Course Program

Course Topics

The course starts by reviewing the basic principles of inverse
source and inverse scattering problems together with their
inherent difficulties. The most popular qualitative and
quantitative solution methods are then presented along with
the emerging paradigms such as compressive sensing and
machine-learning. A series of lectures is dedicated to real-world
applications of inverse source and inverse scattering methods.
The course is integrated with interactive lectures providing a
hands on experience with some processing tools.

Detailed Course Breakdown

Introduction and mathematical formulation

Inverse Source Problems

Radiated field properties
Regularization techniquesFields, waves and matter

Inverse Scattering Problems

Scattered field properties
Linearized methods
Qualitative imaging methods
Full-wave imaging methods

Emerging topics and methods

Compressive sensing for inverse problems
Machine Learning based approaches for inverse scattering


Antenna Diagnostics and Characterization
Subsurface sensing / Ground Penetrating Radar
Through-the wall imaging / Security
Biomedical imaging
Industrial applications: food contamination imaging

Interactive lectures

Tools for inverse source problems
Linear and qualitative microwave imaging