Ahmad Kadoura

PhD Candidate


Research Interests

● Coupling MC molecular simulation with flow simulators in porous media

● Using MC and MD in modeling shale gas sorption and transport processes

Selected Publications

  • Sun S. and Salama A. Accelerating Monte Carlo Molecular Simulations by Reweighting and Reconstructing Markov Chains: Extrapolation of Canonical Ensemble Averages and Second Derivatives to Different Temperature and Density Conditions. Journal of Computational Physics, 270, 70-85, 2014.
  • Kadoura A. Salama A. and Sun S. A Conservative and a Hybrid Early Rejection Schemes for Accelerating Monte Carlo Molecular Simulation. Molecular Physics, in press, 2014.
  • El Gharamti M. Kadoura A. Valstar J. Sun S. and Hoteit I. Constraining a Compositional Flow Model with Flow-Chemical Data using an Ensemble-Based Kalman Filter. Water Resources Research, 50, 2444–2467, 2014.


  • PhD, 2011-Current
    Earth Sciences and Engnieering
    King Abdullah University of Science and Technology (KAUST), Thuwal, KSA
  • MS, 2009-2011
    Chemical Engineering
    King Abdullah University of Science and Technology (KAUST), Thuwal, KSA
  • BS, 2005-2009
    Petroleum and Natural Gas Engineering
    Middle East Technical University (METU), Ankara, Turkey

Scientific and Professional Membership

  • Active member and served as student chapter president in 2012 at Society of Petroleum Engineers (SPE)


Academic Excellence Award at KAUST, Earth Sciences and Engineering 

Academic Excellence Award at KAUST, Chemical and Biological Engineering

KAUST Affiliations

Earth Sciences and Engineering (ErSE)

Computational Transport Phenomena Laboratory (CTPL)

Research Interests Keywords

Molecular Monte Carlo Solubility of sulfur modeling