Welcome to my personal webpage

About Me

I am an Associate Professor of Geophysics at King Fahd University of Petroleum and Minerals (KFUPM), where I lead the Smart Earth Exploration and Monitoring (SEEM) research group. My research lies at the crossroads of geoscience, applied mathematics, and machine learning. I seek multidisciplinary collaborations in developing solutions to challenging geoscientific problems that allow a better understanding of the subsurface processes to ensure a sustainable, reliable, and affordable energy future for our planet.

Note: I have openings for graduate students and postdocs in my group. If you have a passion for innovation and research, and if you are interested in opportunities arising at the intersection of applied geoscience and machine learning, please get in touch.ociate

Education

Ph.D., Earth Science & Engineering, KAUST, 2015

M.S., Electronic Engg., Politenico di Torino, 2010

B.E., Electronic Engg. NED University of Engg. & Technology, 2008

Research Interests

Geophysical modeling

Inverse Problems

Induced seismicity

Physics-informed machine learning

Applied deep learning

Research Themes

SciML for geophysical modeling and inversion

Our ability to identify subsurface resources and use them in an environmentally friendly manner relies on the accuracy of geophysical imaging. Using advances in the field of scientific machine learning, I develop geophysical modeling and inversion algorithms focusing on improving their robustness, resolution, and accuracy.

Understanding and mitigating induced seismicity risk

Many industrial activities needed to sustain human society have the potential to induce earthquakes. I seek a better understanding of the subsurface processes in reservoirs leading to induced seismicity and manage the risk it poses by developing tools that enable real-time microseismic monitoring.

Machine learning for multidisciplinary geosciences

Extracting maximum value from geoscientific data requires novel approaches for combining data-driven methods, physical modeling, and algorithms capable of learning from limited, weak, or biased data. I collaborate with geoscientists from different sub-disciplines to address challenging geoscientific problems that are cross-cutting in nature, using advanced machine learning algorithms.

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