About Nadhir Ben Rached Nadhir Ben Rached Ph.D., Applied Mathematics and Computational Science wireless communication Monte Carlo Introduction Nadhir went to RWTH Aachen University, Aachen, Germany as a Postdoctoral Research Fellow. Education and early career Nadhir obtained his M.S and Ph.D. degree in Applied Mathematics and Computational Science, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia between 2012 - 2018. Research Interest Efficient Monte Carlo approach for rare event simulation Accurate Performance Analysis of Wireless Communication Systems Computational Finance Stochastic Differential Equations Numerical Analysis Selected Publications Graduation Project, Adaptive Monte Articles Related News August 2020 A talk by Dr. Chiheb Ben Hammouda in the Monte Carlo & Quasi-Monte Carlo (MCQMC) Methods in Scientific Computing Conference, in August 2020, University of Oxford 1 min read · Tue, Aug 11 2020 News Monte Carlo markov chains Dr. Chiheb Ben Hammouda gave, on August 11, 2020, a talk entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" in the Monte Carlo & Quasi-Monte Carlo (MCQMC) Methods in Scientific Computing Conference, 10-14 August 2020, University of Oxford. October 2018 Nadhir Ben Rached succesfully defended his PhD Thesis 2 min read · Tue, Oct 9 2018 News The probability that a sum of random variables (RVs) exceeds (respectively falls below) a given threshold, is often encountered in the performance analysis of wireless communication systems. Generally, a closed-form expression of the sum distribution does not exist and a naive Monte Carlo (MC) simulation is computationally expensive when dealing with rare events. July 2016 Faster prediction of wireless downtime 1 min read · Sat, Jul 2 2016 News applied mathematics computational science signal processing Computer science An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks. November 2013 MS-Thesis Defense: Hybrid Adaptive Multilevel Monte Carlo Algorithm for Non-Smooth Observables of It ô Stochastic Differential Equations by Nadhir Ben Rached 1 min read · Wed, Nov 27 2013 News Nadhir Ben Rached received the Diplome d’Ingénieur degree in Economics and Scientific Management from Ecole Polytechnique de Tunisie (EPT), La Marsa, Tunisia, in 2012. Currently, he is a Master's student in Applied Mathematics and Computational Science, King Abdullah University of Science and Technology (KAUST).
A talk by Dr. Chiheb Ben Hammouda in the Monte Carlo & Quasi-Monte Carlo (MCQMC) Methods in Scientific Computing Conference, in August 2020, University of Oxford 1 min read · Tue, Aug 11 2020 News Monte Carlo markov chains Dr. Chiheb Ben Hammouda gave, on August 11, 2020, a talk entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" in the Monte Carlo & Quasi-Monte Carlo (MCQMC) Methods in Scientific Computing Conference, 10-14 August 2020, University of Oxford.
Nadhir Ben Rached succesfully defended his PhD Thesis 2 min read · Tue, Oct 9 2018 News The probability that a sum of random variables (RVs) exceeds (respectively falls below) a given threshold, is often encountered in the performance analysis of wireless communication systems. Generally, a closed-form expression of the sum distribution does not exist and a naive Monte Carlo (MC) simulation is computationally expensive when dealing with rare events.
Faster prediction of wireless downtime 1 min read · Sat, Jul 2 2016 News applied mathematics computational science signal processing Computer science An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks.
MS-Thesis Defense: Hybrid Adaptive Multilevel Monte Carlo Algorithm for Non-Smooth Observables of It ô Stochastic Differential Equations by Nadhir Ben Rached 1 min read · Wed, Nov 27 2013 News Nadhir Ben Rached received the Diplome d’Ingénieur degree in Economics and Scientific Management from Ecole Polytechnique de Tunisie (EPT), La Marsa, Tunisia, in 2012. Currently, he is a Master's student in Applied Mathematics and Computational Science, King Abdullah University of Science and Technology (KAUST).
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