1.Title：Coming AI Fashion for Ionospheric Propagation and Applications
Lecturer：Professor Jian Wu , LEME
CRIRP
Abstract:
AI for science, a new paradigm for AI-driven scientific research, is spreading across many fields of science and technologies. If AI could drive research on ionospheric propagation and applications? We try to look ahead briefly to the possible AI-driven points on ionospheric propagation and application research through this tutorial.
2.Title： Antenna Circuit and Mode Theory
School of Electrical and Electronic Engineering
Nanyang Technological University, Singapore
Abstract：
Antenna theory started first from circuit theory, which studies the current distribution on the antenna and the relationship between the antenna and the electrical network. Antenna theory then advanced to mode theory, which studies the electromagnetic field distribution of an antenna and the relationship between the antenna and the resonator or transmission line. This short course will highlight the master minds in the history of antenna theory. This short course will focus on the derivation of circuit theory of the wire-slot composite (or Yin-Yang) Antennas and the formulation of mode theory of the differential microstrip patch antennas. The attendees will find the short course interesting, informative, enlightening, and more importantly replenishing to their classroom learning.
Short Bio：
Yueping ZHANG (M’03-SM’07-F’10) is currently Professor with the School of Electrical and Electronic
Engineering at Nanyang Technological University, Singapore. He was Distinguished Lecturer of the IEEE Antennas and Propagation Society (IEEE AP-S)
(2018–2022) and Associate Editor of the IEEE Transactions on Antennas and Propagation
(IEEE TAP) (2010–2016).
He received the 2012 Sergei A. Schelkunoff Transactions Prize Paper Award and the 2020 John Kraus Antenna Award from the IEEE Antennas and Propagation Society. He also received the 2022 Exceptional Technical Achievement Award from the IEEE Electronics Packaging Society and the Best Paper Award of the Journal of Microwaves of Chinese Institute of Electronics (CIE) in 2023.
3. Title：Broadband technology and decoupling technology of base-station antennas
Lecturer： Qing-Xin CHU，Professor，IEEE Fellow ， CIE Fellow
South China University of Technology
Abstract:
Mobile communication has entered the 5G, new applications and requirements pose unprecedented challenges to the design of base-station antennas. On the one hand, in order to meet the simultaneous operation of multiple communication systems, the antenna needs to work in a wide frequency band. On the other hand, in order to save the space occupied by the antennas, the base station antenna adopts dual polarization and multiple arrays with different frequencies or the same frequency have the same aperture, so the antennas are required to be as small as possible. The traditional broadband antenna theory and technology are either insufficient in bandwidth or too bulky to meet the requirements of modern base-station antennas. This short course will introduce the broadband mechanism and design method of miniaturized dual-polarization base-station antennas based on the concepts of multi-mode and multi-resonance to realize the broadband of the antennas without increasing the volume.
In the 5G, the number of antennas has increased sharply in the limited space in the multi-frequency aperture-shared base-station antennas including 2G, 3G, 4G and 5G, which results in serious coupling between antennas and serious impedance mismatch, decreased isolation and pattern distortion of base-station antennas. Therefore, decoupling technology has become the most important thing in the design and research of base-station antennas. Based on the mechanism of electromagnetic field blocking and current cancellation, the decoupling technology based on slot loading, choke and back cavity is introduced in this short course, which realizes effective decoupling in dual-band and triple-band broadband aperture-shared base-station antennas.
Qing-Xin CHU is the professor with the School of Electronic and Information Engineering, South China University of Technology, the founder of IEEE Guangzhou AP/MTT Chapter, the vice-chair of Chinese Institute of Electronic (CIE) Antenna Society, the vice-chair of CIE Propagation Society, IEEE Fellow and CIE Fellow. He has published two books, more than 470 papers in journals and more than 460 papers in conferences, in which several papers were selected in ESI high cited papers. He has been elected as the highly cited scholar by Elsevier since 2014. And Global Lifelong Science Influence List in 2024. He has authorized more than 120 invention patents of China. He was the recipient of the Science Awards by CIE in 2018 and 2016, the Science Award by Guangdong Province of China in 2013, the Science Awards by the Education Ministry of China in 2008 and 2002. His current research interests include antennas and microwave devices in wireless communication.
4. Title：Recent AI-empowered Electromagnetic Inversion Methods
Lecturer： Professor Lianlin Li
Peking University
Abstract:
Electromagnetic (EM) inversion is of fundamentally importance in diverse areas of science, engineering and military; but it remains an open challenge in how to regularize efficiently the inherent ill-posedness, especially for the large-scale problem. Over the past years, modern AI techniques have been drastically advanced, and have revolutionarily refreshed our insights into EM inversions with many novel promising paradigms. In this tutorial, I will make four-aspect discussions as following, i.e.,
1) a concise review on conventional EM inversion methods, highlighting the inherent difficulties for the practical deployment;
2) three representative deep-learning-driven inverse scattering methods developed in our group, i.e., DeepNIS, cRG-Flow, and EM diffusion model;
3) the semantic-EM inversion method with modern large-capacity foundation models (like, BERT, ChatGPT, and so on), focusing on a novel concept of semantic regularization and its basic concept, principle and application;
4) some challenges and future potential directions.
I faithfully expect that this tutorial is insightful in bridging the important semantic gap between EM inversion and AI techniques, and provides some useful guidelines for students, scientists and engineers in the relevant research areas.
He received the Ph.D. degree from the Institute of Electronics, Chinese Academy of Sciences, Beijing, China, in 2006. He is a Hundred Talents Program Professor with Peking University, Beijing, China. His research interests include electromagnetic inversion theories and applications, and he has published over 80 referred journal papers in Nature Electronics, Nature Communications, Advanced Science, Light: Science and Applications, IEEE Trans., and so on.
5. Title： Cross-Scale Computational Quantum Electromagnetics
Lecturer： Wei E. I. Sha, Tenured Associate Professor,
Zhejiang University
Abstract:
One of the development trends in computational electromagnetics is the modeling of extremely electrically-large or electrically-small objects. For microscopic objects such as atoms, molecules, and quantum dots that are extremely electrically-small, the constitutive relations of classical electromagnetics become invalid. Therefore, it is necessary to use electromagnetics-quantum mechanics (EM-QM) models, which couple Maxwell’s equations to Schrödinger or optical Bloch ones, to describe the interactions between the electromagnetic fields and the microscopic objects. During the modeling process, challenges arise from the cross-scale problems in space, time, and amplitude. This course will cover the fundamental equations in the semiclassical quantum electromagnetics, cross-scale computational methods, and their applications in quantum precision measurement, including atomic clocks, quantum magnetometers, and Rydberg atom antennas.
Wei E.I. Sha is currently a tenured Associate Professor at the College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China.
6. Title：Electromagnetic Information Theory from an Industry Perspective
Lecturer： Tengjiao Wang, Principle Research Engineer,
Huaiwei Technologies Co., Ltd.
Abstract:
To satisfy the future requirements of 5G-Advanced wireless communication for increased capacity, wider coverage, enhanced experience, and new applications in vertical industries, new communication technologies that leverage the information-carrying capabilities of electromagnetic waves are emerging swiftly. Electromagnetic information theory, by integrating electromagnetic theory with information theory, is constructing a new theoretical framework for wireless communication systems, promising to bring new breakthroughs to the field. This report delves into the essence and historical development of electromagnetic information theory, highlighting Huawei's research needs and advancements in its industrial applications. It covers technological exploration in areas such as finite aperture, near-field communication, multi-mode multi-port, and digital twins of wireless channel, and identifies the key challenges that electromagnetic information theory faces in the context of 5G-Advanced wireless communication.
Tengjiao Wang 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 5G-Advanced 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 Excellent Engineer Award of Huawei Technologies in 2023, 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 International Conference on Communications (ICC), IEEE Global Communications Conference (GLOBECOM), IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI), IEEE Vehicular Technology Conference (VTC), and IEEE/CIC International Conference on Communications in China (ICCC).