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讲座预告:Learning-assisted intelligent metasurfaces for beam direction finding and redirection

发布者:李蕴力发布时间:2025-07-23浏览次数:10

主讲人简介:

Shah Nawaz Burokur (IEEE M’18–SM’21) received the Ph.D. degree from Université de Nantes, Nantes, France, in 2005. He is currently an Associate Professor with Université Paris Nanterre, France, where he carries his research activities at the LEME, a multidisciplinary laboratory in energetics, mechanics and electromagnetics. He has authored or co-authored 1 book on transformation optics based antennas, 7 book chapters and more than 200 articles in scientific journals. He holds three patents on metamaterial-based and metamaterial inspired antennas. His current research interests are in the areas of periodic structures, complex media, metamaterials, metasurfaces and metagratings, in the analysis of integrated planar and conformal circuits, antennas, sensors, orbital angular momentum and holographic imaging. Dr. Burokur was a recipient of the Young Scientist Award, presented by the Union Radio-Scientifique Internationale (URSI) Commission B, in 2005. He serves as an Editorial Board member and reviewer for various journals. On a national level in France, he is the co-coordinator of a think tank on new antenna concepts involving new technologies, such as metamaterials and metasurfaces, in the framework of the French GDR Ondes.



报告题目

Learning-assisted intelligent metasurfaces for beam direction finding and redirection


报告时间:

2025724日(周四)9:00


报告地点:

34号楼B1215


摘  要Metasurfaces are artificial structures that can be used to manipulate electromagnetic waves. Reconfigurable metasurfaces are engineered surfaces where the properties can be modified by an external stimuli, such as a voltage or a current. However, traditional reconfigurable metasurfaces are still limited by the need of human intervention. This is because the external voltage or current must be applied in a specific way to achieve the desired result. Intelligent metasurfaces, on the other hand, are able to take decisions on their own. This is made possible by the use of deep learning or artificial intelligence (AI). Intelligent metasurfaces have the potential to revolutionize the field of electromagnetics and they can be used for applications that are currently not possible with traditional metasurfaces, such as self-adapting antennas and beamforming. In my talk, I will present the latest results of my group in the context of reconfigurable/intelligent metasurfaces in the microwave domain concerning direction-of-arrival (DOA) estimation and beam redirection for communication systems.



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