Abstract
I will provide a quick glance into the research of my group, giving particular emphasis on the activities of my KAUST students. This will hopefully give a connection between our research and our educational activities. For the sake of time, I will mainly concentrate on recently developed Multilevel Monte Carlo Methods for the following mathematical models: Partial Differential Equations with random inputs, Ito Stochastic Differential Equations, and Pure Jump Processes.
Brief Biography
R. Tempone received his Ph.D. in Numerical Analysis at the Royal Institute of Technology in Stockholm, Sweden in 2002. He has been an Associate Professor with KAUST since 2009 and the Director of the Strategic Research Initiative Center for Uncertainty Quantification since April 2012. Before that, he was an Assistant Professor with Mathematics and Scientific Computing at Florida State University, Tallahassee, from 2005 until 2009. From 2003 until 2005 he was an ICES Postdoctoral Fellow at the University of Texas, Austin. He is currently an associate editor for the following journals: SIAM Scientific Computing, BIT Numerical and Mathematics, and Computers & Mathematics with Applications.
He is interested in the numerical implementation and analysis of adaptive approximations for deterministic and stochastic differential equations. These include, among others, sampling methods like Monte Carlo and Multilevel Monte Carlo and sparse approximations like Stochastic Collocation and Stochastic Galerkin. He is also interested in Multiscale and Mean Field approximation for prediction and inference, Experimental Design, and Model Validation.
Refreshments: Pizza and Soft Drinks available @ 11:50 am
