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Personal profile

Research interests

  • Parameter estimation for subsurface flow problems
  • Data Assimilation and nonlinear filtering
  • Bayesian uncertainty quantification and model comparison
  • A posteriori error estimation
  • Mesh generation and mesh adaptivity
  • Carbon Capture and Sequestration

Biography

  • August 2017, Associate Professor, Institute of Petroleum 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

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Research Output

A machine learning based hybrid Multi-Fidelity Multi-Level Monte Carlo method for uncertainty quantification

Kani Jabarullah Khan, N. & Elsheikh, A. H., 27 Aug 2019, In : Frontiers in Environmental Science. 7, 105.

Research output: Contribution to journalArticle

Open Access
File
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    Open Access
    File
  • 3 Downloads (Pure)

    Hydrogeophysical parameter estimation using iterative ensemble smoothing and approximate forward solvers

    Köpke, C., Elsheikh, A. H. & Irving, J., 20 Mar 2019, In : Frontiers in Environmental Science. 7, 34.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 29 Downloads (Pure)

    Identifiability of model discrepancy parameters in history matching

    Rammay, M. H., Elsheikh, A. H. & Chen, Y., 10 Apr 2019, SPE Reservoir Simulation Conference 2019. Society of Petroleum Engineers , SPE-193838-MS

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Parametric generation of conditional geological realizations using generative neural networks

    Chan, S. & Elsheikh, A. H., Oct 2019, In : Computational Geosciences. 23, 5, p. 925-952 28 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 30 Downloads (Pure)