- Zheng Chen, Linköping University, Sweden.
- Carlo Fischione, Royal Institute of Technology (KTH), Sweden.
- Osvaldo Simeone, King’s College London, UK.
- Erik G. Larsson, Linköping University, Sweden.
- H. Vincent Poor, Princeton University, USA.
Biographies of the Organizers:
- Dr. Zheng Chen is currently an Assistant Professor with the Division of Communication Systems, Department of Electrical Engineering, Linköping University, Sweden. Her research interests include stochastic modeling and optimization in wireless networks, massive random access, and distributed intelligent systems. She is the recipient of the 2020 IEEE Communications Society Young Author Best Paper Award. She has served as a TPC member for several technical symposia in ICC and Globecom in 2018-2020.
- Prof. Carlo Fischione is Professor at KTH Royal Institute of Technology, Electrical Engineering and Computer Science, Division of Network and Systems Engineering, Stockholm, 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 - Series on Machine Learning for Communication and Networking.
Prof. 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 received an M.Sc. degree (with honors) and a Ph.D. degree in information engineering from Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively. From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT), where he was affiliated with the Center for Wireless Information Processing (CWiP). His research interests include information theory, machine learning, wireless communications, and neuromorphic computing. Dr Simeone is a co-recipient of the IEEE Veh. Techn. Society 2021 Jack Neubauer Memorial Award, 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 Consolidator grant by the European Research Council (ERC) in 2016. His research has been supported by the U.S. NSF, the ERC, the Vienna Science and Technology Fund, as well as by a number of industrial collaborations. 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. He was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018, and he is current a Distinguished Lecturer of the IEEE Communications Society. Dr Simeone is a co-author of two monographs, two edited books published by Cambridge University Press, and more than one hundred research journal papers. He is a Fellow of the IET and of the IEEE.
- Prof. 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).
- Prof. 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.