2025 International Young Scholars Workshop on Advanced Antenna Technology for Wireless Communication
The 2025 International Young Scholars Workshop on Advanced Antenna Technology for Wireless Communication (IYSWAATWC 2025) will be held in Wuhan, China on November 19th. The event is jointly organized by Central China Normal University, Wuhan University, and the IEEE Antennas and Propagation Wuhan Chapter. This workshop is the first event technically sponsored by the IEEE APS Wuhan Chapter since its foundation. It offers an excellent opportunity for researchers and students in central China to exchange recent advancements in innovative antenna technology. We are honored to have invited five distinguished speakers to present their latest research findings, including topics on metasurface antennas, AI for antenna design, leaky wave antennas, and more. We hope to organize a meaningful discussion forum for all attendees. We will also provide a tour of the beautiful campuses at Wuhan University and Central China Normal University.
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Address: 152,Luoyu Road, Wuhan, Hubei,China
Contact Email : linhai@ccnu.edu.cn
Tel: +8618627884302
- Co-sponsored by Central China Normal University
Speakers
Shulin Chen of University of Technology Sydney,Australia
Enabling Large-Angle Beam Steering for Next-Generation Wireless
Large-angle beam coverage is a critical requirement in next-generation wireless systems, such as joint communications and sensing, autonomous driving, and unmanned aerial vehicles, which demand robust connectivity across broad spatial domains. Achieving large-angle beam steering, especially beyond ±60°, poses substantial challenges in terms of antenna design, efficiency, and system integration. This talk presents recent advances in enabling large-angle beam coverage, focusing on the development of antennas, phased arrays, and engineered metasurfaces. We will explore how these designs can be optimized to overcome conventional limitations and deliver wide field-of-view performance without compromising gain or introducing significant sidelobes. In addition to showcasing recent results, the talk will discuss current research gaps and potential opportunities that may guide future investigations and developments in this field.
Biography:
Shulin Chen received his Ph.D. degree from the University of Technology Sydney (UTS), Australia, in 2019. From 2019 to 2022, he worked as a postdoctoral research fellow at the Global Big Data Technologies Centre (GBDTC), UTS, and he is currently a lecturer at the same university. In 2019, he was a research assistant at City University of Hong Kong (CityU), and in 2022, he conducted postdoctoral research at the State Key Laboratory of Terahertz and Millimeter Waves (SKLTMW).
His main research interests include intelligent antennas and metasurfaces, array synthesis, and applied electromagnetics. He was awarded the Australian Research Council DECRA Fellowship for Early Career Researchers (2025) and has led multiple industry–academia collaborative projects, including partnerships with Telstra and TPG.
He has received several Best Paper Awards or nominations at international conferences such as IEEE AP-S/URSI, ISAP, ISAPE, ACES, and iWEM. He was also awarded the IEEE AP-S Fellowship and the EuCAP TICRA–EurAAP Grant. He previously served as Guest Editor for special issues of IEEE AWPL and IEEE OJAP, and he is currently an Associate Editor of IEEE TCAS-II.
Haitao Chen
Technical Challenges and Innovative Development Pathways of High-Power Electrically Small Antennas
Very Low Frequency (VLF, 3–30 kHz) radio waves propagate within the spherical waveguide formed by the Earth’s surface and the lower boundary of the ionosphere. They possess advantages such as resistance to high-altitude nuclear interference, low atmospheric attenuation, and strong penetration capability, making them the most reliable means of long-distance, cross-medium communication with underwater platforms.
To achieve communication over several thousand kilometers, the radiation power of VLF transmitting systems must reach the level of hundreds of kilowatts or more. Since the wavelength of VLF electromagnetic waves ranges from 10 to 100 km, the transmitting antennas of traditional VLF communication stations are typical high-power electrically small antennas, which face unique engineering challenges.
This report will systematically elaborate on the technical characteristics of representative foreign VLF transmitting antennas, analyze the difficulties and challenges encountered by such electrically small antennas in achieving high-power and high-efficiency radiation, and reflect on their future technological development pathways.
Biography:
Haitao Chen, male, born in July 1979, received his Bachelor of Engineering degree in Radio Engineering from the School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, in 2000. He obtained his Ph.D. degree in Radio Physics from the School of Electronic Information, Wuhan University, in 2008.
He is currently a Research Fellow at the Wuhan Institute of Ship Communication, Discipline Leader at China State Shipbuilding Corporation, and Academic Leader of the Hubei Provincial Key Laboratory of Low-Frequency Electromagnetic Communication Technology. He also serves as a member of the Electromagnetic Wave Propagation Committee of the Chinese Institute of Electronics, a member of the Standardization Technical Committee for Information and Communication in the Defense Science and Technology Industry, and Vice-Chair of the IEEE Antennas and Propagation Society Wuhan Chapter. He is recognized as an expert receiving the Special Government Allowance of the State Council of China.
Jing Jin of Centeral China Normal University
Feature-Assisted Antenna Optimization Design Based on Machine Learning
This lecture mainly introduces research progress in feature-assisted antenna optimization design based on machine learning. The antenna optimization process requires repeated large-scale electromagnetic simulations, which result in high computational costs and long design cycles. At the same time, antenna optimization faces the challenge of rapidly searching among multiple competing performance indicators.
Optimization methods based on machine learning surrogate models provide an effective approach to addressing the high computational cost and lengthy design cycle of antenna optimization. In such surrogate-model-based optimization, the introduction of feature parameters to assist multi-objective optimization algorithms can significantly enhance the search capability of the algorithms and improve optimization efficiency.
Biography:
Jing Jin (IEEE Member) received the B.E. degree in Electronic Information Engineering from Wuhan University in 2014, and the dual Ph.D. degrees in Microelectronics and Solid-State Electronics from Tianjin University and in Electronics and Computer Engineering from Carleton University, Canada, in 2021. She is currently an Associate Research Fellow at the School of Physics Science and Technology, Central China Normal University.
Haoran Zu of Wuhan University of Technology
Flexible Electromagnetic Communication Technology with Dual Optical and Radio-Frequency Stealth
Transparent and stealth communication devices are among the most sought-after and actively explored goals of scientists and engineers. With their outstanding optical or radio-frequency stealth characteristics, such devices can operate silently in everyday human life while delivering extraordinary performance advantages.
Against the backdrop of next-generation wireless communication technologies, the demand for integrated and densely deployed communication devices is growing rapidly. Optical and radio-frequency stealth can significantly enhance device integration, greatly reduce band interference, and improve system radiation clearance.
However, existing technologies struggle to achieve simultaneous stealth in both optical and radio-frequency spectra for electromagnetic communication devices, and are often accompanied by issues such as poor optical transmittance, low radiation efficiency, and difficulties in flexible or topological transmission.
This report focuses on research into flexible electromagnetic communication technologies with dual stealth in optical and radio-frequency bands, aiming to address these challenges and facilitate the integrated, dense, and imperceptible deployment of communication devices.
Biography:
Haoran Zu, Ph.D., is a recipient of the Hubei Provincial Young Top Talent Program and currently serves as a Distinguished Professor at the School of Information Engineering, Wuhan University of Technology. He is also recognized as a high-level young talent under the university’s “15551” program. He graduated from the State Key Laboratory of Antennas and Microwave Technology at Xidian University.
His long-term research focuses on the design and engineering applications of electromagnetic and radio-frequency devices, including high-performance communication antennas, metamaterial-based electromagnetic devices, and microwave RF components. Over the past five years, he has published more than 20 SCI-indexed journal papers, with first-author or corresponding-author articles appearing in leading journals such as Nature Electronics, IEEE Transactions on Antennas and Propagation (TAP), and IEEE Antennas and Wireless Propagation Letters (AWPL).
He is currently undertaking several defense science and equipment pre-research projects, serves as a reviewer for journals including IEEE TAP and IEEE AWPL, and his research achievements have been featured in technology media outlets such as MIT Technology Review and Deep Tech.
Dongze of University of Electronic Science and Technology of China
Emerging Leaky-Wave Antenna Technologies for Wireless Systems
Leaky-wave antennas (LWAs) are a special class of antenna structures that combine the characteristics of waveguide transmission and space radiation. Since the first leaky-wave antenna was introduced in the 1940s, LWAs have attracted wide attention due to their advantages of high directivity, narrow beamwidth, simple feeding schemes, and frequency-dependent beam scanning.
With this unique frequency-scanning capability, LWAs demonstrate broad application prospects in various low-cost wireless systems such as imaging, sensing, and wireless power transfer, making them a research focus in both academia and industry.
Against this backdrop, this report will highlight several emerging concepts and design techniques of leaky-wave antennas, aiming to endow antennas with more flexible functionalities and superior electromagnetic performance, thereby providing new ideas and solutions for the development of future wireless systems.
Biography:
Dongze Zheng is currently a Distinguished Research Fellow (Full Professor) under the “Hundred Talents Program” at the University of Electronic Science and Technology of China (UESTC), a Ph.D. supervisor, and a Research Fellow at the Tianfu Wireless Intelligence Research Institute. He received his Ph.D. degree in 2021 from the University of Montreal, Canada, under the supervision of Academician Ke Wu. He has conducted research at the State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong, and the State Key Laboratory of Millimeter Waves, Southeast University.
He has published more than 50 papers (including over 30 SCI-indexed papers) with more than 950 citations. He has received the IEEE APS/URSI Best Paper Award and the ISAPE Young Scientist Award. He has been selected for several prestigious talent programs, including the Ministry of Education’s Postdoctoral Overseas Talent Recruitment Program, Jiangsu Province Young Science and Technology Talent Support Program, Huawei “Zijin” Young Scholar Program, and UESTC’s “Hundred Talents Program.”
He serves as a member of IEEE MTT-S Technical Committee 4 (TC-4), a reviewer for journals such as IEEE Transactions on Antennas and Propagation (T-AP), IEEE Transactions on Microwave Theory and Techniques (T-MTT), and IEEE Antennas and Wireless Propagation Letters (AWPL). He is also a young editorial board member of Electromagnetic Science