Past Event: Oden Institute Seminar

Non-Iterative Reconstruction of Acoustic Speeds from Near-Field Data

Yang Yang, Professor, Computational Mathematics, Science and Engineering, Michigan State University

Abstract

We present a non-iterative method as well as its linearization to reconstruct an isotropic acoustic speed from the near-field data represented by the Neumann-to-Dirichlet map. The algorithm is designed based on the boundary control method and involves only stable computation. Numerical validation is provided with both full and partial data.

Biography

Dr. Yang Yang is an assistant professor in the Department of Computational Mathematics, Science and Engineering, Michigan State University. He received the bachelor’s degree from Zhejiang University in 2009, and PhD in math from the University of Washington in 2014. Before joining MSU, he worked as a Golomb Visiting Assistant Professor 2014-2017 at Purdue University. Yang is a recipient of the NSF CAREER award, his research interest is theoretical and computational inverse problems as well as their applications in tomographic image reconstruction.