Presenter | Qing Huo Liu |
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Affiliation | Eastern Institute of Tech (China) |
Qing Huo Liu received his B.S. and M.S. degrees in physics from Xiamen University, China, and Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign, USA. His research interests include computational electromagnetics and acoustics, inverse scattering, and their applications. He has published over 750 refereed journal papers in these areas. He was a Research Scientist and Program Leader with Schlumberger-Doll Research before moving to academia. From 1999 to 2022 he was with Duke University as a tenured Professor of Electrical and Computer Engineering. Since 2022 he has been a Chair Professor and Dean of Electronic Science and Technology, Eastern Institute of Technology, Ningbo, China.
Professor Liu is a Fellow of the IEEE, Fellow of Optica, Fellow of the Acoustical Society of America, and Fellow of Electromagnetics Academy. From 2015-2018 he served as the founding Editor-in-Chief of the IEEE Journal on Multiscale and Multiphysics Computational Techniques. He received the 1996 Presidential Early Career Award for Scientists and Engineers (PECASE) from the White House, USA. He is also the recipient of the 2017 Technical Achievement Award and 2018 Computational Electromagnetics Award from the Applied Computational Electromagnetics Society, and the 2018 Harrington-Mittra Award in Computational Electromagnetics from IEEE Antennas and Propagation Society.
The rapid progress in wireless communication systems demands advanced computational tools to model electromagnetic phenomena across multiple scales, from intricate antenna designs to large-scale propagation environments. This presentation introduces a new multiscale computational electromagnetics framework that combines the Discontinuous Galerkin (DG) method with the Finite Element Spectral Integral (FESI) method and Spectral Element Method (SEM). The DG method integrates specialized solvers—such as FEM for fine-scale features, SEM for intermediate domains, and SIM for large-scale propagation—ensuring accuracy and efficiency for multiscale problems. The FESI method enhances FEM by enforcing exact radiation boundary conditions on smooth, conforming surfaces, eliminating far-field approximations. Together, DG and FESI achieve seamless multiscale integration, resolving sub-wavelength details and electrically large domains with high fidelity. Applications include optimizing antenna radiation patterns on complex platforms and modeling wave propagation over long distances. Leveraging domain decomposition and high-performance computing, this framework scales to problems with a large number of unknowns, offering a robust solution for next-generation electromagnetic simulations. Preliminary results show significant improvements in accuracy and efficiency over traditional methods, particularly for multiscale scenarios. This presentation explores the theoretical foundations of DG and FESI, their implementation in antenna and propagation challenges, and their potential to advance 5G/6G technologies.
Supported by International Exchange Program of National
Institute of Information and Communications Technology (NICT)