the areas of communications and signal processing. Dr. Sanguinetti has co-authored the textbook Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency (2017). He received the 2018 Marconi Prize Paper Award in Wireless Communications and co-authored a paper that received the young best paper award from the ComSoc/VTS Italy Section. He was the co-recipient of two best conference paper awards: IEEE WCNC 2013 and IEEE WCNC 2014. He was the recipient of the FP7 Marie Curie IEF 2013 “Dense deployments for green cellular networks”.
Emil Bjornson (S’07-M’12-SM’17) received the M.S. degree in engineering mathematics from Lund University, Sweden, in 2007, and the Ph.D. degree in telecommunications from the KTH Royal Institute of Technology, Sweden, in 2011. From 2012 to 2014, he held a joint post-doctoral position at the Alcatel-Lucent Chair on Flexible Radio, SUPELEC, France, and the KTH Royal Institute of Technology. He joined Linkoping University, Sweden, in 2014, where he is currently an Associate Professor and a Docent with the Division of Communication Systems. He has authored the textbooks Optimal Resource Allocation in
Coordinated Multi-Cell Systems (2013) and Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency (2017). He is dedicated to reproducible research and has made a large amount of simulation code publicly available. He performs research on MIMO communications, radio resource allocation, machine learning for communications, and energy efficiency. Since 2017, he has been on the Editorial Board of the IEEE TRANSACTIONS ON COMMUNICATIONS and the IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING since 2016. He has performed MIMO research for over ten years and has filed more than ten MIMO related patent applications. He has received the 2014 Outstanding Young Researcher Award from IEEE ComSoc EMEA, the 2015 Ingvar Carlsson Award, the 2016 Best Ph.D. Award from EURASIP, the 2018 IEEE Marconi Prize Paper Award in Wireless Communications, the 2019 EURASIP Early Career Award, and the 2019 IEEE Communications Society Fred W. Ellersick Prize. He also co-authored papers that received Best Paper Awards at the conferences, including WCSP 2009, the IEEE CAMSAP 2011, the IEEE WCNC 2014, the IEEE ICC 2015, WCSP 2017, and the IEEE SAM 2014.
Osvaldo Simeone is a Professor of Information Engineering with the Centre for Telecommunications Research at the Department of Informatics of King’s College London. He received an M.Sc. degree (with honors) and a Ph.D. degree in information engineering from Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively.From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT), where he was affiliated with the Center for Wireless Information Processing (CWiP). His research interests include wireless communications, information theory, optimization and machine learning. Dr. Simeone is a co-recipient of the 2019 IEEE Communication Society Best Tutorial Paper Award, the 2018 IEEE Signal Processing Best Paper Award, the 2017 JCN Best Paper Award, the 2015 IEEE Communication Society Best Tutorial Paper Award and of the Best Paper Awards of IEEE SPAWC 2007 and IEEE WRECOM 2007. He was awarded a Consolidator grant by the European Research Council (ERC) in 2016. His research has been supported by the U.S. NSF, the ERC, the Vienna Science and Technology Fund, as well as by a number of industrial collaborations. He currently serves in the editorial board of the IEEE Signal Processing Magazine, and he is a Distinguished Lecturer of the IEEE Information Theory Society. Dr Simeone is a co-author of two monographs, an edited book published by Cambridge University Press, and more than one hundred research journal papers. He is a Fellow of the IET and of the IEEE.
Maria Sabrina Greco joined the Dept. of Information Engineering of the University of Pisa in 1993, where she is Full Professor since Dec. 2016. She’s IEEE fellow since Jan. 2011 and she was co-recipient of the 2001 and 2012 IEEE Aerospace and Electronic Systems Society’s Barry Carlton Awards for Best Paper and recipient of the 2008 Fred Nathanson Young Engineer of the Year award for contributions to signal processing, estimation, and detection theory. She has been general-chair, technical program chair and organizing committee member of many international conferences over the last 10 years. She has been Lead Guest Editor of the special issue on “Advanced Signal Processing for Radar Applications” of the IEEE Journal on Special Topics of Signal Processing, December 2015, guest co-editor of the special issue of the Journal of the IEEE Signal Processing Society on Special Topics in Signal Processing on “Adaptive Waveform Design for Agile Sensing and Communication,” published in June 2007. She’s Associate Editor of IET Proceedings – Sonar, Radar and Navigation, Editor-in-Chief of the IEEE Aerospace and Electronic
Systems Magazine, member of the Editorial Board of the Springer Journal of Advances in Signal Processing (JASP), and Senior Editorial board member of IEEE Journal on Selected Topics of Signal Processing (J-STSP). She’s also member of the IEEE AES and IEEE SP Board of Governors and Past Chair of the IEEE AESS Radar Panel. She has been as well SP Distinguished Lecturer for the years 2014-2015, and now she’s AESS Distinguished Lecturer for the years 2015-2017 and member of the IEEE Fellow Committee. Her general interests are in the areas of statistical signal processing, estimation and detection theory. She co-authored many book chapters and more than 190 journal and conference papers.
Dr. Martina Cardone joined the Electrical and Computer Engineering Department at the University of Minnesota as an Assistant Professor in January 2018. From November 2017 to January 2018 she was a post-doctoral associate within the same department. From July 2015 to August 2017, she was a post-doctoral research fellow in the Electrical and Computer Engineering Department at UCLA Henry Samueli School. Dr. Cardone received her B.Sc. and M.Sc. from Politecnico di Torino in 2009 and 2011, respectively. As part of a Double Degree program, in 2011 she also earned a M.Sc. from Télécom ParisTech – EURECOM. In April 2015, she received my Ph.D. in Electronics and Communications from EURECOM – Télécom ParisTech.
Mari Kobayashi received the B.E. degree in electrical engineering from Keio University, Yokohama, Japan, in 1999, and the M.S. degree in mobile radio and the Ph.D. degree from École Nationale Supérieure des Télécommunications, Paris, France, in 2000 and 2005, respectively. From November 2005 to March 2007, she was a postdoctoral researcher at the Centre Tecnològic de Telecomunicacions de Catalunya, Barcelona, Spain. In May 2007, she joined the Telecommunications department at CentraleSupélec, Gif-sur-Yvette, France, where she is now a professor. She is the recipient of the Newcom++ Best Paper Award in 2010, and IEEE Comsoc/IT Joint Society Paper Award in 2011. Since September 2017, she is on a sabbatical leave at Technical University of Munich (TUM) as an Alexander von Humboldt Experienced Research Fellow.
Erik G. Larsson is Professor at Linköping University, Sweden, and a Fellow of the IEEE. He co-authored Fundamentals of Massive MIMO (Cambridge, 2016) and Space-Time Block Coding for Wireless Communications (Cambridge, 2003). Recent service includes membership of the IEEE Signal Processing Society Awards Board (2017–2019), the IEEE Signal Processing Magazine editorial board (2018–2020), and the IEEE Transactions on Wireless Communications steering committee (2019–2022). He received the IEEE Signal Processing Magazine Best Column Award twice, in 2012 and 2014, the IEEE ComSoc Stephen O. Rice Prize in Communications Theory 2015, the IEEE ComSoc Leonard G. Abraham Prize 2017 and the IEEE ComSoc Best Tutorial Paper Award 2018.
Angel Lozano (S’90 – M’99 – SM’01 – F’14) received a Ph.D. from Stanford University in 1998. In 1999, he joined Bell Labs (Lucent Technologies, now Nokia) in Holmdel, NJ, where he was a Member of the Wireless Communications Research Department until 2008. He is currently a Professor at Universitat Pompeu Fabra (UPF), Barcelona, and the co-author of the textbook “Foundations of MIMO Communication” (Cambridge University Press, 2019). He serves as Area Editor for the IEEE Transactions on Wireless Communications and as Editor for the IEEE Communication Technology News. He received the 2009 Stephen O. Rice Prize for the Best Paper published in the IEEE Transactions on Communications, the 2016 Fred W. Ellersick prize to the best paper published in the IEEE Communications Magazine, and the 2016 Communications Society & Information Theory Society joint paper award. He holds an Advanced Grant from the European Research Council and was a 2017 Clarivate Analytics Highly Cited Researcher.
Dr. Tim O’Shea is Co-Founder and CTO at DeepSig, and an Assistant Professor at Virginia Tech’s in Arlington Virginia. He is focused on applied research and development in the area of machine learning and data driven synthesis of signal processing systems in wireless communications. He has previously led research programs for NSF and DARPA, developed core features within the GNU Radio project, published over 50 peer reviewed articles and papers in the field of signal processing and machine learning. He previously worked on signal processing efforts at startups Hawkeye360 and Federated Wireless, serves as co-chair for IEEE Machine Learning for Communications ETI, as an editor for IEEE TWC and TCCN, and as a reviewer for Nature: Machine Intelligence. He is now focused on building the next generation of machine learning based communications systems and signal processing algorithms at DeepSig and is co-inventor on over 25 patent applications.
Dr. Onur Sahin received B.S. degree (hons) in electrical and electronics engineering from Middle East Technical University, Ankara, Turkey, in 2003 and the M.Sc. (summa cum laude) and Ph.D. degrees in electrical engineering from the Polytechnic Institute of New York University, USA, in 2005 and 2009, respectively. He is currently a Senior Staff Engineer (Technical Manager) at InterDigital Europe under Innovation Labs. Dr. Sahin’s primary research and development areas are on next generation telecommunication and wireless systems (including 5G and beyond) with particular emphasis on PHY/MAC layer technologies, network information theory, and network and internet architectures with upper layer protocol design. Dr. Sahin has held technical lead positions at multiple projects on the development of next generation cellular and Wi-Fi systems including 3GPP 5G NR and IEEE 802.11 standards. He is the co-author of over 50 peer-reviewed scientific articles (1000+ citations, h-index:16), co-inventor of 25 patents and patent applications, and serves as a Guest Editor for Journal of Communication Networks. Dr. Sahin was a visiting scholar at Imperial College London, UK during the Fall 2013 and Spring 2014 semesters. He is the recipient of 2012 and 2015 InterDigital Innovation Awards. Dr. Sahin is also co-recipient of the 2018 IEEE Signal Processing Society Best Paper Award and the 2017 Journal of Communication Networks Best Paper Award.
Shi Jin (S’06-M’07-SM’17) received the B.S. degree in communications engineering from Guilin University of Electronic Technology, Guilin, China, in 1996, the M.S. degree from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2003, and the Ph.D. degree in information and communications engineering from the Southeast University, Nanjing, in 2007. From June 2007 to October 2009, he was a Research Fellow with the Adastral Park Research Campus, University College London, London, U.K. He is currently with the faculty of the National Mobile Communications Research Laboratory, Southeast University. His research interests include space time wireless communications, random matrix theory, and information theory. He serves as an Associate Editor for the IEEE Transactions on Wireless Communications, and IEEE Communications Letters, and IET Communications. Dr. Jin and his co-authors have been awarded the 2011 IEEE Communications Society Stephen O. Rice Prize Paper Award in the field of communication theory and a 2010 Young Author Best Paper Award by the IEEE Signal Processing Society.