In a remarkable display of academic excellence, On November 10, 2024, Ons Chaabene successfully defended her Msc. thesis entitled “ Supply Chain Modeling Under Uncertainty”.
Committee Chairperson:
Prof. Raúl Tempone, AMCS, KAUST
In October 2024, student Maksim Chupin joined KAUST through the Stochastic Numerics Research Group, where he will pursue his Ph.D. studies under Prof. Raul Tempone's supervision.
StochNum Team wishes an excellent experience for Maksim!
During the summer of 2024, between his Bachelor's and Master's studies at Imperial College London, Wadoud Charbak visited the Stochastic Numerics Research Group through The Visiting Research Student Program (VRSP).
Eya ben Amar recently attended the 16th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC), held at the University of Waterloo, Canada, from August 18 to 23, 2024.
The King Abdullah University of Science and Technology (KAUST) recently hosted a young and enthusiastic Master’s student from Luxembourg, who participated in the yearly SNSL-workshop (Stochastic N
Eya ben Amar had the opportunity of participating as a teaching assistant in a short course on Numerical Optimization at the Ministry of Interior in Riyadh.
We are delighted to announce the successful completion of the Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024, held at KAUST from May 19 to May 31. This event brought together leading experts, researchers, and students to explore the latest advancements and applications in stochastic numerics.
On May 15, 2024, Gaukhar Shaimerdenova successfully defended her Ph.D.
We are excited to announce the upcoming Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024, taking place from May 19-30, 2024.
We are proud to announce a significant achievement by our research team: the acceptance of our paper, "Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization," in the prestigious journal Optimization Methods and Software.
In February 2024, student Leon Wilkosz joined KAUST through the Stochastic Numerics Research Group, where he will pursue his Ph.D. studies under Prof. Raul Tempone's supervision.
StochNum Team wishes an excellent experience for Leon!
With immense pride, I dedicate this notable achievement to my cherished family, close friends, esteemed research collaborators, and the instructors from my past, al
Uncertainty Quantification (UQ) emerges as a guiding force in the turbulent sea of data-driven domains, from energy to health. This talk presents a methodology that harnesses UQ for robust renewable energy forecasting, employing a stochastic differential equation model that sails beyond the challenges of wind and solar predictability.
Eya Ben Amar recently participated in the KAUST 2023 commencement ceremony, marking a significant achievement as a Master's graduate in the Computer, Electrical, and Mathematical Sciences and Engineering Division.