Prof. Coralia Cartis

Assoc. Prof. Cartis’ research is on optimization, algorithm development, analysis and implementation for a variety of problem classes (linear, convex, nonconvex, smooth/nonsmooth, stochastic), suitable for large scale. In the past few years, her research focused on complexity of nonconvex optimization problems; compressed sensing; parameter estimation for climate modelling. Currently, she is investigating optimization methods for problems with imperfect or corrupted information, such as in the case of stochastic optimisation.