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., 2021, On stochastic mirror descent with interacting particles: Convergence properties and variance reduction, Physica D: Nonlinear Phenomena, Vol:418, ISSN:0167-2789, Pages:132844-132844
Pavliotis GA, Stoltz G, Vaes U, 2021, Scaling limits for the generalized langevin equation, Journal of Nonlinear Science, Vol:31, ISSN:0938-8974, Pages:1-58
Lucarini V, Pavliotis G, Zagli N, 2020, Response theory and phase transitions for the thermodynamic limit of interacting identical systems, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol:476, ISSN:1364-5021
Carrillo JA, Delgadino MG, Pavliotis GA, 2020, A λ-convexity based proof for the propagation of chaos for weakly interacting stochastic particles, Journal of Functional Analysis, Vol:279, ISSN:0022-1236, Pages:1-30
Zelati MC, Pavliotis GA, 2020, Homogenization and hypocoercivity for Fokker-Planck equations driven by weakly compressible shear flows, Ima Journal of Applied Mathematics, Vol:85, ISSN:0272-4960, Pages:951-979