Course Purposes
The exploitation of electromagnetic field data as a sensing tool paves the way to a number of interesting engineering applications including antenna testing and characterization, biomedical diagnostics, humanitarian demining, archeological prospection, through-the-wall imaging, non‐destructive testing of transport infrastructures and buildings, and many others.
This course, after reviewing fundamental equations and main difficulties of inverse problems in high-frequency electromagnetics, will focus on classical and recently introduced solution procedures and algorithms, discussing capabilities, limitations, and perspectives of both approximate and 'exact' reconstruction methods. Applicative examples, including exercises and lessons regarding specific applications, will corroborate the developed concepts.
The course is targeted to PhD students, Researchers, Scientists, and Engineers who are willing to:
(a) learn about the basics of microwave diagnostics and imaging;
(b) enhance their background on inverse problems in electromagnetics;
(c) know about the leading edge and more recent advances on inversion algorithms;
(d) take an overview on the applications of inverse scattering techniques to research, industrial, and civil frameworks.
- Day 1: Introduction and Basic Theory
- Day 2: Basic Tools for Ill-Posed Problems and Qualitative Imaging Methods
- Day 3: Quantitative Imaging: Approximated and Complete Methods
- Day 4: Imaging Systems and Applications
- Day 5: Further Applications & Advanced Topics
Teachers
Dr. CROCCO Lorenzo
CNR
Italy
Prof. ISERNIA Tommaso
University Mediterranea of Reggio Calabria
Italy
Prof. LAS-HERAS Fernando
University of Oviedo
Spain
Dr. LESSELIER Dominique
CNRS
France
Prof. LOVETRI Joe
University of Manitoba
Canada
Prof. MASSA Andrea
ELEDIA - University of Trento, Italy & UC3M, Spain
Dr. MORABITO Andrea F.
University Mediterranea of Reggio Calabria
Italy
Prof. OLIVERI Giacomo
ELEDIA - University of Trento
Italy
Prof. ROCCA Paolo
ELEDIA - University of Trento
Italy
Dr. SALUCCI Marco
ELEDIA - University of Trento
Italy
Prof. YAROVOY Alexander
Delft University of Technology
The Netherlands