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.

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.

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.