Course Purposes

The exploitation of electromagnetic field data as a sensing tool enables numerous engineering applications, including biomedical diagnostics, underground investigations, through-the-wall imaging, and non-destructive testing of transport infrastructures and buildings, among others.

This course reviews the fundamental equations and challenges of inverse problems in high-frequency electromagnetics. It then focuses on classical and modern solution procedures and algorithms, discussing the capabilities, limitations, and future perspectives of both approximate and exact reconstruction methods. Theoretical concepts will be reinforced with practical examples, exercises, and application-specific lessons.

Targeted at PhD students, researchers, scientists, and engineers, this course aims to: (a) provide foundational knowledge of microwave diagnostics and imaging, (b) strengthen understanding of inverse problems in electromagnetics, (c) explore cutting-edge and recent advances in inversion algorithms, and (d) showcase applications of inverse scattering techniques across research, industrial, and civil domains.

• Day 1: Introduction and Basic Theory
• Day 2: Methods for Dealing with Non-Linearity and Ill-Posedness
• Day 3: Deterministic and Stochastic Imaging Methods
• Day 4: AI-Based Imaging Methods and Applications
• Day 5: Further Applications & Future Trends