Chair | Carlo Fischione

Carlo Fischione is full Professor at KTH Royal Institute of Technology, Stockholm, Sweden, where he is the Director of the Data Science Micro Degree Program, which is an advanced program on Artificial Intelligence currently dedicated to Ericsson’s researchers worldwide. He received the Ph.D. degree in Electrical and Information Engineering (3/3 years) in May 2005 and the Laurea degree in Electronic Engineering (Laurea, Summa cum Laude, 5/5 years) in April 2001 from University of L’Aquila, Italy. He has held research positions at Massachusetts Institute of Technology, Cambridge, MA (2015, Visiting Professor); Harvard University, Cambridge, MA (2015, Associate); and University of California at Berkeley, CA (2004-2005, Visiting Scholar, and 2007-2008, Research Associate). His research interests include applied optimization, wireless, sensor networks, Internet of things, and machine learning. He received a number of awards, such as the “2018 IEEE Communication Society S. O. Rice” Award, and the best paper award of IEEE Transactions on Industrial Informatics (2007). He is Editor of IEEE Transactions on Communications and IEEE Journal on Selected Areas on Communications – Series on Machine Learning for Communication and Networking and has been serving as Associate Editor of IFAC Automatica (2014-2019).

Co-Chair | Tim O’Shea

Tim O’Shea is the CTO at DeepSig and a Research Assistant Professor at Virginia Tech where he is focused on building future wireless systems for 5G and beyond by leveraging machine learning and data-centric design at the physical layer.  He has led applied research in software radio, cognitive radio and security at VT, USG, Hawkeye360, and Federated Wireless for over 10 years, is a core developer of the GNU Radio project, and a senior member of the IEEE. His research and publications have focused on leveraging deep learning techniques to advance core problems in wireless communications and he is currently working on applied efforts to rapidly advance the performance, capabilities, and adaptive nature of communications systems at the physical layer and under high degrees of freedom.


Co-Chair | Elisabeth de Carvalho

Elisabeth de Carvalho received a Ph.D. degree in electrical engineering from Telecom ParisTech, France in 1999. After her Ph.D. degree, she was a Post-Doctoral Fellow at Stanford University, Stanford, CA, USA, and then worked in industry in the field of DSL and wireless LAN. Since 2005, she has been with Aalborg University, where she is a Professor and has led several research projects in wireless communications. She has co-authored the book “A Practical Guide to MIMO Radio Channel”. Her main expertise is in the field of signal processing with an emphasis on MIMO communications. She is a member of IEEE Signal Processing Society, technical committee “Signal Processing for Communications and Networking” (SPCOM) and vice chair of the IEEE COMSOC Emerging Technology Initiative on Machine Learning for Communications. She is the project manager of the H2020 Innovative Training Network WindMill focusing on machine learning for wireless communications.


Co-Chair | Marwa Chafii

Marwa Chafii received her Ph.D. degree in Telecommunications in 2016, and her Master’s degree in the field of advanced wireless communication systems (SAR) in 2013, both from CentraleSupelec, France. Between 2014 and 2016, she has been a visiting researcher at Poznan University of Technology (Poland), University of York (UK), Yokohama National University (Japan), and University of Oxford (UK). She joined the Vodafone Chair Mobile Communication Systems at the Technical University of Dresden, Germany, in February 2018 as a research group leader. She received the 2018 Ph.D. prize in the field of Signal, Image & Vision in France.  Since September 2018, she is an associate professor at ENSEA, University of Paris-Seine, France, and head of Research and Studies at Women in AI. Her research interests include machine learning for wireless communications,  cellular Internet of Things, and advanced waveforms for multi-carrier systems.


Co-Chair | Melike Erol Kantarci

Melike Erol Kantarci is Canada Research Chair (Tier 2) in AI-Enabled Next-Generation Wireless Networks and Associate Professor at the School of Electrical Engineering and Computer Science at the University of Ottawa, ON, Canada She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She is a Faculty Affiliate at the Vector Institute and the Institute for Science, Society, and Policy. She is also a courtesy faculty at the Department of Electrical and Computer Engineering at Clarkson University, Potsdam, NY.


Workshops, Tutorials, & Symposia Officer | E.S. Gopi

E.S. Gopi received his Ph.D. degree from the National Institute of Technology Tiruchirappalli (NITT). He is currently an Associate Professor, coordinator, and head of the Pattern Recognition and Computational Intelligence Laboratory at NITT. Dr. Gopi is the author of seven books and more than 50 journal articles and conference papers in the area of pattern recognition, machine learning, deep learning, computational intelligence, and digital signal processing. He is currently an IEEE senior member of the Computational Intelligence Society and the Signal Processing Society.



Workshops, Tutorials, & Symposia Officer | Yuanwei Liu

Yuanwei Liu is a Senior Lecturer (Associate Professor) in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL), London, U.K. (Aug. 2021-present), where he started as a Lecturer in Sept. 2017. He was a Postdoctoral Research Fellow at King’s College London (KCL), London, U.K. (Sep. 2016- Aug. 2017). He received a Ph.D. degree from QMUL in 2016. Prior to that, he received the M.S. and B.S. degrees from the Beijing University of Posts and Telecommunications (BUPT) in 2014 and 2011, respectively. He currently serves as a Senior Editor of IEEE Communications Letters, an Editor of IEEE Transactions on Wireless Communications, IEEE Transactions on Communications. He is a Senior Member of the IEEE.



Workshops, Tutorials, & Symposia Officer | Nalin Jayakody

Nalin Jayakody (S’09, M’14, SM’18) received his Ph.D. degree in electronics, electrical, and communications engineering, from University College Dublin, Ireland, in 2014. From 2014 to 2016, he was a postdoctoral research fellow at the Institute of Computer Science, University of Tartu, Estonia, and the Department of Informatics, University of Bergen, Norway. Since 2016, he has been a professor in the School of Computer Science & Robotics, National Research Tomsk Polytechnic University (TPU), Russia. He also serves as the Head of the Research and Educational Center on Automation and Information Technologies and is the founder of the Tomsk Infocom Lab at TPU.



Workshops, Tutorials, & Symposia Officer | Slawomir Stanczak

Slawomir Stanczak studied electrical engineering with specialization in control theory at the Wroclaw University of Technology and at the Technical University of Berlin (TU Berlin). He received the Dipl.-Ing. degree in 1998 and the Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin; the Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor of network information theory with TU Berlin and the head of the Wireless Communications and Networks department. Prof. Stanczak is a co-author of two books and more than 200 peer-reviewed journal articles and conference papers in the area of information theory, wireless communications, signal processing, and machine learning. He was an Associate Editor of the IEEE Transactions on Signal Processing between 2012 and 2015.


Workshops, Tutorials, & Symposia Officer | George C. Alexandropoulos

George C. Alexandropoulos is an Assistant Professor of Signal Processing for Communications at the Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA) (also known shortly as University of Athens), Athens, Greece, and member of its Communications and Signal Processing division, as well as associated faculty with ATHENA Research and Innovation Center. From October 2020, I am also collaborating with academic staff members at the Hellenic Open University, Athens, Greece. My research and development activities in the general areas of algorithmic design, optimization, and performance analysis for wireless communication networks.


Workshops, Tutorials, & Symposia Officer | Yansha Deng

Yansha Deng is a Senior Lecturer (Associate Professor) in the Department of Engineering at King’s College London, London, United Kingdom. She has secured more than £1.8 million of research funding as the Principal Investigator and has received the EPSRC NIA award. She has published 80+ journal papers and 40+ IEEE/ACM conference papers. She is currently the Senior Editor of IEEE Communications Letters since 2020, the Associate Editor of IEEE Transactions on Communications since 2017, the Associate Editor of IEEE Transactions on Molecular, Biological and Multi-scale Communications since 2019, the Associate Editor of IEEE Open Journal of Communications Society since 2019 and the Vertical Area Editor of IEEE Internet of Things Magazine since 2021.



Workshops, Tutorials, & Symposia Officer | Sudip Misra

Sudip Misra is a Professor and Abdul Kalam Technology Innovation National Fellow in the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur. He received his Ph.D. degree in Computer Science from Carleton University, in Ottawa, Canada. His current research interests include Wireless Sensor Networks and Internet of Things. Professor Misra has published over 350 scholarly research papers and 12 books. He has won eleven research paper awards in different Journals and Conferences. Dr. Misra has been serving as the Associate Editor of different journals such as the IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, IEEE Transactions on Sustainable Computing, IEEE Network, and IEEE Systems Journal.


Industry Liaison Officer  | Hugo Tullberg

Hugo Tullberg is a Master Researcher at Research Area Radio, Ericsson Research, Stockholm, where he works with Beyond-5G communication systems. His research interests include wireless communication and information theory, machine learning and artificial intelligence, and network reliability and security, converging into the reliability of distributed machine learning on resource-constrained platforms. Hugo Tullberg has extensive experience of international collaboration projects and standardization. He is on the EuCNC Steering Committee, has served on numerous technical program committees, and as a reviewer for several journals. Hugo Tullberg has an M.Sc. degree in Electrical Engineering from Lund University, and a Ph.D. degree in Electrical Engineering, Communication Theory and Systems, from the University of California at San Diego.


Industry Liaison Officer  | Yan Xin

Yan Xin (S’00, M’03, SM’10) received the B.E. degree in electronics engineering from Beijing University of Technology, Beijing, China, in 1992, the M. Sc. degree in mathematics, the M.Sc. degree in electrical engineering, and the Ph.D. degree in electrical engineering from University of Minnesota, Minneapolis, in 1998, 2000, and 2003, respectively. From 2004 to 2008, he was an assistant professor in the Department of Electrical and Computer Engineering, National University of Singapore. He is now a research engineer at Applied Machine Learning group, FutureWei Technologies Inc. (Huawei USA R&D Division), Bridgewater, New Jersey. His current research interests are in the areas of machine learning, artificial intelligence, network optimization, and wireless communications. Dr. Xin was the co-recipient of the 2004 IEEE Marconi Prize Paper Award in wireless communications.


Industry Liaison Officer  | Brad Stimpson

Brad Stimpson is the Vice President of Engineering at Redline Communications and has been leading their R&D and Product teams since 2018. He started his career as an embedded software developer focused on bandwidth optimization techniques then transitioned to management leading teams providing cellular access to remote areas and fixed-wireless services in rural areas as a WISP. He then transitioned to working with MNOs leading RF Engineering and Network Analytics teams at Bell and TELUS. Interleaved with this, Brad built a consultancy focused on solving large-scale DevOps and infrastructure problems related to network orchestration, machine learning, and augmented reality.



Industry Liaison Officer  | Carles Antón

Carles Antón received his Ph.D. degree in Telecommunications Engineering from the Technical University of Catalonia in 1998 (cum-laude). He also holds a Master in Business Administration (MBA) from EADA Business School (2014, Best Final Degree Project Award). Currently, he is with the CTTC as a Director of R&D Programs and Senior Research Associate. Main duties, in addition to his daily research activity, include the overall coordination of CTTC’s participation in R&D projects and technology transfer activities, networking activities towards the establishment of strategic alliances and formation of research consortia with the industry and academia, monitoring of R&D funding programs, and fund-raising.



Datasets & Competitions Officer | Maximilian Arnold

Maximilian Arnold received a B.Sc. (2014) and M.Sc (2016) from Stuttgart University in electrical engineering. In 2016 he joined the institute of telecommunication as a Ph.D. student. He received a best student paper award on ISWCS2017 for his work in Massive MIMO measurements. His current research topics are the development of prototypes for Massive MIMO and Deep Learning techniques applied to Massive MIMO.



Datasets & Competitions Officer | Adnan Shahid

Adnan Shahid received his B.Eng. and M.Eng. degrees in computer engineering with communication specialization from the University of Engineering and Technology in 2006 and 2010, respectively, and his Ph.D. degree in information and communication engineering from Sejong University, South Korea, in 2015. He is currently working as a postdoctoral researcher at iMinds/IBCN, Department of Information Technology, University of Ghent, Belgium. From September 2015 to June 2016, he was with the Department of Computer Engineering, Taif University, Saudi Arabia. From March 2015 to August 2015, he worked as a postdoctoral researcher at Yonsei University, South Korea. He was also the recipient of the prestigious BK 21 plus Postdoc program at Yon-sei University. His research interests include device-to-device communication, self-organizing networks, small cells networks, cross-layer optimization, and integration of WiFi and small cells.

Research Blog Officer | Carolina Fortuna

Carolina Fortuna is a research fellow at the Jozef Stefan Institute. She received her Ph.D. in CS in 2013, her BSc in 2006, was a postdoctoral research associate at Ghent University, 2014-2015, and a visitor at Stanford University in 2017. Her research is interdisciplinary, focusing on data and knowledge-driven modeling of communication and sensor systems. She authored over 60 peer-reviewed papers at top journals and conferences and is the co-editor of a Wiley book on the Internet of Things. She wrote several EU-funded research grants, contributed to EU-funded research projects, including as a technical coordinator.


Optical Communications Liaison | Laurent Schmalen

Laurent Schmalen received both the Dipl.-Ing. and Dr.-Ing. (Ph.D.) degrees from RWTH Aachen University, Germany, in 2005 and 2011, respectively. Between 2011 and 2016, he was a Research Engineer at Alcatel-Lucent Bell Labs in Stuttgart, Germany, where he worked on forward error correction schemes for high-speed optical communications. Between 2016 and 2019, he was the Department Head in Nokia Bell Labs in Stuttgart. He served as a Guest Lecturer at the University of Stuttgart between 2014 and 2019, teaching a graduate-level course on modern error correction techniques. Since 2019, he has been a Full Professor with the Karlsruhe Institute of Technology, Karlsruhe, Germany, where he heads the communications engineering lab. 



Global Publicity Officer | Raed Shubair

Raed Shubair received a BSc (with Distinction & class Honors) in Electrical Engineering from Kuwait University, June 1989: followed by a PhD (with Distinction) in Electrical Engineering from the University of Waterloo, Feb 1993. His Ph.D. thesis received the University of Waterloo’s “Distinguished Doctoral Dissertation Award” in 1993. Prior to his affiliation at NYU Abu Dhabi, Prof. Shubair was a Full Professor at Khalifa University, which he joined in 1993 until 2017. His past affiliations also include visiting academic and research appointments at the University of Waterloo, Massachusetts Institute of Technology (MIT), and Harvard Medical School. He was on technical committees of IEEE flagship conferences in Antennas, Communications, and Signal Processing, including several editions of IEEE AP-S/URSI, EuCAP, IEEE GlobalSIP, IEEE WCNC, and IEEE ICASSP. He has served as a TPC Chair of the IEEE MMS2016 and IEEE GlobalSIP 2018 Symposium on 5G Satellite Networks. He holds several leading roles in the international professional engineering community. He is a Board Member of the European School of Antennas, the Regional Director for the IEEE Signal Processing Society in IEEE Region eight the Middle East, and the Chair of the IEEE Antennas and Propagation Society Educational Initiatives Program. He is a Fellow of MIT Electromagnetics Academy and the Founding Member of MIT Scholars of the Emirates. He is an Editor of the IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology and the IEEE Open Journal on Antennas and Propagation.

Secretary | Henrik Hellström

Henrik Hellström received an M.Sc. degree in Information and Network Engineering from the KTH Royal Institute of Technology, in 2019. After defending his master’s thesis, he worked as a research engineer for ABB Corporate Research Center working on Industrial Communications. Currently, he is pursuing a Ph.D. degree at KTH within the area of wireless communications and machine learning. His research interests include physical layer communications, distributed machine learning, industrial communications, and intelligent edge networks. He is a reviewer of several IEEE journals and conferences.