computational electromagnetics

Efficient and Accurate Numerical Techniques for Sparse Electromagnetic Imaging

-

KAUST

In this thesis, efficient solutions are sought out to fundamental problems in Electromagnetic (EM) imaging that determines the shape, location, and material properties of an (unknown) object of interest in an investigation domain from the scattered field measured away from it. The solution of an EM inverse scattering problem inherently poses two main challenges: (i) non-linearity, since the scattered field is a non-linear function of the material properties and (ii) ill-posedness, since the integral operator has a smoothing effect and the number of measurements is finite in dimension and they are contaminated with noise. The non-linearity is tackled incorporating a multitude of techniques (ranging from Born approximation (linear), inexact Newton (linearized) to complete non-linear iterative Landweber schemes) that can account for weak to strong scattering problems. The ill-posedness of the EM inverse scattering problem is circumvented by formulating the above methods into a minimization problem with a sparsity constraint, which assumes that the dimension of the unknown object relative to the investigation domain is much smaller. Numerical experiments, which are carried out using synthetically generated measurements, show that the images recovered by these sparsity-regularized methods are sharper and more accurate than those produced by existing methods. The methods developed in this work have potential application areas ranging from oil/gas reservoir engineering to biological imaging where sparse domains naturally exist.

Prof. Hakan Bagci Elevated to Senior Member of IEEE

1 min read ·
Prof. Hakan Bagci has been elevated to the rank of Senior Member of IEEE. This is considered an important honor since only 8% of nearly 400,000 IEEE members are Senior Members because of their superior professional achievements.

Professor Bagci Elevated to Senior Membership Status of the International Union of Radio Science

1 min read ·
Hakan Bagci, KAUST Associate Professor of electrical engineering, was recently elevated to Senior Membership of the International Union of Radio Science (URSI) for his research achievements in the field of computational electromagnetics, and his long-standing involvement in the URSI, which includes serving on several conference technical program committees and editorial boards of journals.

Rui Chen

Postdoctoral Research Fellow, Computational Electromagnetics
Rui Chen is a Postdoctoral Research Fellow working with Professor Hakan Bagci at the Computational Electromagnetics (CEM) research group at King Abdullah University of Science and Technology (KAUST). Education Ph.D. degree, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2015-2021. M.S., Electromagnetic Field and Microwave Technology, Nanjing University of Science and Technology, Nanjing, China, 2010-2015. B.S., Communication Engineering

Muhammad Umair Khalid

Muhammad Umair Khalid obtained his Master's degree in Electrical Engineering under the supervision of Professor Atif Shamim at Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Muhammad's research interests included Integrated Antenna Design for System on Package (SoP) and System on Chip (SoC) Applications, Gain Enhancement Components for Integrated Antennas, Design of Radio Frequency Integrated Circuits (RFIC), Computational Electromagnetics. Education MBA, Strategy & Finance

Ming Dong

Education Ph.D. student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2019-present M.S., Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2017-2018 B.S., Electronic Information Science and Technology, Lanzhou University, Lanzhou, China Research Interests Computational physics (electromagnetics, semiconductor devices, multiphysics modeling) Application of TD-FEM solver and DGTD solver

Hakan Bagci

Professor Bagci is a highly accomplished researcher in the field of computational electromagnetics (CEM). His research focuses on the theoretical and applied aspects of CEM.

Doolos Aibek Uulu

Education Ph.D. Student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2017-present M.S., Material Science and Nanotechnology, Bilkent University, Ankara, Turkey, 2015-2017 B.S., Department of Physics, Middle East Technical University (METU), Ankara, Turkey, 2010-2015 Professional Appointments Research Assistant in Material Science and Nanotechnology, Bilkent University, Ankara, Turkey, 2015-2017 Research Interests Computational

Ali Imran Sandhu

Education Ph.D. Student, Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2010-present M.S., Communication Engineering, Chalmers University of Technology Sweden, Sweden, 2008-2010 B.S., Electronics Engineering, Comsats University Islamabad, Pakistan, 2003-2007 Professional Appointments Research Engineer, European Project FLEXWIN, University of Calabria, Italy, September 2011 Lecturer, Electrical Engineering Department, Comsats University Islamabad (CUI), Lahore, Pakistan, October 2007 Research Interests Computational