Hong-Phuong DANG

✨ News ✨

We organize AI WILD West -  a Workshop on Inverse problem, Learning, imaging & Data science, January 29 - 30 2026 at CentraleSupélec Rennes campus. Registration is free and can be completed via this form. And if you wanna present something, send us an abstract !

I am currently an associate professor at the CentraleSupélec, in the Rennes campus. I am a member of the  AIMAC team within the Institut d'Electronique et des Technologies du numéRique laboratory (IETR - UMR 6164).

I obtained my Ph.D. in Statistical Signal Processing in 2016 at Centrale Lille, CRIStAL (UMR 9189) in France. My dissertation was entitled "Non-parametric Bayesian approaches and dictionary learning for inverse problems in image processing".

My primary research interests lie in machine learning, with a particular emphasis on medical information processing. I am especially interested in bridging the gap between theoretical advances and their integration into translational research.

Research interests :

• Machine/Deep learning

• Statistical signal and image processing.

• Inverse problems in signal and image processing.

• Dictionary learning, sparse representations.

• Classification, clustering.

• Numerical optimisation

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