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
et al., Dynamics of the Desai-Zwanzig model in multiwell and random energy landscapes, Physical Review E, Vol:99, ISSN:2470-0045
et al., 2019, Instability, rupture and fluctuations in thin liquid films: Theory and computations, Journal of Statistical Physics, Vol:174, ISSN:0022-4715, Pages:579-604
Nüsken N, Pavliotis GA, 2019, Constructing Sampling Schemes via Coupling: Markov Semigroups and Optimal Transport, Siam/asa Journal on Uncertainty Quantification, Vol:7, Pages:324-382
Schmuck M, Pavliotis GA, Kalliadasis S, 2019, Recent advances in the evolution of interfaces: Thermodynamics, upscaling, and universality, Computational Materials Science, Vol:156, ISSN:0927-0256, Pages:441-451