Optimization methods, computer-aided design and modeling of microwave circuits, neural networks applications, smart analysis of microwave circuits, efficient optimization using time domain simulation methods
Dr. Bakr’s research areas of interest include optimization methods, computational electromagnetics, computer-aided design and modeling of power circuits and motors, microwave circuits, THz, and photonic devices, nanotechnology, neural network applications, smart analysis of high frequency structures and efficient optimization using time/frequency domain methods.
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Mohamed H. Bakr received a B.Sc. degree in Electronics and Communications Engineering from Cairo University, Egypt in 1992 with distinction (honours). 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 project on novel designs of hybrid cars. In 2015, he was listed on the Dean’s Teaching Honour Roll.
He is currently working as professor with the Department of Electrical and Computer Engineering, McMaster University. He is the author/co-author of over 230 journal and conference papers, two books on the optimization and CAD of high frequency structures, two book chapters on optimization and electromagnetic modelling, and two patents.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES 47 (12), 2440-2449
Related Courses
3 unit(s) M. Bakr This course addresses different concepts in nonlinear optimization with a special focus on electrical applications. Starting with classical optimization approaches and single dimensional methods, we move to cover unconstrained and constrained multidimensional optimization. Both gradient-based and value-based optimization approached are covered. The course also addresses areas of research relevant to electrical engineering. These include space mapping (SM) optimization, global optimization approaches such as particle swarm optimization (PSO), and adjoint variable methods (AVM). The examples and projects mainly focus on applications relevant to electrical engineering.
3 unit(s) M. Bakr This course addresses different concepts in nonlinear optimization with a special focus on electrical applications. Starting with classical optimization approaches and single dimensional methods, we move to cover unconstrained and constrained multidimensional optimization. Both gradient-based and value-based optimization approached are covered. The course also addresses areas of research relevant to electrical engineering. These include space mapping (SM) optimization, global optimization approaches such as particle swarm optimization (PSO), and adjoint variable methods (AVM). The examples and projects mainly focus on applications relevant to electrical engineering.
Mathematical foundations of electromagnetics (selected topics of vector calculus); electrostatics, magnetostatics and conduction; introduction to time-varying fields through Faraday’s law. Three lectures, two tutorials; second term Prerequisite(s): ELECENG 2CI5 or 2CI4 and PHYSICS 1E03, registration in Electrical Engineering or the Integrated Biomedical Engineering and Health Sciences (IBEHS) Program
