Bruno Clerckx (Fellow, IEEE) is a (Full) Professor, the Head of the Communications and Signal Processing Group, and the Head of the Wireless Communications and Signal Processing Lab, within the Electrical and Electronic Engineering Department, Imperial College London, London, U.K. He received the MSc and Ph.D. degrees in Electrical Engineering from Université Catholique de Louvain, Belgium, and the Doctor of Science (DSc) degree from Imperial College London, U.K. He spent many years in industry with Silicon Austria Labs (SAL), Austria, where he was the Chief Technology Officer (CTO) responsible for all research areas of Austria's top research center for electronic based systems and with Samsung Electronics, South Korea, where he actively contributed to 4G (3GPP LTE/LTE-A and IEEE 802.16m). He has authored two books on “MIMO Wireless Communications” and “MIMO Wireless Networks”, 300 peer-reviewed international research papers, and 150 standards contributions, and is the inventor of 80 issued or pending patents among which several have been adopted in the specifications of 4G standards and are used by billions of devices worldwide. His research spans the general area of wireless communications and signal processing for wireless networks. He received the prestigious Blondel Medal 2021 from France for exceptional work contributing to the progress of Science and Electrical and Electronic Industries, the 2021 Adolphe Wetrems Prize in mathematical and physical sciences from Royal Academy of Belgium, multiple awards from Samsung, IEEE best student paper award, and the EURASIP (European Association for Signal Processing) best paper award 2022. He is a Fellow of the IEEE and the IET.
Prof. Ross Murch
Affiliation: The Hong Kong University of Science and Technology, Hong Kong
Email: eermurch [at] ust.hk
Ross Murch (Fellow, IEEE) received the bachelor’s and Ph.D. degrees in electrical and electronic engineering from the University of Canterbury, Christchurch, New Zealand, in 1987 and 1990, respectively. He was the Department Head of the Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology (HKUST), Hong Kong, for two three-year terms, from 2009 to 2015. He is currently a Chair Professor with the Department of Electronic and Computer Engineering and an IAS Fellow with the Institute of Advanced Study, HKUST. His unique expertise lies in his intradisciplinary knowledge of both wireless communication systems and electromagnetics. He publishes in both disciplines and research highlights from this intradisciplinary approach including being one of the first to propose multiuser multiple-input–multiple-output (MIMO) (MU-MIMO) systems and pioneering compact MIMO antenna designs. In total, his research contributions include nearly 200 journal publications and 20 patents. He has successfully supervised over 50 research students. His research focuses on creating new RF wave technology for making a better world; this includes areas such as the Internet of Things, RF imaging, RF sensing, RF navigation, ambient RF systems, energy harvesting, electromagnetic information theory, 6G, multiport antenna systems, and reconfigurable intelligent surfaces. Prof. Murch is a Fellow of the Institution of Engineering and Technology (IET) and The Hong Kong Institution of Engineers (HKIE). He has been involved in IEEE activities including being an Area Editor of IEEE Transactions on Wireless Communications and the Chair of the IEEE Technology Committee on Wireless Communications. He has won several prizes including three teaching awards.
Dr. Arman Shojaeifard
Affiliation: InterDigital, U.K.
Email: arman.shojaeifard [at] interdigital.com
Arman Shojaeifard (Senior Member, IEEE) received the B.Eng. degree in information systems engineering from the Imperial College London, in 2008, and the M.Sc. degree (Hons.) in signal processing and the Ph.D. degree in wireless communications from the King’s College London, in 2009 and 2012, respectively. He has extensive experience in project management, research, development, standardization of radio transmission technologies, protocols, and architectures. He is currently a R&I Senior Manager at InterDigital, where he is responsible for Radio Interface Research and Development at the Future Wireless Europe Laboratory. He also serves as the Chair of the ETSI Industry Specification Group on Reconfigurable Intelligent Surfaces (ISG RIS) and the Technical Manager of the CELTIC-NEXT European Collaborative Research and Development Project on AI-enabled Massive MIMO (AIMM). Prior to InterDigital, he was a Principal Researcher and the 3GPP RAN1 WG Delegate at British Telecommunications plc. Prior, he held postdoctoral research positions at University College London, University of Manchester, and King’s College London.
Prof. Marco Di Renzo
Affiliation: CentraleSupélec, France
Email: marco.direnzo [at] l2s.centralesupelec.fr
Marco Di Renzo (Fellow, IEEE) 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 (now Paris-Saclay University), France, in 2013. He works as the Coordinator of the Communications and Networks Research Area of the Laboratory of Excellence DigiCosme, Paris-Saclay University, where he is a member of the Admission and Evaluation Committee of the Ph.D. School on Information and Communication Technologies and the Head of the Intelligent Physical Communications Group, Laboratory of Signals and Systems, CentraleSupelec. Currently, he is a CNRS Research Director (a Professor) with the Laboratory of Signals and Systems (L2S), Paris-Saclay University—CNRS and CentraleSupelec, Paris, France. He serves as the Editor-in-Chief of IEEE Communications Letters. He is a Founding Member and the Vice Chair of the Industry Specification Group (ISG) on Reconfigurable Intelligent Surfaces (RIS), European Telecommunications Standards Institute (ETSI), where he serves as the Rapporteur for the work item on communication models, channel models, and evaluation methodologies. He is a fellow of the IET, AAIA, and Vebleo; an Ordinary Member of the European Academy of Sciences and Arts, and the Academia Europaea; and a Highly Cited Researcher. Also, he is a Fulbright Fellow, a Nokia Foundation Visiting Professor, and a Royal Academy of Engineering Distinguished Visiting Fellow. His recent research awards include the 2021 EURASIP Best Paper Award, the 2022 IEEE COMSOC Outstanding Paper Award, and the 2022 Michel Monpetit Prize from the French Academy of Sciences.
Prof. Eduard A. Jorswieck
Affiliation: Technical University of Braunschweig, Germany
Email: e.jorswieck [at] tu-braunschweig.de
Eduard A. Jorswieck (Fellow, IEEE) was the Head of the Chair of Communications Theory and a Full Professor at Technische Universität Dresden (TU Dresden), Germany, from 2008 to 2019. He is currently the Managing Director of the Institute of Communications Technology and the Head of the Chair of Information Theory and Communications Systems and a Full Professor with Technische Universität Braunschweig, Brunswick, Germany. He has coauthored some 160 journal articles, 15 book chapters, four monographs, and more than 300 conference papers. His research interests include communications. In 2006, he received the IEEE Signal Processing Society Best Paper Award. He has served on the editorial boards of IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications, IEEE Signal Processing Letters, and IEEE Transactions on Information Forensics and Security. Since 2017, he serves as the Editor-in-Chief for the EURASIP Journal on Wireless Communications and Networking (Springer). He currently serves as an Editor for IEEE Transactions on Communications.
Matteo Nerini (Member, IEEE) received the B.Sc. in electronic engineering and the M.Sc. degree in telecommunications engineering from the University of Bologna, Italy, in 2018 and 2020, respectively, the M.Sc. degree in communication technology from the Norwegian University of Science and Technology (NTNU), Norway, in 2020, and the Ph.D. degree in electrical and electronic engineering from Imperial College London, U.K., in 2024. He was a Visiting Researcher with the Chair of Signal Processing Methods, Technical University of Munich, Germany, in 2023. He is currently a Postdoctoral Research Associate with the Wireless Communications and Signal Processing Laboratory, Imperial College London, U.K. His research interests include signal processing and machine learning for wireless communications.
Shanpu Shen (Hong Kong University of Science and Technology, H.K.)
Mohammed El-Hajjar (University of Southampton, U.K.)
Lajos Hanzo (University of Southampton, U.K.)
Hongyu Li (Imperial College London, U.K.)
Rui Zhang (The Chinese University of Hong Kong, Shenzhen, China & National University of Singapore, Singapore)
Yijie (Lina) Mao (ShanghaiTech University, China)
Yang Huang (Nanjing University of Aeronautics and Astronautics, China)
Golsa Ghiaasi (Silicon Austria Labs, Austria)
Hans-Peter Bernhard (Silicon Austria Labs, Austria)
Christoph Wagner (Silicon Austria Labs, Austria)
Christoph Mecklenbräuker (TU Wien, Austria)
Ertugrul Basar (Koc University, Turkey)
George C. Alexandropoulos (National Technical University of Athens, Greece)
Jie Xu (The Chinese University of Hong Kong, Shenzhen, China)
Robert Schober (University of Erlangen–Nuremberg, Germany)
Chau Yuen (Nanyang Technological University, Singapore)
Yajun Zhao (ZTE, China)
Linglong Dai (Tsinghua University, China)
Markku Juntti (University of Oulu, Finland)
Qingqing Wu (Shanghai Jiao Tong University, China)
Cristian Della Giovampaola (WaveUp, Italy)
Peiying Zhu (Huawei, Canada)