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Presenter: Dr. Mohamed H. Bakr - McMaster University, Hamilton, Ontario
Supervisor:

Date: Thu, November 13, 2003
Time: 14:45:00 - 15:30:00
Place: EOW 430

ABSTRACT

Abstract

We review the most recent advances in efficient optimization with the time-domain Transmission Line Modelling (TLM) method. Traditional optimization approaches utilized finite differences to approximate the response sensitivities required by the optimizer. This makes optimization with a fine-grid TLM simulator prohibitive. Adjoint Variable Methods (AVM), on the other hand, offer an interesting alternative. An adjoint TLM analysis of the original problem is derived and solved. Using only the original and adjoint simulations, the sensitivities of the objective function with respect to all designable parameters are obtained. We discuss the application of AVM with TLM for different boundary conditions. We also show how this approach can be expanded to efficiently estimate the sensitivities of scattering parameters.

Biography

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. His research areas of interest include optimization methods, computer-aided design and modeling of microwave circuits, neural network applications, smart analysis of microwave circuits and efficient optimization using time/frequency domain methods. He is currently working as an assistant professor with the Department of Electrical and Computer Engineering, McMaster University.