Hong-Phuong DANG

I am currently an associate professor at the ECAM Rennes Louis de Broglie, associate researcher at the Laboratoire of Medical Information Processing (LaTIM - UMR1101).

I was a PhD student from october, 2013 to november, 2016 at CRIStAL in Lille, France, under the supervision of Pierre Chainais and I was part of the SigMA group at CRIStAL. My Ph.D. thesis is entitled " Non-parametric Bayesian approaches and dictionary learning for inverse problems in image processing".

Research interests :

• Statistical signal and image processing.

• Inverse problems in signal and image processing.

• Dictionary learning, sparse representations.

• Classification, clustering.

Tools and methods (favorite) :

• Bayesian inference, hierarchical models, latent variable models.

• Bayesian nonparametric.

• Markov chain Monte Carlo (MCMC) algorithm.

• Expectation-Maximization algorithm, variational approximation.

I am particularly interested in working on medical imaging problems. 

I am also interested in interaction between Bayesian methods and optimization.