Section 1: Theory, Algorithms and Extensions Quantum independent component analysis and related statistical blind qubit uncoupling methods -- Blind source separation based on dictionary learning: a singularity-aware approach -- Performance study for complex independent component analysis -- Sub-band based- blind source separation and permutation alignment -- Frequency domain blind source separation based on independent vector analysis with a multivariate Gaussian source prior -- Sparse component analysis: a general framework for linear or nonlinear blind unmixing of signals or images -- Underdetermined audio source separation using Laplacian mixture modelling -- Itakura-Saito nonnegative matrix two-dimensional factorizations for blind single channel audio separation -- Source localisation and tracking: a maximum a posterior based approach -- Section 2: Applications Statistical analysis and evaluation of blind speech extraction algorithms -- Speech separation and extraction by combining super directive beam forming and blind source separation -- On the ideal ratio mask as the goal of computational auditory scene analysis -- Monaural speech enhancement based on multi-threshold masking -- REPET for background/foreground separation -- Non-negative matrix factorization sparse coding strategy for cochlear implants -- Exploratory analysis of brain with ICA -- Supervised normalisation of large-scale omic datasets using blind source separation -- FebICA: feedback independent component analysis for complex domain source separation of communication signals -- Semi-blind functional source separation algorithm from non-invasive electrophysiology to neuroimaging.