Collaboration is a major component that propel the development of civilization. Its presence is found in everyday life situations as simple as two persons joining force to lift a heavy object to a large research team working together to solve a physical or abstract problem, and to workers in a production plant producing machinery. For electrical engineers engaged in research collaboration enables expertise and insight of the participating individuals to complement each other, leading to outcomes that go beyond a simple superposition of the capabilities of the participants. When scholars from different disciplines join effort to explore new phenomena or applications that call for expertise from different fields, new disciplines emerge, optoelectronics and computational electromagnetics being two examples. This aspect of intellectual growth can easily be gauged by the increase in the technical society numbers within the IEEE. As our knowledge base continues to increase, along with it comes the complexity in the functionality of manufactured goods the need for collaboration in engineering work is ever increasing. As a result of technology’s dual role in the betterment of livelihood and in weaponry, there is already episodes of international relations being hinged upon technology transfer and technical collaborations in international projects. Advocacy in peaceful use of technology and openness in knowledge exchange in basic scientific discovery and assessment is vital for protecting the quality of life for mankind.

Thomas Wong read electrical engineering at the University of Hong Kong and did graduate work in microwave measurement of materials at Northwestern University. He joined the faculty of Illinois Institute of Technology in 1981 and is currently professor emeritus. He has served as graduate program director in electrical and computer engineering, department chairman, and chair of the faculty council. His research has

mainly been in applied electromagnetics, microwave instrumentation, and material characterization. He has been involved in the planning, development and mentoring in an interdisciplinary project-based learning program for two decades. He is the author of Fundamentals of Distributed Amplification (Artech, 1993), co-author of Electromagnetic Fields and Waves (Higher Education Press, 2006 & 2012), and originator of several patents in microwave electronics and wireless systems.

人工智能驱动科学研究（AI for Science， AI4S）被视为继实验归纳、理论推演、计算模拟、数据密集型科学之后的第五种科学研究范式，推动人工智能从辅助工具升级为引领科学革命的颠覆性力量。在这一变革性浪潮中，人工智能与计算电磁学的深度交叉融合，正显著推动电磁计算技术的智能化发展，成为科学计算领域至关重要的前沿方向。本次报告将聚焦于“智能计算电磁学”，围绕其“算法-数据-算力-应用”的完整创新链条，系统阐述报告人近期取得的一系列原创性突破。在基础理论层面，我们算法上突破了传统计算方法面临“算不准、算不了、算不快”的瓶

颈；数据上发展数据-物理混合驱动的智能设计技术解决了传统计算方法优化效率低、自动化程度低等问题；算力上解决了传统计算硬件实时性差、功耗大等挑战。此外，我们将探讨智能计算电磁学如何赋能电磁器件的智能优化设计与电磁设备的智能控制，推动人工智能技术与电磁学的深度交叉融合。

Professor You Jianwei is a nationally recognized high-level young talent and Young Chief Professor at Southeast University. He serves as a member of the Circuits and Systems Committee of the Chinese Institute of Electronics and the Micro-/Nano-Technology Special Committee of the Chinese Optical Engineering Society. He has long been engaged in the development of software and hardware for computational

electromagnetics and electromagnetic metamaterials. His research achievements include over 100 academic papers and five monographs or book chapters, with first-author or corresponding-author publications in prestigious journals such as journals in the Science and Nature families, as well as flagship IEEE Transactions journals. The proprietary software and hardware platforms he has developed have been applied by

numerous key institutions across China. His work has been recognized with several honors, including the Top Ten Scientific and Technological Advances in Chinese Higher Education Institutions, the Outstanding Young Team Award for Central Universities, and the First Prize of Science and Technology in Jiangsu Province.

The electromagnetic spectrum, as a national strategic resource, is a critical foundation for the operation of informationized warfare systems and for the effective release of combat capabilities. Precise spectrum awareness and efficient spectrum management have become core elements for enabling full-domain command and control of the electromagnetic environment. China has established an electromagnetic spectrum

awareness and management framework grounded in artificial intelligence and structured around the OODA loop, achieving substantial progress in recent years. However, due to a relatively late start, significant challenges remain in complex electromagnetic environments, including incomplete sensing, insufficient cognition, unstable control, and inaccurate evaluation. To address these challenges, we has conducted systematic studies on precise spectrum sensing, intelligent spectrum cognition, and efficient spectrum control. We have developed a technology roadmap that is data-driven, cognition-centered, and control-oriented, leading to a series of encompassing datasets, algorithms, software platforms, and hardware systems. These developments collectively enable a transformative leap from incomplete sensing, unclear cognition, unstable control, and inaccurate evaluation to comprehensive sensing, accurate cognition, stable control, and precise evaluation in electromagnetic spectrum operations.

Guan Gui (Fellow, IEEE) received his Ph.D. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2012. From 2009 to 2014, he was a research assistant and postdoctoral research fellow at Tohoku University, Japan. From 2014 to 2015, he was an Assistant Professor at Akita Prefectural University in Japan. Since 2015, he has been a Professor at Nanjing University of Posts and Telecommunications, China. His research focuses on intelligent sensing and recognition, intelligent signal processing, and physical layer security. Dr. Gui has authored over 200 IEEE journal and conference papers and received several best paper awards, including at ICC 2017, ICC 2014, and VTC 2014-Spring. He is a fellow of IEEE, IET, and AAIA, and he is recognized for his contributions to intelligent signal analysis and

wireless resource optimization. Among his accolades, he received the IEEE Communications Society Heinrich Hertz Award in 2021 and was named a Clarivate Analytics Highly Cited Researcher from 2021 to 2024. Dr. Gui is a Distinguished Lecturer for the IEEE Vehicular Technology Society (VTS) and the IEEE Communications Society (ComSoc). He is an editorial board member for several leading journals, including the IEEE Transactions on Information Forensics and Security, IEEE Internet of Things Journal, and IEEE Transactions on Vehicular Technology. Additionally, he serves as the Editor-in-Chief of KSII Transactions on Internet and Information Systems. He has also held prominent roles in international conferences, such as Executive Chair of IEEE ICCT 2023, Executive Chair of VTC 2021-Fall, and Vice Chair of WCNC 2021.