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High Frequency Applications of Wide band Adjoint Sensitivity Analysis

August 6, 2015
4:00 pmto5:30 pm

The Electrical and Computer Engineering Department of Dalhousie University, along with the Signal Processing / Microwave Theory and Techniques Joint Chapter and Circuits and Systems / Solid State Circuits Society Joint Chapter of the IEEE Canadian Atlantic Section wish to invite you to the following presentation.

Title of Talk: High Frequency Applications of Wide band Adjoint Sensitivity Analysis
Speaker: Prof.  Mohamed Bakr, McMaster University
Time: 16:00pm – 17:30pm, Thursday, August 6th, 2015
Place: Dalhousie University, Sexton Campus, Room B308 • Halifax • NS • Canada.
Cost: Free. Light refreshments will be served.


The Adjoint Variable Method (AVM) enables efficient estimation of the sensitivities of the desired response or objective function with respect to all the parameters of a high frequency structures.  These parameters may include material properties or dimensions of different subdomains.  The AVM estimates the first order sensitivities of the response of interest with respect to all parameters using only one extra electromagnetic (EM) simulation.  This can be contrasted with the finite difference approaches that require at least n extra simulations, where n is the number of parameters.  The cost of estimating the second order sensitivities (Hessian matrix) of the response is also reduced from O(n2) to only n extra EM simulations.  The AVM has been applied to accelerate the design of microwave and photonic structures.  It has been integrated in surrogate-based modeling and optimization of high frequency structures.  It has been also utilized in applications with large number of parameters such as microwave imaging and cloaking.

In this talk, I review the existing AVM tools and their applications to high frequency structures. Different AVM approaches that apply to dispersive structures such as metamaterials, THz structures, and plasmonics are reviewed.  Recent anisotropic and nonlinear AVM techniques and their applications will be addressed.  I will conclude my talk with discussion on some possible areas for research in this area.

About the Speaker:

Mohamed H. Bakr received a B.Sc. degree in Electronics and Communications Engineering from Cairo University, Egypt in 1992 with distinction (honors).  In June 1996, he received a Master’s degree in Engineering Mathematics from Cairo University. In 1997, he was a student intern with Optimization Systems Associates (OSA), inc.  From 1998 to 2000, he worked as a research assistant with the Simulation Optimization Systems (SOS) research laboratory, McMaster University, Hamilton, Ontario, Canada.  He earned the Ph.D. degree in September 2000 from the Department of Electrical and Computer Engineering, McMaster University.  In November 2000, he joined the Computational Electromagnetics Research Laboratory (CERL), University of Victoria, Victoria, Canada as an NSERC Post Doctoral Fellow.  Dr. Bakr received a Premier’s Research Excellence Award (PREA) from the province of Ontario, Canada, in 2003.  He also received an NSERC Discovery Accelerator Supplement (DAS) award in 2011.  In 2014, he was a co-recipient of Chrysler’s innovation award for a project on novel designs of hybrid cars.  His research areas of interest include optimization methods, computational electromagnetics, computer-aided design and modeling of microwave circuits and photonic devices, nanotechnology, neural network applications, smart analysis of high frequency structures and efficient optimization using time/frequency domain methods. He is currently working as professor with the Department of Electrical and Computer Engineering, McMaster University.  He is the author/coauthor of over 220 journal and conference papers, one book on engineering optimization, two book chapters on optimization and electromagnetic modeling, and two patents.

Location Information:

Room B308 is located on the ground floor of the ‘B’ building of Sexton Campus. 1360 Barrington Street, Halifax.

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