Zaid Sawlan
zaid.sawlan^+kaust.edu.sa
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
- Fabrizio Ruggeri, Zaid Sawlan, Marco Scavino, Raul Tempone, A hierarchical Bayesian setting for an inverse problem in linear parabolic PDEs with noisy boundary conditions, submitted, 2015
- I. Babuska, Z. Sawlan, M. Scavino, B. Szabo, R. Tempone, Bayesian inference and model comparison for metallic fatigue data, Accepted for publication in Computer Methods in Applied Mechanics and Engineering, Feb. 2016
Education Profile
- 2006-2010 Bachelor of Science, Mathematics, King Saud University, Saudi Arabia.
- 2010-2012 Master of Science, Applied Mathematics, King Abdullah University of Science & Technology, Saudi Arabia.
Professional Profile
- Teaching Assistant at KAUST (Stochastic Methods in Engineering).
- Research Intern at ARAMCO (summer 2014).
Awards
- 2008-2010 KAUST Discovery Scholarship, King Saud University, Saudi Arabia.
- 2010- KAUST Fellowship, King Abdullah University of Science & Technology, Saudi Arabia.