Zheng Chen is an Assistant Professor at the Division of Communication Systems, Department of Electrical Engineering, Linköping University, Sweden. Her research interests include stochastic modelling and optimization in wireless networks, massive random access, and distributed intelligent systems. She was the recipient of the 2020 IEEE Communications Society Young Author Best Paper Award. She has served as TPC member for several technical symposia at IEEE ICC and Globecom between 2017-2022. She has served as workshop co-chair of 2021 IEEE Globecom Workshop on “Wireless Communications for Distributed Intelligence”.

José Mairton B. da Silva, Jr. received the Ph.D. from KTH Royal Institute of Technology, Stockholm, Sweden, in 2019. He is currently a Marie Skłodowska-Curie Postdoctoral Fellow with Princeton University, USA, and KTH Royal Institute of Technology, Sweden. He is starting as Assistant Professor in the Division of Computer Systems at Uppsala University from April 2023. He has served as the Secretary of the IEEE Communications Society Emerging Technology Initiative on Full Duplex Communications between 2018-2021. He has been a TPC member for technical symposia and workshops at several flagship IEEE ComSoc conferences. He gave several tutorials on “Wireless for machine learning” at IEEE ICASSP 2021, PIMRC 2021, GLOBECOM 2021, and IEEE ICC 2022. His research interests include distributed machine learning and optimization over wireless communications.

Carlo Fischione is Professor at KTH Royal Institute of Technology, Electrical Engineering and Computer Science, Sweden. He is director of the Ericsson-KTH Data Science Micro Degree Program, and chair of the IEEE Machine Learning for Communication Emerging Technology Initiative. He received a number of awards, including the “IEEE Communication Society S. O. Rice” award of 2018, and the best paper award of IEEE Transactions on Industrial Informatics of 2007. He is Editor of IEEE Transactions on Communications (Machine Learning for Communications), and IEEE Journal on Selected Areas on Communications (JSAC) -- Series on Machine Learning for Communication and Networking. He has been involved in the organization of many IEEE conferences, including IEEE WCNC 2020 (Co-chair), WCNC 2023 (Track Chair), IEEE Globecom 2023 and 2024 (Symposium Chair). He gave several tutorials on “Wireless for machine learning” at IEEE ICASSP 2021, PIMRC 2021 and GLOBECOM 2021.

Osvaldo Simeone is a Professor of Information Engineering with the Centre for Telecommunications Research at the Department of Engineering of King's College London, where he directs the King's Communications, Learning and Information Processing lab. He 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 European Research Council (ERC) Consolidator grant in 2016. He currently serves in the editorial board of the IEEE Signal Processing Magazine and is the vice-chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society. Dr. Simeone is a co-author of two monographs, two edited books published by Cambridge University Press. He is a Fellow of the IET and of the IEEE.

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), and the IEEE Transactions on Wireless Communications steering committee (2019–2022). He received, most recently, the IEEE ComSoc Stephen O. Rice Prize in Communications Theory 2015, the IEEE ComSoc Leonard G. Abraham Prize 2017, the IEEE ComSoc Best Tutorial Paper Award 2018 and the IEEE ComSoc Fred W. Ellersick Prize in 2019. He has been involved in the organization of many conferences, workshops, and summer schools in the IEEE ComSoc and SPS, such as the IEEE ICC 2020 workshop on Scalable Massive MIMO Technologies for Beyond 5G (organizer), IEEE Communication Theory Workshop 2019 (technical co-chair), joint IEEE SPS and EURASIP Summer School on SP for 5G (co-general chair), the 49th Asilomar Conference on Signals, Systems and Computers 2015 (general chair).

H. Vincent Poor is the Michael Henry Strater University Professor of Electrical Engineering at Princeton University, where his research interests include information theory, signal processing and machine learning, and their applications in wireless networks and related fields. He has received the IEEE ComSoc/ Armstrong, Ellersick, Hertz and Marconi, awards, and has been involved in the organization of more than a dozen workshops at flagship conferences of IEEE ComSoc.