Advances in sampling methods for electromagnetic inverse scattering problems
Tuesday, April 6, 2021
3:30PM – 5PM
Broadly speaking, inverse scattering problems are the problems of determining information about an object (scatterer) from measurements of the field scattered from that object. These problems have applications to such diverse areas as nondestructive testing, radar, geophysical exploration, and medical imaging. Sampling methods, which were initiated by Colton and Kirsch in 1996, have become a major and efficient approach for solving inverse scattering problems. These methods are fast, non-iterative, simple to implement, and essentially do not require a priori information about the unknown scatterer. In this talk, we will discuss some of our recent results on new types of sampling methods for solving electromagnetic inverse scattering problems.
Dinh-Liem Nguyen is currently an Assistant Professor in the Department of Mathematics at Kansas State University. His research interests lie in applied inverse problems, scattering theory, and scientific computing. He obtained his Ph.D. in Applied Math from Ecole Polytechnique (France) in 2013. After that, he spent three years as a postdoctoral assistant professor at the University of Michigan and one year as a postdoctoral fellow at the University of North Carolina at Charlotte.