S

College / Department

College of Engineering
Department of Electrical Engineering

Teaching areas

Electric Circuits, Electromagnetics, Microwave Engineering, Design of RF and Wireless Devices, Computational/Numerical Methods

Research areas

Microwave Imaging, Biomedical Imaging, Computational Electromagnetics, Optimization Algorithms

Education

BSc, American University of Sharjah, Sharjah United Arab Emirates, 2005
MSc, Technische Universitat Munchen (Munich University of Technology), Munich, Bavaria, Germany, 2007
PhD, University of Manitoba, Winnipeg, Manitoba Canada, 2012

Professional experience

Post-doctoral Fellow, University of Manitoba, Winnipeg, Manitoba, Canada, 2012-2014
Instructor, University of Manitoba, Winnipeg, Manitoba, Canada, 2013-2014
Research Assistant, University of Manitoba, Winnipeg, Manitoba, Canada, 2007-2012
Teaching Assistant, University of Manitoba, Winnipeg, Manitoba, Canada, 2008-2011
RF Test and Verification Engineer, Infineon Technologies AG, Munich, Bavaria, Germany, 2006-2007

Memberships

Institute of Electrical and Electronics Engineers (IEEE),The Association of Professional Engineers and Geoscientists of the Province of Manitoba (APEGM)

Contact

aszakaria@aus.edu
+971 6 515 4936

Dr. Amer Zakaria

Assistant Professor
PhD in Electrical Engineering, University of Manitoba, Canada

Amer S. Zakaria is a registered Professional Engineer with the Association of Professional Engineers and Geoscientists of Manitoba, Canada. He was a post-doctoral fellow with the Electromagnetic Imaging Laboratory at the University of Manitoba, where he also taught courses in the Electrical and Computer Engineering Department. Dr. Zakaria also worked as an RF test and verification engineer at Infineon Technologies AG in Munich, Germany. His research interests include inverse problems, optimization algorithms, computational electromagnetics and the development of microwave imaging (MWI) systems.

Publications

Anastasia Baran, Doug Kurrant, Amer Zakaria, Elise Fear and Joe LoVetri, “Breast Imaging Using Microwave Tomography with Radar-Based Tissue-Regions Estimation,” Progress in Electromagnetic Research, Manuscript ID: 14080606. Accepted, Sept. 2014.
Mohammad Asefi, Majid Ostadrahimi, Amer Zakaria, and Joe LoVetri, “A Three-Dimensional Dual-Polarized Near-field Microwave Imaging System,” IEEE Microwave Theory and Techniques Transactions, vol. 62, no. 8, pp. 1790-1797, 2014.
Amer Zakaria, Ian Jeffrey and Joe LoVetri, “Full-Vectorial Parallel FEM-CSI,” Progress in Electromagnetic Research, vol. 142, pp. 463-483, 2013.
Majid Ostadrahimi, Puyan Mojabi, Amer Zakaria, Joe LoVetri and Lotfollah Shafai,“Enhancement of Gauss-Newton Inversion Method for Biological Tissue Imaging,” IEEE Transactions on Microwave Theory and Techniques, vol. 61, no. 9, pp. 3424-3434, 2013.
Colin Gilmore, Amer Zakaria, Stephen Pistorius and Joe LoVetri, “Microwave Imaging of Human Forearms: Pilot Study and Image Enhancement,” International Journal of Biomedical Engineering, vol. 2013, Article ID 673027, 17 pages, 2013.
Amer Zakaria, Anastasia Baran and Joe LoVetri,“Estimation and Use of Prior Information in FEM-CSI for Biomedical Microwave Tomography,” IEEE Antenna and Wireless Propagation Letters, vol. 11, pp. 1606-1609, 2012.
Majid Ostadrahimi, Amer Zakaria, Joe LoVetri and Lotfollah Shafai,“A Near-field Dual Polarized (TE-TM) Microwave Imaging System,” IEEE Transactions on Microwave Theory and Techniques, vol. 61, no. 3, pp. 1376-1384, 2013.
Colin Gilmore, Amer Zakaria, Stephen Pistorius and Joe LoVetri,“A Study of Matching Fluid Loss in Biomedical Microwave Tomography System,” AAPM Medical Physics, vol. 40, no. 2, 2013.
Amer Zakaria and Joe LoVetri,“The Finite-Element Method Contrast Source Inversion Algorithm for 2D Transverse Electric Vectorial Problems,” IEEE Transactions on Antennas and Propagation, vol. 60, no. 10, pp. 4757-4765, 2012.
Colin Gilmore, Amer Zakaria, Puyan Mojabi, Majid Ostadrahimi, Stephen Pistorius and Joe LoVetri,“The University of Manitoba Imaging Repository: A 2D Microwave Scattering Database for Testing Inversion and Calibration Algorithms,” IEEE Antennas and Propagation Magazine, vol. 35, no. 5, pp. 126-133, 2011.
Amer Zakaria and Joe LoVetri, “Application of Multiplicative Regularization to the Finite-Element Contrast Source Inversion Method,” IEEE Transactions on Antennas and Propagation, vol. 59, no. 9, pp. 3495-3498, 2011.
Majid Ostadrahimi, Puyan Mojabi, Colin Gilmore, Amer Zakaria, Sima Noghanian, Stephen Pistorius and Joe LoVetri,“Analysis of Incident Field Modeling and Incident/Scattered Field Calibration Techniques inMicrowave Tomography,” IEEE Antennas andWireless Propagation Letters, vol. 10, pp. 900-903, 2010.
Amer Zakaria, Colin Gilmore and Joe LoVetri, “Finite-Element Contrast Source Inversion Method for Microwave Imaging,” Inverse Problems, vol. 26, no. 11, pp. 1-21, 2010.
Colin Gilmore, Puyan Mojabi, Amer Zakaria, Stephen Pistorius and Joe LoVetri, “On Super- Resolution with an Experimental Microwave Tomography System,” IEEE Antennas and Wireless Propagation Letters, vol. 9, pp. 393-396, 2010.
Colin Gilmore, Puyan Mojabi, Amer Zakaria, Majid Ostadrahimi, Cam Kaye, Sima Noghanian, Lotfollah Shafai, Stephen Pistorius and Joe LoVetri, “A Wideband Microwave Tomography System with a Novel Frequency Selection Procedure,” IEEE Transactions on Biomedical Engineering, vol. 57, no. 4, pp. 894-904, 2010.
Majid Ostadrahimi, Sima Noghanian, Lotfollah Shafai, Amer Zakaria, Cameron Kaye and Joe LoVetri, “Investigating a Double Layer Vivaldi Antenna Design for Fixed Array Field Measurement,” International Journal of Ultra Wideband Communications and Systems, vol. 1, no. 4, pp. 282-290, 2010.

Other creative/research

Book Chapter: Amer Zakaria, Joe LoVetri, Puyan Mojabi and Colin Gilmore, “Evaluation of Imaging Algorithms for Prototype Microwave Tomography Systems,” Ultra-Wideband, Short-Pulse Electromagnetics 10, Springer Science+Business Media, Editor: Frank Sabbath, vol. 10, pp. 483-491, 2014.

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