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Engineering and Technology

D-Index
45
Citations
8826
World Ranking
5425
National Ranking
1521

Overview

Aria Abubakar is affiliated with Schlumberger in the United States and has a significant presence in the fields of Engineering and Earth and Planetary Sciences. Their research spans multiple subfields, notably Ocean Engineering, Geophysics, Biomedical Engineering, Mechanics of Materials, and Electrical and Electronic Engineering.

The scientist's work focuses extensively on areas including Seismic Imaging and Inversion Techniques, Microwave Imaging and Scattering Analysis, Drilling and Well Engineering, Reservoir Engineering and Simulation Methods, Geophysical Methods and Applications, Hydraulic Fracturing and Reservoir Analysis, and Geophysical and Geoelectrical Methods.

Aria Abubakar's publication record includes contributions to several key venues in the geoscience and engineering communities. Frequent publication venues include:

  • Geophysics
  • The Leading Edge
  • Second International Meeting for Applied Geoscience & Energy
  • IEEE Transactions on Antennas and Propagation
  • SPE Annual Technical Conference and Exhibition

Recent papers authored or co-authored by Aria Abubakar highlight a focus on seismic and electromagnetic imaging techniques and deep learning applications. Notable recent publications include:

  • Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow, 2020, Geophysics
  • Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review, 2021, IEEE Antennas and Propagation Magazine
  • Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep Learning Constraint, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • A Supervised Descent Learning Technique for Solving Directional Electromagnetic Logging-While-Drilling Inverse Problems, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Physics Embedded Deep Neural Network for Solving Full-Wave Inverse Scattering Problems, 2021, IEEE Transactions on Antennas and Propagation

Their collaborative network includes frequent co-authors such as Maokun Li, Shenheng Xu, Fan Yang, Haibin Di, and Rui Guo, reflecting a multidisciplinary approach to research and a depth of cooperation within related scientific disciplines.

Best Publications

  • Imaging of biomedical data using a multiplicative regularized contrast source inversion method

    A. Abubakar;P.M. van den Berg;J.J. Mallorqui

  • 2.5D forward and inverse modeling for interpreting low-frequency electromagnetic measurements

    A. Abubakar;T. M. Habashy;V. L. Druskin;L. Knizhnerman

  • Contrast Source Inversion Method: State of Art

    P. M. van den Berg;A. Abubakar

  • Extended contrast source inversion

    P M van den Berg;A L van Broekhoven;A Abubakar

  • A General Framework for Constraint Minimization for the Inversion of Electromagnetic Measurements

    Tarek M. Habashy;Aria Abubakar

  • Microwave-tomographic imaging of the high dielectric-contrast objects using different image-reconstruction approaches

    S.Y. Semenov;A.E. Bulyshev;A. Abubakar;V.G. Posukh

  • Joint electromagnetic and seismic inversion using structural constraints

    Wenyi Hu;Aria Abubakar;Tarek M. Habashy

  • Iterative forward and inverse algorithms based on domain integral equations for three-dimensional electric and magnetic objects

    Aria Abubakar;Peter M. van den Berg

  • Simultaneous multifrequency inversion of full-waveform seismic data

    Wenyi Hu;Aria Abubakar;Tarek M. Habashy

  • Multiplicative regularization for contrast profile inversion

    Peter M. van den Berg;Aria Abubakar;Jacob T. Fokkema

  • A finite-difference contrast source inversion method

    A. Abubakar;W. Hu;P.M. Van Den Berg;T.M. Habashy

  • The contrast source inversion method for location and shape reconstructions

    Aria Abubakar;Peter M van den Berg

  • Joint petrophysical inversion of electromagnetic and full-waveform seismic data

    Guozhong Gao;Aria Abubakar;Tarek M. Habashy

  • Inversion algorithms for large-scale geophysical electromagnetic measurements

    A. Abubakar;T. M. Habashy;M. Li;J. Liu

  • Microwave Biomedical Data Inversion Using the Finite-Difference Contrast Source Inversion Method

    C. Gilmore;A. Abubakar;Wenyi Hu;T.M. Habashy

  • Joint inversion approaches for geophysical electromagnetic and elastic full-waveform data

    A Abubakar;G Gao;T M Habashy;J Liu

  • Supervised Descent Learning Technique for 2-D Microwave Imaging

    Rui Guo;Xiaoqian Song;Maokun Li;Fan Yang

  • TWO- AND THREE-DIMENSIONAL ALGORITHMS FOR MICROWAVE IMAGING AND INVERSE SCATTERING

    A. Abubakar;P. M. van den Berg;S. Y. Semenov

  • Inversion of experimental multi-frequency data using the contrast source inversion method

    Richard F Bloemenkamp;Aria Abubakar;Peter M van den Berg

  • A contrast source inversion method in the wavelet domain

    Maokun Li;Oğuz Semerci;Aria Abubakar

  • Application of the nearly perfectly matched layer in acoustic wave modeling

    Wenyi Hu;Aria Abubakar;Tarek M. Habashy

Frequent Co-Authors

Maokun Li
Maokun Li Tsinghua University
Vladimir Druskin
Vladimir Druskin Worcester Polytechnic Institute
Fan Yang
Fan Yang Tsinghua University
Shenheng Xu
Shenheng Xu Tsinghua University
Andrea Massa
Andrea Massa University of Trento
Jordi J. Mallorqui
Jordi J. Mallorqui Universitat Politècnica de Catalunya
Dimitri Komatitsch
Dimitri Komatitsch Aix-Marseille University
Joe LoVetri
Joe LoVetri University of Manitoba
Carlos Torres-Verdín
Carlos Torres-Verdín The University of Texas at Austin
Leung Tsang
Leung Tsang University of Michigan–Ann Arbor

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