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Author:   Maokun Li (Associate Professor, Tsinghua University, Department of Electronic Engineering, China) ,  Marco Salucci (Assistant Professor, University of Trento, Department of Civil, Environmental, and Mechanical Engineering (DICAM), Italy)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781839535895

ISBN 10:   183953589
Pages:   480
Publication Date:   08 June 2023
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: An introduction to deep learning for electromagnetics Chapter 2: Deep learning techniques for electromagnetic forward modeling Chapter 3: Deep learning techniques for free-space inverse scattering Chapter 4: Deep learning techniques for non-destructive testing and evaluation Chapter 5: Deep learning techniques for subsurface imaging Chapter 6: Deep learning techniques for biomedical imaging Chapter 7: Deep learning techniques for direction of arrival estimation Chapter 8: Deep learning techniques for remote sensing Chapter 9: Deep learning techniques for digital satellite communications Chapter 10: Deep learning techniques for imaging and gesture recognition Chapter 11: Deep learning techniques for metamaterials and metasurfaces design Chapter 12: Deep learning techniques for microwave circuit modeling Chapter 13: Concluding remarks, open challenges, and future trends

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Author Information

"Maokun Li (senior member, IEEE) is an associate professor in the Department of Electronic Engineering at Tsinghua University, Beijing, China. He received his BS degree in electronic engineering from Tsinghua University, Beijing, China, in 2002, and his MS and PhD degrees in electrical engineering from University of Illinois at Urbana-Champaign in 2004 and 2007, respectively. After graduation, he worked in Schlumberger-Doll Research as a research scientist before he joined Tsinghua University in 2014. Marco Salucci (senior member, IEEE) received an MS degree in Telecommunication Engineering from the University of Trento, Italy, in 2011, and his PhD degree from the International Doctoral School in Information and Communication Technology of Trento in 2014. He was a postdoctoral researcher at CentraleSupélec, in Paris, France, and then at the Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA), in France. He is currently an assistant professor at the Department of Civil, Environmental, and Mechanical Engineering (DICAM) at the University of Trento, and a Research Fellow of the ELEDIA Research Center. Dr Salucci is a member of the IEEE Antennas and Propagation Society and he was a member of the COST Action TU1208 ""Civil Engineering Applications of Ground Penetrating Radar."" He is the associate editor for communications and memberships of the IEEE Transactions on Antennas and Propagation. Moreover, he serves as an associate editor of the IEEE Transactions on Antennas and Propagation and of the IEEE Open Journal of Antennas and Propagation, and as a reviewer for different international journals including IEEE Transactions on Antennas and Propagation, IEEE Transactions on Microwave Theory and Techniques, IEEE Journal on Multiscale and Multiphysics Computational Techniques, and IET Microwaves, Antennas & Propagation. His research activities are mainly concerned with inverse scattering, biomedical and GPR microwave imaging techniques, antenna synthesis, and computational electromagnetics with focus on system-by-design methodologies integrating optimization techniques and artificial intelligence for real-world applications."

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