People

Zaid Sawlan

Postdoctoral Fellows
Postdoctoral Fellow
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Research Interests

  • Model calibration and Bayesian model comparison for fatigue data.
  • Bayesian inference in linear parabolic PDEs with noisy boundary conditions.
  • History matching using ensemble Kalman filters.

Selected Publications

Education

  • Ph.D. in Applied Mathematics and Computational Science, King Abdullah University of Science & Technology, Saudi Arabia (2018).
  • MS in Applied Mathematics and Computational Science, King Abdullah University of Science & Technology, Saudi Arabia (2012).
  • Bachelor of Science, Mathematics, King Saud University, Saudi Arabia (2010).

Professional Profile

  • Consultant at ARAMCO.​
  • Teaching Assistant at KAUST (Bayesian Statistics).
  • Visiting researcher at ICES, The University of Texas at Austin.​
  • Research Intern at ARAMCO.
  • Teaching Assistant at KAUST (Stochastic Methods in Engineering).
  • Scientific and Professional Memberships

    • ​​​Society for Industrial and Applied Mathematics (SIAM)
    • Society of Petroleum Engineers (SPE)​

    Awards

    • 2008-2010 KAUST Discovery Scholarship, King Saud University, Saudi Arabia.
    • 2010- KAUST Fellowship, King Abdullah University of Science & Technology, Saudi Arabia.
    • 2010 KAUST Provost Award, King Abdullah University of Science & Technology, Saudi Arabia.