Andrea Randazzo

  • Full Professor of Electromagnetic Fields
  • Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN).
  • University of Genoa, Genoa, Italy
Presenter Bio

Andrea Randazzo received the laurea degree in Telecommunication Engineering from the University of Genoa, Italy, in 2001 and the Ph.D. degree in Information and Communication Technologies from the same university in 2006. Currently, he is Full Professor of Electromagnetic Fields at the Department of Electrical, Electronic, Telecommunication Engineering, and Naval Architecture of the University of Genoa. His primary research interests are in the field of microwave imaging, inverse scattering techniques, numerical methods for electromagnetic scattering and propagation, electrical tomography, and smart antennas. He has coauthored the book Microwave Imaging Methods and Applications (Artech House, 2018) and more than 270 papers published in journals and conference proceedings.

Presentation
MICROWAVE IMAGING TECHNIQUES AND APPLICATIONS: FROM BASIC CONCEPTS TO RECENT DEVELOPMENTS
Microwave imaging (MI) is a class of nondestructive and noninvasive techniques aimed at inspecting targets starting from measurements of the electromagnetic field they scatter when illuminated with an incident radiation at microwave frequencies. The aim is to extract information about some of the geometrical/physical properties (e.g., the distributions of the dielectric properties) of the targets under test, often provided to the users in the form of images. However, the underlying inverse-scattering problem poses significant theoretical, numerical, and practical aspects that make this technique quite difficult and challenging. MI has been thus considered an emerging field for a long time. Across the years, engineers and scientists in universities and many other institutions devoted significant efforts in the development of new and innovative solutions, to face the challenging problem of developing effective measurement systems and data processing algorithms. Recent developments, however, allow to consider it a promising tool in several applications, such as nondestructive testing and evaluations, subsurface prospection, security, and medical imaging. In this lecture, MI techniques and their application in different fields will be reviewed. After an introduction concerning the basic concepts of the electromagnetic inverse problem (which is the basic theory of MI methods), some of the commonly adopted approaches are discussed, together with information about the related systems. Some specific examples in different applicative fields will also be provided. Finally, recent developments and future trends will be addressed.

Special Thanks

Conference Sponsors

Sponsored by IEEE Instrumentation & Measurement Society, and TC-19 Technical Committee on Imaging Signals and Systems in conjunction with the IEEE International School of Imaging

Local Sponsors

IEEE NY Chapter of Systems, Man, Cybernetics (SMC) Society

IEEE NY Chapter of Computer Society

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