About Myself

I am an Assistant Professor at King Abdullah University of Science and Technology (KAUST) in the Earth Science and Engineering program, part of the Physical Science and Engineering division. I lead the Deep Imaging Group, I am a member of the Extreme Computing Research Center, and together with my colleague Professor Tariq Alkalifah I lead the DeepWave consortium.

Previously, I worked in Equinor, both as research scientist and reservoir geophysicist. During my time in industry I contributed to the development of geophysical technologies aimed at identifying new discoveries as well as increasing hydrocarbon recovery of existing reservoirs. I have also been involved in the development of several open-source software packages to ease the use of geophysical data and improve reproducibility in the area of inverse problems.

I earned a PhD in Geophysics from the University of Edinburgh as part of the Edinburgh Interferomety Project under the supervision of Prof. Andrew Curtis. My research contributions spanned across the fields of seismic processing, imaging, and inversion through the development of novel methods aimed at using high-order reverberations to improve the quality and resolution of subsurface imaging products.

My Research

Waves: forward and inverse

New fundamental theoretical models and inversion methods.

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HPC for geoscience

HPC-oriented seismic processing and imaging applications.

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Deep Learning in geoscience

Neural network enhanced geophysical inversion algorithms.

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From theory to field

New acquisition systems and tailored processing flows.

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My Software

Software Is Eating the World. I am proud to be involved in the development of a variety of open-source projects that enable domain experts to solve large-scale inverse problems from the confort of their laptops all the way to the largest supercomputers in the world.

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My Teaching

Awards and Community

Opportunities

The Deep Imaging Group is constantly looking for highly motivated Ph.D. candidates, Postdoctoral fellows, and Visiting researchers with expertise in one or more of the following areas:

  • Computational geophysics
  • Inverse problems
  • Seismic imaging and parameter inversion
  • Seismic processing
  • Machine learning
  • High-performance computing
  • Scientific software development
Here are some of the research topics that you will be able to contribute to:
  • Geophysical imaging and model parameter inversion
  • Applications of deep learning to physics-driven inverse problems
  • Large-scale inverse problems using HPC
If you find any of these topics exciting and would like to participate in the development of these new theories and algorithms, send me an email!

By joining our group, you will be part of a vibrant community of computational and experimental geoscientists in the Physical Science and Engineering division. As part of your Ph.D. programme you will get the opportunity to take classes from world-renowned professors, and you will have access to our new supercomputer, Shaheen III.

Through my wide network of academic and industry connections, you will also be able to spend some of your time in other institutions and/or take on summer interships in other parts of the world. Finally, you will learn a great deal of scientific software development and contribute to the development of open-source tools such PyLops, and create new ones. Be prepared to use Python, C/C++, and CUDA - but do not be discouraged to apply if you are not familar with them, yet!

More details about our graduate program can be found here.