KAUST Master Theses from Stochastic Numerics Research Group
Overview
List of completed Master Theses
- Ons Chaabene, "Supply Chain Modeling Under Uncertainty", MS-thesis, KAUST, October 2024.
- Eya Ben Amar, "Stochastic differential equations for performance analysis of wireless communication systems", MS-thesis, KAUST, October 2023.
- Michael Samet, "Hierarchical Adaptive Quadrature and Quasi-Monte Carlo for Efficient Fourier Pricing of Multi-Asset Options", MS-thesis, KAUST, July 2023.
- Saifeddine Ben Naamia, "Data driven UQ for wind and solar production using SDE models with generalized diffusion coefficient and stochastic optimization", MS-thesis, KAUST, June 2023.
- Eliza Rezvanova, “Optimal policies for battery operation and design via stochastic optimal control of jump diffusions”, MS-Thesis, KAUST, April 2021.
- Renzo Caballero, “Stochastic Optimal Control of Renewable Energy”, MS-Thesis, KAUST, June 2019.
- Soumaya Elkantassi, "Probabilistic Forecast of Wind Power Generation by Stochastic Differential Equation Models", MS-Thesis, KAUST, April 2017.
- Chaouki Ben Issaid, "Bayesian Optimal Experimental Design Using Multilevel Monte Carlo", MS Thesis, KAUST, April 2015.
- Chiheb Ben Hammouda, "Drift-Implicit Multi-Level Monte Carlo Tau-Leap Methods for Stochastic Reaction Networks", MS Thesis, KAUST, April 2015.
- Nadhir Ben Rached, "Hybrid Adaptive Multilevel Monte Carlo Algorithm for Non-Smooth Observables of Itoˆ Stochastic Differential Equations", Master Thesis, KAUST, November 2013.
- Abdul-Lateef Haji-Ali, "Pedestrian Flow in the Mean Field Limit", MS-thesis, KAUST, November 2012.