W10: The 3rd International Workshop on Electromagnetic Information Theory (EIT 2023)

Co-chair: Mérouane Debbah,Technology Innovation Institute, UAE
Co-chair: Linglong Dai,Tsinghua University, China
Co-chair: Tengjiao Wang,Huawei Technologies, China
Co-chair: Doohwan Lee, NTT Corporation, Japan

 

Abstract: Our workshop on EIT, an interdisciplinary framework that combines deterministic electromagnetic theory and statistical information theory, is an emerging research topic and will provide an informative forum for authors to present their initial research findings on the topics covered in the workshop.

The workshop explorers the new opportunities of exploiting the physical properties of electromagnetic waves that were not actively used until 5G. Considering the research trend toward that actively utilizes characteristics of electromagnetic waves by using mmWave, THz, VLC, and large aperture antenna technologies, the topics covered by the workshop are timely and important. In particular, EIT covers fundamental basics including ultimate limitation of capacity, channel estimation, and signal processing to emerging novel communication frameworks including holographic MIMO, extremely large antenna arrays, reconfigurable intelligent surfaces, OAM multiplexing etc. As of now, many of researchers from both academia and industry has begun to work on these field. This aspect makes the workshop significantly timely and important.

This workshop will have keynote presentations and/or invited talk(s) from renowned speakers. For example, one of our general co-chairs, Prof. Mérouane Debbah, has delivered a number of keynote speeches at the IEEE flagship conferences (i.e., IEEE ICC 2022, IEEE GLOBECOM 2022, and so on). Many of our keynote presentations and invited talk(s) will cover very timely and important issues on wireless communication technologies toward 5G-Advanced/6G, which will attract a large number of attendees. Considering above, the workshop will be attractive to many IEEE VTC2023 Spring attendees.

 

Co-chair Bios:

Mérouane Debbah:

Merouane Debbah (Fellow, IEEE) is Chief Researcher at the Technology Innovation Institute in Abu Dhabi. He is an Adjunct Professor with the Department of Machine Learning at the Mohamed Bin Zayed University of Artificial Intelligence. He received the M.Sc. and Ph.D. degrees from the Ecole Normale Supérieure Paris-Saclay, France. He was with Motorola Labs, Saclay, France, from 1999 to 2002, and also with the Vienna Research Center for Telecommunications, Vienna, Austria, until 2003. From 2003 to 2007, he was an Assistant Professor with the Mobile Communications Department, Institut Eurecom, Sophia Antipolis, France. In 2007, he was appointed Full Professor at CentraleSupelec, Gif-sur-Yvette, France. From 2007 to 2014, he was the Director of the Alcatel-Lucent Chair on Flexible Radio. From 2014 to 2021, he was Vice-President of the Huawei France Research Center. He was jointly the director of the Mathematical and Algorithmic Sciences Lab as well as the director of the Lagrange Mathematical and Computing Research Center. Since 2021, he is leading the AI & Digital Science Research centers at the Technology Innovation Institute. He has managed 8 EU projects and more than 24 national and international projects. His research interests lie in fundamental mathematics, algorithms, statistics, information, and communication sciences research. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow and a Membre émérite SEE. He was a recipient of the ERC Grant MORE (Advanced Mathematical Tools for Complex Network Engineering) from 2012 to 2017. He was a recipient of the Mario Boella Award in 2005, the IEEE Glavieux Prize Award in 2011, the Qualcomm Innovation Prize Award in 2012, the 2019 IEEE Radio Communications Committee Technical Recognition Award and the 2020 SEE Blondel Medal. He received more than 20 best paper awards, among which the 2007 IEEE GLOBECOM Best Paper Award, the Wi-Opt 2009 Best Paper Award, the 2010 Newcom++ Best Paper Award, the WUN CogCom Best Paper 2012 and 2013 Award, the 2014 WCNC Best Paper Award, the 2015 ICC Best Paper Award, the 2015 IEEE Communications Society Leonard G. Abraham Prize, the 2015 IEEE Communications Society Fred W. Ellersick Prize, the 2016 IEEE Communications Society Best Tutorial Paper Award, the 2016 European Wireless Best Paper Award, the 2017 Eurasip Best Paper Award, the 2018 IEEE Marconi Prize Paper Award, the 2019 IEEE Communications Society Young Author Best Paper Award, the 2021 Eurasip Best Paper Award, the 2021 IEEE Marconi Prize Paper Award as well as the Valuetools 2007, Valuetools 2008, CrownCom 2009, Valuetools 2012, SAM 2014, and 2017 IEEE Sweden VT-COM-IT Joint Chapter best student paper awards. He is an Associate Editor-in-Chief of the journal Random Matrix: Theory and Applications. He was an Associate Area Editor and Senior Area Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING from 2011 to 2013 and from 2013 to 2014, respectively. From 2021 to 2022, he serves as an IEEE Signal Processing Society Distinguished Industry Speaker.

 

Linglong Dai:

Linglong Dai (Fellow, IEEE) received the B.S. degree from Zhejiang University in 2003, the M.S. degree (with the highest honor) from the China Academy of Telecommunications Technology (CATT) in 2006, and the Ph.D. degree (with the highest honor) from Tsinghua University, Beijing, China, in 2011. From 2011 to 2013, he was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, where he has been an Assistant Professor since July 2013 and then an Associate Professor since June 2016. His current research interests include 5G/6G wireless communication technologies including massive MIMO, reconfigurable intelligent surface, millimeter-wave/Terahertz communications, wireless AI, and electromagnetic information theory.

He has published over 80 IEEE journal papers and over 40 IEEE conference papers. He also holds 20 granted patents. He coauthored the book “mmWave Massive MIMO: A Paradigm for 5G” (Academic Press, Elsevier, 2016). Dr. Dai has received 5 IEEE conference Best Paper Awards. He has also received the Tsinghua University Outstanding Ph.D. Graduate Award in 2011, the Beijing Excellent Doctoral Dissertation Award in 2012, the National Excellent Doctoral Dissertation Nomination Award in 2013, the URSI Young Scientist Award in 2014, the IEEE Transactions on Broadcasting Best Paper Award in 2015, the Second Prize of Science and Technology Award of China Institute of Communications in 2016, the Electronics Letters Best Paper Award in 2016, the IEEE Communications Letters Exemplary Editor Award in 2017, the National Natural Science Foundation of China for Outstanding Young Scholars in 2017, the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2017, the 7th IEEE ComSoc Asia-Pacific Outstanding Paper Award in 2018, the China Communications Best Paper Award in 2019, the IEEE Access Best Multimedia Award in 2020, the China Communications Best Editor Award in 2020, the IEEE ComSoc Leonard G. Abraham Prize in 2020, the IEEE ComSoc Stephen O. Rice Prize in 2022, and the IEEE ICC Outstanding Demo Award in 2022. He was listed as a Highly Cited Researcher by Clarivate in 2020-2022. He was elevated as an IEEE Fellow in 2021.

He is currently serving as an Area Editor of the IEEE Communications Letters (2019-). He has also served as an Editor of the IEEE Transactions on Communications (2017-2021), and an Editor of the IEEE Transactions on Vehicular Technology (2016-2020). He has also served as a Guest Editor of the IEEE Journal of Selected Topics in Signal Processing (the Special Issue on Hybrid Analog-Digital Signal Processing for Hardware-Efficient Large Scale Antenna Arrays), a Guest Editor of the IEEE Journal on Selected Areas in Communications (the Special Issue on Millimeter Wave Communications for Future Mobile Networks), and the Leading Guest Editor of the IEEE Wireless Communications (the Special Issue on Non-Orthogonal Multiple Access for 5G). He is a co-chair of the IEEE Special Interest Group (SIG) on Signal Processing Techniques in 5G Communication Systems. Particularly, he is dedicated to reproducible research and has made a large amount of simulation code publicly available (refer to his homepage for more details: http://oa.ee.tsinghua.edu.c /dailinglong/).

 

Tengjiao Wang:

Tengjiao Wang (Member, IEEE) received his B.S. degree and Ph. D. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2016 and 2021, respectively. He was a visiting scholar with the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2019. Currently, he is a principal research engineer with Wireless Network RAN Research Department, Huawei Technologies CO., Ltd, Shanghai, China. His research interests lie in the fields of 5GAdvanced wireless communications, electromagnetic information theory, visible light communications, and machine learning for wireless communications. He has published more than 20 technical papers and holds a number of patents. He was a recipient of the Future Star Medal of Huawei Technologies in 2022, the Wang Daheng Optical Award in 2021, the Academic Star of Tsinghua University in 2021, the Excellent Doctoral Dissertation of Tsinghua University in 2021, and the National Scholarship in 2018. He has served as workshop organizers, co-chairs, and TPC members of many international conferences including IEEE Vehicular Technology Conference (VTC), IEEE International Conference on Communications (ICC), IEEE Global Communications Conference (GLOBECOM) and IEEE/CIC International Conference on Communications in China (ICCC). He has organized the 1st Workshop on Electromagnetic Information Theory towards 5G-Advanced in IEEE VTC2022- Spring and the industry panel on Electromagnetic Information Theory: Theoretical Foundations for the Massive MIMO Evolution in IEEE GLOBECOM 2022.

 

Doohwan Lee:

Doohwan Lee (Senior Member, IEEE) received the B.S. (Hons.) and completed the M.S. course in electrical engineering from Seoul National University, South Korea, in 2004 and 2006. He received the Ph.D. in electrical engineering and information systems from the University of Tokyo in 2009. He has been with NTT Network Innovation Laboratories since 2009. From 2012 to 2014, he was a full-time lecturer at the Research Center for Advanced Science and Technology, the University of Tokyo. From 2016 to 2018, he was a part-time lecturer at Kanagawa University. His research interests include compressed sensing, software/cognitive radio, signal processing, and OAM multiplexing. He received the Best Paper Award and Best Technical Exhibition Award from the Institute of Electronics, Information and Communication Engineers (IEICE) Software Radio in 2011, the IEICE Communications Society Excellent Paper Award in 2012, the IEICE SRW (Short Range Wireless Communications) Young Researcher’s Award in 2016, the Best Technical Exhibition Award from SmartCom 2014, the Best Paper Award from SmartCom 2016, the Best Paper Award and Special Technical Award in Smart Radio from IEICE Smart Radio in 2017, and the Distinguished Contributions Award from IEICE Communications Society in 2021. He served as a General Co-Chair in the IEEE ICC 2019, 2020, 2021, and 2022 Workshops on Orbital Angular Momentum Transmission (OAMT), as a Workshop Co-Chair in the IEEE GLOBECOM 2019 Workshop on High Capacity Point-to-Point Wireless Communications (HCPtP) and GLOBECOM 2020 and 2022 Workshops on High Capacity Wireless Communications (HCWC), and a Workshop Co-Chair in the IEEE PIMRC 2022 Workshop on Electromagnetic Information Theory (EMIT 2022).

 

Deadlines:
Workshop paper submissions due Extended: 9 March 2023
Acceptance notification: 16 April 2023
Final paper submission due: 30 April 2023

To submit a paper to this workshop, please visit: https://vtc2023s-rr-wks.trackchair.com/track/2166