Personal profile
Research interests
- Fluid control using artificial intelligence
- Predictive modeling using machine learning
- Generative modeling and unsupervised learning
- Data Assimilation and nonlinear filtering
- Bayesian uncertainty quantification and model comparison
Biography
- August 2021, Professor, Institute for GeoEnergy Engineering, Heriot-Watt University, Scotland
- August 2017 - July 2021, Associate Professor, Institute for GeoEnergy Engineering, Heriot-Watt University, Scotland
- August 2013 - July 2017, Assistant Professor, Institute of Petroleum Engineering, Heriot-Watt University, Scotland
- June 2012 - July 2013, Research Fellow, ICES, The University of Texas at Austin, USA
- 2010-2012, Research Associate, ESE, Imperial College London, UK
- 2007-2010, Assistant Professor, Al-Azhar Univeristy, Egypt
- 2007 Ph.D., McMaster University, Ontario, Canada
- 2002 MASc., McMaster University, Ontario, Canada
- 1999 BASc., Al-Azhar Univeristy, Cairo, Egypt
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 13 Climate Action
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Benchmark Dataset for Machine Learning Surrogates of Pore-Scale CO2-Water Interaction
Abdellatif, A., Menke, H. P., Maes, J., Elsheikh, A. H. & Doster, F., 6 Mar 2026, In: Scientific Data. 13, 621.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Downloads (Pure) -
Generation of Local Geological Structure Ahead of the Bit Using Diffusion-Based AI Models
Saleem, H., Blaser, N., Alyaev, S., Fossum, K. & ElSheikh, A. H., 21 Apr 2026, SPE Europe Subsurface Conference 2026. Society of Petroleum Engineers, SPE-231925-MSResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization
Bo, Z., Elsheikh, A. H., Menke, H. P., Maes, J., Geiger, S., Kashim, M. Z., Bakar, Z. A. A. & Singh, K., 27 Jan 2026, arXiv.Research output: Working paper › Preprint
Open AccessFile2 Downloads (Pure) -
A Deep-Learning Iterative Stacked Approach for Prediction of Reactive Dissolution in Porous Media
Cirne, M., Menke, H., Abdellatif, A., Maes, J., Doster, F. & Elsheikh, A. H., 11 Mar 2025, arXiv.Research output: Working paper › Preprint
Open AccessFile50 Downloads (Pure) -
Feature-Modulated UFNO for Improved Prediction of Multiphase Flow in Porous Media
Abdellatif, A., Menke, H. P., Doster, F., Singh, K. & Elsheikh, A. H., 25 Nov 2025, arXiv.Research output: Working paper › Preprint
Open AccessFile1 Downloads (Pure)