报 告 人：Atef Z. Elsherbeni教授（Colorado School of Mines）
报告题目：Recent Developments in Computational Electromagnetics using The Finite Difference Time Domain Method
报告时间：2018年1月12日（周五）15:00
报告地点：静远楼大数据实验室204会议室
报告人简介：
Atef Z. Elsherbeni received his Ph.D. degree in Electrical Engineering from Manitoba University, Winnipeg, Manitoba, Canada, in 1987. Dr. Elsherbeni was with the University of Mississippi from 1987 to 2013. He was a Finland Distinguished professor from 2009 to 2011. He joined the Electrical Engineering and Computer Science Department at Colorado School of Mines in August 2013 as the Dobelman Distinguished Chair Professor. Currently he is the Head of the Electrical Engineering Department. His research interest includes the scattering and diffraction of EM waves, finite-difference time-domain analysis of antennas and microwave devices, field visualization and software development for EM education, interactions of electromagnetic waves with the human body, RFID and sensor integrated FRID systems, reflector and printed antennas and antenna arrays, and measurement of antenna characteristics and material properties. His academic achievements includes: Funded Research Grants with a total amount of $11,413,903, 13 books, 29 book chapters, 171 journal publications, 15 developed software packages, 56 (35 MS and 21 PhD) graduate students advised, 40 invited presentations, 221 proceedings publications, 174 conference abstracts, 74 technical reports, 35 short courses offered, 43 invited talks. Dr. Elsherbeni is a Fellow member of IEEE and ACES. He is the Editor-in-Chief for ACES Journal. He was the general Chair for the 2014 APS-URSI Symposium and was the president of ACES Society from 2013 to 2015.
报告摘要：
This presentation will focus on recent developments in the finite difference time domain (FDTD) method for electromagnetics and antenna applications. First a brief introduction to the method, its capabilities, and the type of lumped circuit elements, linear and non-linear, which can be integrated into an electromagnetic simulation will be presented. The speed up of the FDTD method using graphical processing gaming cards (GPUs) along with the use of different programming languages such as Fortnan, Matlab, CUDA, and OpenCL will be highlighted.