Bile Peng (Senior Member, IEEE) received the Ph.D. degree with distinction from the Institute of Communications Technology, Technische Universität Braunschweig in 2018. He has been a Postdoctoral researcher in the Chalmers University of Technology, Sweden from 2018 to 2019, a development engineer at IAV GmbH, Germany from 2019 to 2020. Currently, he is a Postdoctoral researcher in Institute of Communications Technology, Technische Universität Braunschweig, Germany. His research interests include Bayesian inference and machine learning algorithms for signal processing and resource allocation of wireless communication systems. He received the IEEE vehicular technology society 2019 Neal Shepherd memorial best propagation paper award. 

Eduard A. Jorswieck (Fellow, IEEE) received the Ph.D. degree in electrical engineering and computer science from TU Berlin in 2004. From 2006 to 2008, he was with the Signal Processing Group, KTH Stockholm, as a Post-Doctoral Fellow and an Assistant Professor. From 2008 to 2019, he was the Chair for Communication Theory with TU Dresden. He is currently the Managing Director of the Institute of Communications Technology, the Head of the Chair for Communications Systems, and a Full Professor with Technische Universität Braunschweig, Brunswick, Germany. He has published more than 180 journal articles, 15 book chapters, one book, three monographs, and some 300 conference papers. His main research interests are in the broad area of communications. He was a recipient of the IEEE Signal Processing Society Best Paper Award. He and his colleagues were also recipients of the Best Paper and Best Student Paper Awards at the IEEE CAMSAP 2011, IEEE WCSP 2012, IEEE SPAWC 2012, IEEE ICUFN 2018, PETS 2019, and ISWCS 2019. Since 2017, he has been the Editor-in-Chief of the EURASIP Journal on Wireless Communications and Networking. He is currently serving on the editorial boards of the IEEE TRANSACTIONS ON INFORMATION THEORY and IEEE TRANSACTIONS ON COMMUNICATIONS. He was on the editorial boards of the IEEE SIGNAL PROCESSING LETTERS, the IEEE TRANSACTIONS ON SIGNAL PROCESSING, the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, and the IEEE TRANSACTIONS ON INFOR- MATION FORENSICS AND SECURITY. 

Jakob Hoydis is a Principal Research Scientist at NVIDIA, specializing in the intersection of machine learning and wireless communications. Previously, he led a research department at Nokia Bell Labs in France. He holds a diploma in electrical engineering from RWTH Aachen University, Germany, and a Ph.D. from Supéléc, France. Dr. Hoydis is an IEEE Fellow and an 2023-24 Distinguished Industry Speaker for the IEEE Signal Processing Society. From 2019 to 2021, he chaired the IEEE COMSOC Emerging Technology Initiative on Machine Learning for Communications and served as an Editor for the IEEE Transactions on Wireless Communications. During this period, he was also an Area Editor for the IEEE JSAC Series on Machine Learning in Communications and Networks. Dr. Hoydis has received numerous awards, including the 2019 VTG IDE Johann-Philipp-Reis Prize, the 2019 IEEE SEE Glavieux Prize, the 2018 IEEE Marconi Prize Paper Award, and the 2015 IEEE Leonard G. Abraham Prize. Additionally, he was honored with the 2018 Nokia AI Innovation Award and the Nokia France Top Inventor Awards in 2018 and 2019. He is a co-author of the textbook “Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency” (2017) and one of the maintainers and core developers of Sionna, a GPU-accelerated open-source link level simulator for next-generation communication systems. 

Mérouane Debbah is Professor at  Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI. His research has been lying at the interface of fundamental mathematics, algorithms, statistics, information and communication sciences with a special focus on random matrix theory and learning algorithms. In the Communication field, he has been at the heart of the development of small cells (4G), Massive MIMO (5G) and Large Intelligent Surfaces (6G) technologies. In the AI field, he is known for his work on Large Language Models, distributed AI systems for networks and semantic communications. He received multiple prestigious distinctions, prizes and best paper awards (more than 40 IEEE best paper awards) for his contributions to both fields. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow and a Membre émérite SEE. 

Dr. Afef Feki is a System Architect at Nokia Mobile Networks since 2017, specializing in Radio Resource Management (RRM) mechanisms utilizing AI/ML technologies. Her work focuses primarily on mobility optimization, energy efficiency, anomaly detection, enhanced positioning, and interference coordination within heterogeneous networks. Prior to joining Nokia, she worked as a Research Engineer at Huawei's French Research Center in the Mathematical and Algorithmic Sciences Lab, as well as at Alcatel-Lucent Bell Labs France and Orange Labs. She holds both an engineering degree in telecommunications and an MSc in optics and radio frequency from the Polytechnic Institute of Grenoble. Additionally, she earned her PhD in telecommunications from Telecom ParisTech, France. In 2023, she was recognized as a Distinguished Member of Technical Staff (DMTS) and has received multiple Top Inventor awards from Nokia. 

Deniz Gündüz received his Ph.D. degree in electrical engineering from NYU Tandon School of Engineering in 2007. Currently, he is a Professor of Information Processing in the Electrical and Electronic Engineering Department at Imperial College London, UK. He is a Fellow of the IEEE, and an elected member of the IEEE Signal Processing for Communications and Networking (SPCOM) and Machine Learning for Signal Processing (MLSP) Technical Committees. He serves as an Area Editor for the IEEE Transactions on Information Theory  and IEEE Transactions on Communications. He is the recipient of the IEEE Communications Society - Communication Theory Technical Committee (CTTC) Early Achievement Award in 2017, Starting (2016), Consolidator (2022) and Proof-of-Concept (2023) Grants of the European Research Council (ERC), and has co-authored several award-winning papers, most recently the IEEE Communications Society - Young Author Best Paper Award (2022), and IEEE International Conference on Communications Best Paper Award (2023). In 2023, he received the Imperial College London - President's Award for Excellence in Research Supervision.  

Alvaro Valcarce is currently the Head of the Department of Wireless AI/ML, at Nokia Bell Labs, France. His research interests include the application of machine learning techniques to L2 and L3 wireless problems for the development of technologies beyond 5G. He is especially interested in the potential of multiagent reinforcement learning and learned representations for emerging novel L2 signalling protocols and Radio Resource Management. His background is in cellular networks, computational electromagnetics, optimization algorithms, and machine learning. 

Leonardo Linguaglossa is currently associate professor / maître de conférences - at Telecom Paris (France) since 2020. In 2023, he was granted an ANR - JCJC grant (french national young researcher funding) as the Principal Investigator of the project IONOS-DX. He is currently co-responsible for the joint Telecom Paris - EDF common lab on security and future networks (SEIDO). He is actively involved in several projects, including Beyond5G (B5G), InterCarnot vers6G and PEPR, among others. In 2018/2019, during his activity as a post-doctoral researcher, he co-led the project AI4P (Artificial Intelligence for Performance), a collaboration between Telecom Paris and TUM via the German-French Academy. He obtained is Ph.D. in France (2016), as part of a joint program among INRIA, Nokia Bell Labs, and University Paris Diderot. He obtained both his Bachelor's degree (2010) and Master of Science (2012) from the University of Catania. His main research interests include high-speed software networks, edge AI and future network architectures. Throughout his career, he has been affiliated with the  NewNet Cisco's chair at Telecom Paris (France), served as a guest scientist at TUM (Germany), and worked at Bell Labs (France), CNIT (Italy), and the University of Catania (Italy). 

Philippe Mary is full Professor in wireless communications at INSA Rennes and a member of IETR laboratory (IETR – UMR 6164). He has been graduated in signal processing and digital communication from University Côte d’Azur (UCA) in 2004 and he received his PhD in Electrical Engineering from Institut National des Sciences Appliquées de Lyon (INSA Lyon) in 2008 and his Habilitation à Diriger les Recherches (HDR) from University of Rennes 1 in 2018. During his PhD, Philippe Mary was with France Telecom R&D in Grenoble (France) and he worked on the analytical performance study for mobile communications considering shadowing and fading, and multi-user detectors for wireless communications. He held a post-doctoral position at ETIS laboratory, Cergy-Pontoise (France) during 12 months and where he was teaching assistant at ENSEA and University of Cergy-Pontoise. His current research interests lie in information and communication theories and reinforcement learning for wireless communications