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
Applications
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