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Author: Qiang Ren

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Qiang Ren received the B.S. and M.S. degrees both in electrical engineering from Beihang University, Beijing, China, and Institute of Acoustics, Chinese Academy of Sciences, Beijing, China in 2008 and 2011, respectively, and the Ph D degree in Electrical Engineering from Duke University, Durham, NC, in 2015. From 2016 to 2017, he was a postdoctoral researcher with the Computational Electromagnetics and Antennas Research Laboratory (CEARL) of the Pennsylvania State University, University Park, PA. In Sept 2017, he joined the School of Electronics and Information Engineering, Beihang University, Beijing, China, as an “Excellent Hundred” Associate Professor. Dr. Ren is the recipient of the Young Scientist Award of 2018 International Applied Computational Electromagnetics Society (ACES) Symposium in China. He serves as the Associate Editor of ACES Journal and Microwave and Optical Technology Letters (MOTL), and also serves as a reviewer for more than 30 journals. His current research interests include numerical modeling methods for complex media, multiscale and multiphysics problems, inverse scattering, deep learning and parallel computing. He has published more than 70 papers on the journals and conferences.   Yinpeng Wang received the B.S. degree in Electronic and Information Engineering from Beihang University in 2020, where he is currently pursuing his M.S. degree in Electronic Science and Technology. From 2017 to 2018, he was a researcher at the Physical Experiment Center, Beihang University. In 2018, he worked as a research assistant in the Spintronics Interdisciplinary Center. Since 2018, he has been a member of the Institute of EMC Technology. Mr. Wang focuses on the research of electromagnetic scattering, inverse scattering, heat transfer, computational multi-physical fields, and deep learning. Since 2018, Mr. Wang has published 8 peer-reviewed technical papers in international journals and conferences. He serves as a reviewer for Springer, IOP and IEEE journals. He was a recipient of the Outstanding Freshmen Scholarship and the First Prize of the Academic Scholarship.   Yongzhong Li received the B.S. degree in Electronic and Information Engineering from Beihang University in 2020. He is now pursing the MASc degree in Electrical and Computer Engineering, University of Toronto. From 2018 to 2020, he has been a research assistant of the Institute of EMC Technology. From 2020 to 2021, he worked as a research assistant in the Physics department at the Hong Kong University of Science and Technology. Now he is a graduate student at University of Toronto. Mr. Li focus on the research of numerical modeling for multiphysics and multiscale problem, machine learning and wave functional material. Since 2018, Mr. Li has published 6 peer-reviewed technical papers in international journals and conferences. He serves as a Reviewer for IOP journals. He was a recipient of the Outstanding Graduate in 2020.   Shutong Qi received the B.S. degree in Electronic and Information Engineering from Beihang University in 2020. He is pursing the Ph.D. degree in Electrical and Computer Engineering, University of Toronto. From 2018 to 2020, he has been a research assistant of the Institute of EMC Technology. Now he is a graduate student of University of Toronto. Mr. Qi focus on the research of finite-difference method, electromagnetic scattering, deep learning and human-computer interaction. Since 2018, Mr. Qi has published 7 peer-reviewed technical papers in international journals and conferences. He was a recipient of the Outstanding Graduate in 2020.




10 Ebooks by Qiang Ren

Joseph Tucker & Dudley L. Poston, Jr.: Gender Policy and HIV in China
China’s concentrated HIV epidemic is on the brink of becoming a generalized one and syphilis infection has become a major public health threat. Social factors relating to gender and gender inequality …
PDF
English
DRM
€96.29
Yilin Hou & Qiang Ren: The Property Tax in China
This monograph offers a detailed analysis of the creation, pilot implementation, and possible wide adoption of the real property tax at the local level in China. Starting in 2003, as China’s economy …
PDF
English
€53.49
Lijun Chen & Qiang Ren: Child and Youth Well-being in China
The true measure of any society is how it treats its children, who are in turn that society’s future. Making use of data from the longitudinal Chinese Family Panel Studies survey, the authors of this …
EPUB
DRM
€23.73
Lijun Chen & Qiang Ren: Child and Youth Well-being in China
The true measure of any society is how it treats its children, who are in turn that society’s future. Making use of data from the longitudinal Chinese Family Panel Studies survey, the authors of this …
PDF
DRM
€23.73
Qiang Ren: Public Interests in International Investment Law
Are conflicts between the ‘old capitalists’ and ‘new money’ manifest in today’s economy? Are investment treaties, which have traditionally been used to protect capital exporting states, now beginning …
PDF
DRM
€117.71
Qiang Ren & Yinpeng Wang: Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning
This book investigates in detail the deep learning (DL) techniques in electromagnetic (EM) near-field scattering problems, assessing its potential to replace traditional numerical solvers in …
PDF
English
€128.39
Qiang Ren & Su Yan: Advances in Time-Domain Computational Electromagnetic Methods
Advances in Time-Domain Computational Electromagnetic Methods Discover state-of-the-art time domain electromagnetic modeling and simulation algorithms Advances in Time-Domain Computational …
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English
DRM
€111.99
Qiang Ren & Su Yan: Advances in Time-Domain Computational Electromagnetic Methods
Advances in Time-Domain Computational Electromagnetic Methods Discover state-of-the-art time domain electromagnetic modeling and simulation algorithms Advances in Time-Domain Computational …
EPUB
English
DRM
€111.99
Qiang Ren & Yinpeng Wang: Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the …
PDF
English
DRM
€55.22
Qiang Ren & Yinpeng Wang: Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the …
EPUB
English
DRM
€55.07