Physics-Inspired Convolutional Neural Network for Solving Inverse Scattering Problems
報 告 人：
Xudong Chen Associate Professor, National University of Singapore
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 important. 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.
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 journalpapers, with total citation 4,900+ according to ISI Web of Science (SCI).He has authored the bookComputational Methods for Electromagnetic InverseScattering(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 topicof 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 anAssociate Editor of theIEEE Transactions on Microwave Theory andTechniquessince 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.
陳旭東，IEEE電磁學會會士，分別于1999年和2001年獲得中國浙江大學電氣工程學士和碩士學位，2005年獲得美國麻省理工大學劍橋分校博士學位。自2005年起，他一直在新加坡國立大學工作。他發表了150篇期刊論文，根據ISI科學網（SCI）其總引文4900+。他撰寫了《電磁逆散射的計算方法》（Wiley IEEE，2018）一書。他的研究興趣主要包括電磁逆散射、傳感和數據融合、光學/紅外/微波掃描顯微鏡、光學加密和超材料。他在各種會議上組織了20多次關于逆散射和成像的會議。他是10余次會議組織委員會的成員，擔任總主席、TPC主席、獎勵委員會主席等。自2015年以來，他一直是《IEEE微波理論與技術交易》的副主編。陳博士是2010年國際科學聯合會青年科學家獎和IEEE ICCEM會議最佳論文獎的獲得者。