My current research is focused on parameter estimation in models for pedestrian dynamics via optimization or MCMC methods.
My research interests are broadly in the area of applied analysis. I am interested in the analysis and control of deterministic and/or stochastic partial differential equations which model natural effects and are therefore important for industrial, biological or socio-economical applications.
Current projects include inverse problems in the context of pedestrian dynamics, the use of feedback controls to stabilise and control the solutions to various thin film flow models or surface growth, and analysis of systems of interacting diffusions in the mean-field limit.
et al., 2017, Controlling roughening processes in the stochastic Kuramoto-Sivashinsky equation, Physica D-nonlinear Phenomena, Vol:348, ISSN:0167-2789, Pages:33-43
Gomes SN, Papageorgiou DT, Pavliotis GA, 2017, Stabilizing non-trivial solutions of the generalized Kuramoto-Sivashinsky equation using feedback and optimal control, Ima Journal of Applied Mathematics, Vol:82, ISSN:0272-4960, Pages:158-194
, 2017, OUP accepted manuscript, The Ima Journal of Applied Mathematics, ISSN:0272-4960
et al., 2016, Stabilising falling liquid film flows using feedback control, Physics of Fluids, Vol:28, ISSN:1070-6631
et al., 2015, Controlling spatiotemporal chaos in active dissipative-dispersive nonlinear systems, Physical Review E, Vol:92, ISSN:2470-0045