Research Interests

Statistical signal processing, Bayesian estimation, multi-band image processing.

Image processing/computer vision: multi/single-frame super-resolution, multi-band fusion, NMF-like problems, e.g., spectral unmixing,...  

Machine Learning                             nonlinear regression, deep learning, ...

Optimization methods:                       proximal algorithms, ADMM, OMP, ...  

Sparse representation:                      dictionary learning, sparse coding, ...  

Sequential Bayesian inference:        adaptive filter, Gaussian sum filter,...  

MCMC methods:                                 Gibbs sampling, Metropolis-Hastings, reversible jumps, hybrid algorithms, ...
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