| Bayesian inference and model comparison for metallic fatigue data I Babuska, Z Sawlan, M Scavino, B Szabó, R Tempone Computer Methods in Applied Mechanics and Engineering 304, 171-196, 2016 | 66 | 2016 |
| Bayesian inferences of the thermal properties of a wall using temperature and heat flux measurements M Iglesias, Z Sawlan, M Scavino, R Tempone, C Wood International Journal of Heat and Mass Transfer 116, 417-431, 2017 | 25 | 2017 |
| Spatial Poisson processes for fatigue crack initiation I Babuska, Z Sawlan, M Scavino, B Szabó, R Tempone Computer Methods in Applied Mechanics and Engineering, 2018 | 13 | 2018 |
| A hierarchical Bayesian setting for an inverse problem in linear parabolic PDEs with noisy boundary conditions F Ruggeri, Z Sawlan, M Scavino, R Tempone Bayesian Analysis 12 (2), 407-433, 2017 | 13 | 2017 |
| Ensemble-marginalized Kalman filter for linear time-dependent PDEs with noisy boundary conditions: application to heat transfer in building walls M Iglesias, Z Sawlan, M Scavino, R Tempone, C Wood Inverse Problems 34 (7), 075008, 2018 | 7 | 2018 |
| Estimation of Temperature-Dependent Thermal Conductivity and Heat Capacity Given Boundary Data A Sharahy, Z Sawlan Computation 11 (9), 184, 2023 | 1 | 2023 |
| Modeling Metallic Fatigue Data Using the Birnbaum–Saunders Distribution Z Sawlan, M Scavino, R Tempone Metals 14 (5), 508, 2024 | | 2024 |
| Uncertainty Quantification and Management in Model Calibration and History Matching with Ensemble Kalman Methods AA Al-Turki, KJ Hammad, SB Sudirman, ZN Sawlan International Petroleum Technology Conference, D011S001R007, 2024 | | 2024 |
| Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process A Nasir, S Mekid, Z Sawlan, O Alsawafy arXiv preprint arXiv:2402.00042, 2024 | | 2024 |
| Hybrid Random Projection: Integrating Dense and Sparse Techniques for Enhanced Representation in High-Dimensional Data Y Yahaya, JO Ajadi, RA Sanusi, Z Sawlan, N Adegoke | | 2024 |
| Statistical analysis and Bayesian methods for fatigue life prediction and inverse problems in linear time dependent PDEs with uncertainties ZA Sawlan | | 2018 |
| Bayesian inference of the heat transfer properties of a wall using experimental data M Iglesias, ZA Sawlan, M Scavino, R Tempone, C Wood | | 2016 |
| Bayesian Inference for Linear Parabolic PDEs with Noisy Boundary Conditions ZA Sawlan | | 2016 |
| Inferencia Bayesiana para el análisis estadístico de datos de fatiga de materiales metálicos I Babuska, Z Sawlan, M Scavino, B Szabo, R Tempone Serie DT (16/01);, 2016 | | 2016 |
| Bayesian Inference for Linear Parabolic PDEs with Noisy Boundary Conditions F Ruggeri, ZA Sawlan, M Scavino, R Tempone | | 2015 |
| A Bayesian setting for an inverse problem in heat transfer F Ruggeri, ZA Sawlan, M Scavino, R Tempone | | 2014 |
| Tsunami Prediction and Earthquake Parameters Estimation in the Red Sea ZA Sawlan King Abdullah University of Science and Technology, 2012 | | 2012 |
Raul TemponeProfessor of Applied Mathematics, Alexander von Humboldt Professor RWTH-Aachen & KAUST在 kaust.edu.sa 的电子邮件经过验证
