Osvaldo Simeone
​Title: Beyond Best Effort: Reliable and Efficient AI for Wireless Systems.
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Biography: Osvaldo Simeone is a Professor of Information Engineering, and he co-directs the Centre for Intelligent Information Processing Systems within the Department of Engineering of King's College London. He is also a visiting Professor with the Connectivity Section within the Department of Electronic Systems at Aalborg University. From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT). Among other recognitions, Prof. Simeone is a co-recipient of the 2022 IEEE Communications Society Outstanding Paper Award, the 2021 IEEE Vehicular Technology Society Jack Neubauer Memorial Award, the 2019 IEEE Communication Society Best Tutorial Paper Award, the 2018 IEEE Signal Processing Best Paper Award, and the 2015 IEEE Communication Society Best Tutorial Paper Award. He was awarded an Open Fellowship by the EPSRC in 2022 and a Consolidator grant by the European Research Council (ERC) in 2016. He was a Distinguished Lecturer of the IEEE Communications Society in 2021 and 2022, and he was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018. Prof. Simeone is the author of the textbook "Machine Learning for Engineers" published by Cambridge University Press, four monographs, two edited books, and more than 200 research journal and magazine papers. He is a Fellow of the IET, EPSRC, and IEEE.
Bile Peng
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Title: Optimization of Complex Communication Systems with Unsupervised Machine Learning
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Biography: 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 Neal Shepherd memorial best propagation paper award twice (2019 and 2022).
Andrea Pizzo
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Title: Physical Modeling and Information-Theoretic Analysis of Holographic MIMO Channels
​Biography: Andrea Pizzo received the M.Sc. and Ph.D. in Information Engineering from the University of Pisa, Italy, in 2013 and 2019, respectively. He is currently a postdoctoral researcher with the WiSeCom Group at Universitat Pompeu Fabra, Spain. Previously, he was a postdoctoral researcher with the NYU Wireless Group, New York University, USA, and also worked with the CAS Group at Delft University of Technology, The Netherlands. His research interests lie at the intersection of communication theory, electromagnetic theory, and signal processing. He was the recipient of the 2018 IEEE VTS/ComSoc Italy Chapter Young Author Best Paper Award.
Arash Behboodi
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Title: A Foundational Approach to Inverse Problems for Physical Layer
​Biography: Arash Behboodi is Director of Engineering at Qualcomm AI Research, where he has been doing research on wireless AI, inverse problems, differentiable simulations, geometric deep learning, and recently neural reasoning and agentic AI. His interests are around theories of information, learning and signal processing. He received the Ph.D. degree in information theory from Ecole Superieure d'Electricite (now CentraleSuplec), France, in 2012, and a master’s degree in philosophy from Pantheon-Sorbonne university, 2011. Prior to Qualcomm, Arash was a senior researcher at Institute for Theoretical Information Technology in RWTH Aachen University and TU Berlin.
Luca Sanguinetti
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Title: Hybrid Beamforming in Near-Field MIMO: How Close Can We Get to Fully Digital?
​Biography: Prof. Luca Sanguinetti (Fellow, IEEE) received the Laurea Telecommunications Engineering degree (cum laude) and the Ph.D. degree in information engineering from the University of Pisa, Pisa, Italy, in 2002 and 2005, respectively. From June 2007 to June 2008, he was a Postdoctoral Associate with the Department of Electrical Engineering, Princeton University, Princeton, NJ, USA. From July 2013 to October 2017, he was with the Large Systems and Networks Group, Centrale Supelec, France. He is currently a Full Professor with the Department of Information Engineering, University of Pisa. He has coauthored two textbooks: Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency (2017) and Foundations of User-Centric Cell-Free Massive MIMO (2021). His expertise and general interests include wireless communications and signal processing for communications. Prof. Sanguinetti was the recipient of the 2018 and 2022 Marconi Prize Paper Awards in Wireless Communications and the 2023 Outstanding Paper Award of the IEEE Communications Society. He was an Associate Editor of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, IEEE TRANSACTIONS ON COMMUNICATIONS, and IEEE SIGNAL PROCESSING LETTERS. He is currently the chair of the Executive Editorial Committee of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS.
Wolfgang Utschick
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Title: Physics-Informed Generative Modeling of Wireless Channels
​Biography: Wolfgang Utschick is a Full Professor of Signal Processing Methods at the Technical University of Munich (TUM). In 2021, he became a core member of the newly established Munich Data Science Institute (MDSI). From 2017 to 2022, he served two terms as the elected Dean of the Department of Electrical and Computer Engineering at TUM. He also contributed to the Board of Deans for TUM's newly founded School of Communication, Information, and Technology (CIT). Wolfgang is an IEEE Fellow and a member of the VDE, where he currently leads the Specialist Group KT 1 for Information and System Theory of the ITG. In 2024, he was elected as a review board member for the German Research Foundation (DFG). Wolfgang teaches courses on Signal Processing, Optimization Theory, and Machine Learning in Wireless Communications. He has authored and co-authored numerous technical articles published in international journals and conference proceedings. He holds several patents in Multiantenna Signal Processing and has been a principal investigator for various research projects funded by the German Research Fund (DFG) and international industry partners. He is also a principal investigator of the 6G Future Laboratory of the Free State of Bavaria and a member of the 6G-Life consortium supported by the German Federal Ministry of Education and Research.
Danilo Brizi
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Title: New generation antennas employing electromagnetic metasurfaces
​Biography: Danilo Brizi (IEEE St.M’17, IEEE M’21) received the M.Sc. and the Ph.D. degrees in Information Engineering from the University of Pisa, Italy, in 2016 and 2020, respectively. He is currently an Assistant Professor at the same institution. From April 2018 to May 2019, he was a Visiting Research Scholar at the Keck School of Medicine, University of Southern California, Los Angeles, USA. In 2020, Dr. Brizi received the Young Scientist Award at the URSI General Assembly and Scientific Symposium on Electromagnetic Theory (URSI GASS). He was also recognized among the top reviewers of the IEEE Transactions on Antennas and Propagation in 2023. Since 2022, he has served as an Associate Editor for the IEEE Antennas and Propagation Magazine. His research interests include electromagnetic metasurfaces, radar absorbing materials, and wireless power transfer applications.
Marco Di Renzo
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Title: Metasurfaces for Wireless Communications: From Smart Reflections to Over-the-Air Analog Computation and Space-Time-Coding Multifunction Metasurfaces
​Biography: 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 (currently Paris-Saclay University), France, in 2013. Currently, he is a CNRS Research Director (Professor) and the Head of the Intelligent Physical Communications group with the Laboratory of Signals and Systems (L2S) at CNRS \& CentraleSupélec, Paris-Saclay University, Paris, France, as well as a Chair Professor in Telecommunications Engineering with the Centre for Telecommunications Research -- Department of Engineering, King’s College London, London, United Kingdom. He was a France-Nokia Chair of Excellence in ICT at the University of Oulu (Finland), a Tan Chin Tuan Exchange Fellow in Engineering at Nanyang Technological University (Singapore), a Fulbright Fellow at The City University of New York (USA), a Nokia Foundation Visiting Professor at Aalto University (Finland), and a Royal Academy of Engineering Distinguished Visiting Fellow at Queen’s University Belfast (U.K.). He is a Fellow of the IEEE, IET, EURASIP, and AAIA; an Academician of AIIA; an Ordinary Member of the European Academy of Sciences and Arts, an Ordinary Member of the Academia Europaea; an Ambassador of the European Association on Antennas and Propagation; and a Highly Cited Researcher. His recent research awards include the Michel Monpetit Prize conferred by the French Academy of Sciences, the IEEE Communications Society Heinrich Hertz Award, and the IEEE Communications Society Marconi Prize Paper Award in Wireless Communications. He served as the Editor-in-Chief of IEEE Communications Letters from 2019 to 2023. His current main roles within the IEEE Communications Society include serving as a Voting Member of the Fellow Evaluation Standing Committee, as the Chair of the Publications Misconduct Ad Hoc Committee, and as the Director of Journals.
Mathini Sellathurai
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Title: Context-Aware CSI Tracking and Path Loss Prediction Using Machine Learning and Dynamical Systems
​Biography: Mathini Sellathurai (IEEE Fellow) is currently a professor of signal processing and wireless communications at Heriot-Watt University, Edinburgh, U.K. She has been active in signal processing research for the past 20 years and has a strong international track record in wireless communications. She held visiting positions with Bell-Laboratories, Holmdel, NJ, USA, and at the Canadian Communications Research Centre, Ottawa, Canada. She has published over 250 peer-reviewed papers in leading international journals and conferences and two research monographs. Her present research includes machine learning and statistical signal processing, wireless communications, full-duplex communications and radar, assistive care, robotics, and hearing aids. She is a recipient of an IEEE Communication Society WIE mentorship award (2022), the Fred W. Ellersick Best Paper Award (2005), the Industry Canada Public Service Awards (2005), and Technology Transfers awards (2004). She received the Natural Sciences and Engineering Research Council of Canada (NSERC) Doctoral Award for her Ph.D. dissertation. She was an Editor for IEEE Transactions of Signal Processing from 2009 to 2018, the General Chair of IEEE Signal Processing Advances in Wireless Communications (2016), and a member of the IEEE SPCOM Technical Committee from 2014 to 2019. She is a member of the IEEE History Committee and the Strategic Advisory Team of the UK Research Council.. She is an invited Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) and Women Engineering Society (WES), U.K.