Grigorios A. Pavliotis is Professor of Applied Mathematics at the Department of Mathematics at Imperial College. His main research interests lie in the areas of stochastic differential equations and diffusion processes, nonequilibrium statistical mechanics and homogenization theory for partial differential equations and stochastic differential equations. He is particularly interested in the development of analytical, computational and statistical techniques for multiscale stochastic systems, in time-dependent statistical mechanics and kinetic theory and in the analysis and development of sampling techniques in high dimensions. Current research projects include inference and control for multiscale systems, the development of computational techniques for calculating transport coefficients, homogenization for multiscale diffusion processes and sampling techniques in molecular dynamics.
His personal webpage can be found at http://www.ma.ic.ac.uk/~pavl
Abdulle A, Pavliotis GA, Vaes U, Specral methods for multiscale stochastic differential equations, Siam/asa Journal on Uncertainty Quantification, ISSN:2166-2525
et al., Controlling roughening processes in the stochastic Kuramoto-Sivashinsky equation, Physica D - Nonlinear Phenomena, ISSN:0167-2789
Duncan AB, Lelievre T, Pavliotis GA, 2016, Variance Reduction Using Nonreversible Langevin Samplers, Journal of Statistical Physics, Vol:163, ISSN:0022-4715, Pages:457-491
et al., 2016, Stabilising falling liquid film flows using feedback control, Physics of Fluids, Vol:28, ISSN:1070-6631
et al., 2015, A Multiscale Analysis of Diffusions on Rapidly Varying Surfaces, Journal of Nonlinear Science, Vol:25, ISSN:0938-8974, Pages:389-449