This book covers cutting-edge findings related to uncertainty quantification and optimization under uncertainties (i.e. It describes new methods for uncertainty quantification, such as non-intrusive polynomial chaos, collocation methods, perturbation methods, as well as adjoint based and multi-level Monte Carlo methods.