Physics-Inspired Convolutional Neural Network for Solving Full-Wave Inverse Scattering Problems

Published：2019-07-02

Speaker: Prof. Xudong Chen，National University of Singpore

Time and Date: 09:00 am, July 2, 2019

Place: Room 1101 of East Main Building of Guanghua Building, Handan Campus, Fudan University

Abstract:

The talk aims to solve a full-wave inverse scattering problem (ISP), which is a quantitative imaging problem, i.e., to reconstruct the permittivities of dielectric scatterers from the knowledge of measured scattering data. This talk proposes the convolution neural network (CNN) technique to solve full-wave ISPs. In order to make machine learning more powerful, a deep understanding of the corresponding forward problem is desirable. In solving ISP, the concept of induced current plays an essential role in the proposed CNN technique, which enables us to design the architecture of learning machine such that unnecessary computational effort spent in learning wave physics is minimized or avoided. Numerical simulations demonstrated that the proposed CNN scheme outperforms a brute-force application of CNN. The proposed deep learning inversion scheme is promising in providing quantitative images in real time.

Biography:

Xudong Chen received the B.S. and M.S. degrees in electrical engineering from Zhejiang University, China, in 1999 and 2001, respectively, and the Ph.D. degree from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2005. Since 2005, he has been with the National University of Singapore. He has published 150 journal papers, with total citation 4,700+ according to ISI Web of Science (SCI). He has authored the book Computational Methods for Electromagnetic Inverse Scattering (Wiley-IEEE, 2018). His research interests mainly include electromagnetic inverse scattering, sensing and data fusion, optical/infrared/microwave scanning microscopy, optical encryption, and metamaterials. He has organized 20+ sessions on the topic of inverse scattering and imaging in various conferences. He has been members of organizing committees of 10+ conferences, serving as General Chair, TPC Chair, Award Committee Chair, etc. He has been an Associate Editor of the IEEE Transactions on Microwave Theory and Techniques since 2015. Dr. Chen was a recipient of the Young Scientist Award by the Union Radio Scientifique Internationale in 2010 and of the Best Paper Award in IEEE ICCEM conference. He is a Fellow of The Electromagnetics Academy.