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<> computational electromagnetics (16)

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.

Sebastian Celis Sierra

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, 2020-present M.S., Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2018-2020 B.S., Electrical Engineering (Power Engineering), Universidad de los Andes, Bogota, Colombia, 2014-2018 B.S., Electronics Engineering, Universidad de los Andes, Bogota, Colombia, 2014-2018 Research Interests Computational electromagnetics

Ruitao Sun

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, 2021-present M.S., Material Engineering, Shanghai Jiao Tong University, Shanghai, China, 2018-2021 B.S., Mechanical Manufacture and Automation, Central South University, Changsha, China, 2014-2018 Research Interests Computational electromagnetics Dissemination Google Scholar ORCID

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

Ran Zhao

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D. in Electromagnetic Field and Microwave Technology, University of Electronic Science and Technology of China, Chengdu, China, 2011-2016 B.S. in Electronic Engineering, Anhui University, Hefei, China, 2007-2011 Professional Appointments Postdoctoral Research Fellow in 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 Assistant professor in the school of Electronic and Information Engineering, Anhui University, Hefei

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

Meruyert Khamitova

Education M.S. 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, 2020-present B.S., Electrical and Computer Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan, 2015-2020 Research Interests Computational electromagnetics Dissemination Google Scholar ORCID

Mehmet Burak Ozakin

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D., Department of Electronic Engineering, Gebze Technical University, Kocaeli, Turkey, 2017 M.S., Department of Electronic Engineering, Gebze Technical University, Kocaeli, Turkey, 2011 B.S., Department of Electronic Engineering, Gebze Technical University, Kocaeli, Turkey, 2009 Professional Appointments Postdoctoral Research Fellow in 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 Research Assistant in Department

Lingqi Gao

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, 2022-present M.S., Applied Geophysics, College of geoexploration Science and Technology, Jilin University, Changchun, China, 2019-2022 B.S., Applied Geophysics, College of geoexploration Science and Technology, Jilin university, Changchun, China, 2015-2019 Research Interests Computational electromagnetics Inverse problems in electromagnetics Dissemination Google Scholar

Junze Shao

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, 2023-present M.S., Electronic Science and Technology , University of Electronic Science and Technology of China ( UESTC ), Chengdu , Sichuan, China , 20 20 -20 23 B.S., Electronic Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China, 2016-2020 Research Interests Computational electromagnetics Dissemination

Kaikun Niu

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D., Electromagnetic field and microwave technology, School of electronics and information engineering, Anhui University, Hefei, China, 2019 B.S., Engineering in electronics and information engineering, School of electronics and Information engineering, Anhui University, Hefei, China, 2014 Professional Appointments Postdoctoral Research Fellow in 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, 2019-2020 Visiting Student in

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
<> machine learning (11)

Hayssam Dahrouj

Senior Research Scientist at KAUST (King Abdullah University of Science and Technology)

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Muhammad Esmat

Visiting student at, King Abdullah University of Science and Technology (KAUST).

Ebrahim Al-Safadi

Intern, Information Science Lab at King Abdullah University of Science and Technology (KAUST),

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Abdulkarem Badiea Alshaibani

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).
<> deep learning (6) <> electromagnetics (5)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

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B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Sadeed Bin Sayed

Sadeed Bin Sayed is a Ph.D. candidate in Electrical engineering at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Hakan Bagci. He received his B.Tech. degree in electronics and communication engineering from the National Institute of Technology Calicut, Calicut, India, in 2004, and the M.Tech. degree in communications engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2007. From July 2007 to May 2008, he worked as a Member with Technical Staff Digibee Microsystems, Bangalore, India. In May 2008, he joined as an

Noha AlHarthi

Noha Al-Harthi received her PhD in Computer Science and was a member of KAUST's Extreme Computing Research Center and CEML. Her doctoral dissertation was conducted under the supervision of Professor David Keyes and Professor Hakan Bagci in the field of high-performance computing for wave propagation. Education Ph.D., Computer Science, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2012-2019. M.S, Computer Science, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2011-2012. B.S., Information System, Effat University, Jeddah

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and

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.
<> artificial intelligence (4) <> Computer Vision (4) <> inverse scattering (4)

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.

Sadeed Bin Sayed

Sadeed Bin Sayed is a Ph.D. candidate in Electrical engineering at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Hakan Bagci. He received his B.Tech. degree in electronics and communication engineering from the National Institute of Technology Calicut, Calicut, India, in 2004, and the M.Tech. degree in communications engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2007. From July 2007 to May 2008, he worked as a Member with Technical Staff Digibee Microsystems, Bangalore, India. In May 2008, he joined as an

Lingqi Gao

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, 2022-present M.S., Applied Geophysics, College of geoexploration Science and Technology, Jilin University, Changchun, China, 2019-2022 B.S., Applied Geophysics, College of geoexploration Science and Technology, Jilin university, Changchun, China, 2015-2019 Research Interests Computational electromagnetics Inverse problems in electromagnetics Dissemination Google Scholar

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
<> Signal processing (4) <> AI (3) <> computational physics (3)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

-

B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

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

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
<> integral equations (3)

Sadeed B. Sayed and Ismail E. Uysal ranked in the student paper competition at the ACES Conference

1 min read ·
Ph.D. students Sadeed B. Sayed and Ismail E. Uysal working in the Computational Electromagnetics Group led by Prof. Hakan Bagci ranked 3rd and 5th in the student paper competition at the 30th International Conference

Sadeed Bin Sayed

Sadeed Bin Sayed is a Ph.D. candidate in Electrical engineering at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Hakan Bagci. He received his B.Tech. degree in electronics and communication engineering from the National Institute of Technology Calicut, Calicut, India, in 2004, and the M.Tech. degree in communications engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2007. From July 2007 to May 2008, he worked as a Member with Technical Staff Digibee Microsystems, Bangalore, India. In May 2008, he joined as an

Ran Zhao

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D. in Electromagnetic Field and Microwave Technology, University of Electronic Science and Technology of China, Chengdu, China, 2011-2016 B.S. in Electronic Engineering, Anhui University, Hefei, China, 2007-2011 Professional Appointments Postdoctoral Research Fellow in 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 Assistant professor in the school of Electronic and Information Engineering, Anhui University, Hefei
<> MATLAB (3) <> numerical analysis (3) <> optics (3) <> AI4Science (2) <> electrical engineering (2) <> electronic transport (2)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

-

B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
<> healthcare (2) <> High Performance Computing (2) <> IoT (2) <> Localization (2) <> nanostructures (2)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

-

B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
<> Network Design (2) <> Nonlinear Optics (2) <> photoconductive antennas (2)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

-

B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
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