Dang-Phuong-Lan NGUYEN
Postdoctoral researcher in Signal and Image Processing

Professional resume

• From 02/2024 to present:  I am a postdoctoral researcher in  ACTION team at Laboratory of Medical Information Processing (LATIM), University of Western Brittany, INSERM.  I have had the great pleasure to work with Dr. Julien BERT and Dr. Chi-Hieu PHAM, funded by MoCaMed project. My research topic is Deep Learning-Based Approaches for Dose Image Denoising in Monte Carlo Simulations (MCS).  In particular, this work proposes a state-of-the-art deep learning techniques to improve MCS dose images for radiotherapy  and radiation protection protocols applications.

• From 10/2022 to 03/2023: Teacher resarcher (ATER) at Institut de Mathématiques de Bordeaux (IMB) and Laboratoire de l'Intégration du Matériau au Système (IMS), University of Bordeaux, France.

• From 10/2019 - 09/2022:  I was a PhD student at University of Bordeaux in Image, Optimization and Probability (IOP) team of Institute of Mathematics Bordeaux (IMB)  and Signal & Image team of  the  Intergration from Material to System laboratory (IMS) under the supervision of Professor Jean-Francois AUJOL and professor Yannick BERTHOUMIEU.  My PhD work is aimed at "Super resolution of multiscale 3D images from material sciences", funded by SUPREMATIM (SUPer REsolution of 3D MATerials IMages) project. 

• From 2018 to 2019: I did the Master 2 degree in Applied Mathematics: Maths en action –  Computer Vision, Images processing from Claude Bernard University Lyon 1 and École Centrale de Lyon. During this program, I got the scholarship for Master students in Mathematics from the LABEX MiLyon.  In the same year, I completed my internship at  Institut Camille Jordan. My internship work is aimed at  "Approximate curvatures of a measurement, and application to the analysis and filtering of color images", under the supervision of Professor Simon MASNOU. 

PhD thesis

Super-resolution of multiscale 3D images from materials science, D-P-L Nguyen, Université  de Bordeaux, 2023

Publications

1. PCA Reduced Gaussian Mixture Models with Applications in Superresolution,
   J. Hertrich, D-P-L. Nguyen, J-F. Aujol, D. Bernard, Y. Berthoumieu, A. Saadaldin and G. Steidl, Inverse Problems and Imaging, 2021. 

2.  Image super-resolution with PCA Reduced generalized Gaussian mixture models,

Dang-Phuong-Lan Nguyen, Johannes Hertrich, Jean-Francois Aujol, Yannick Berthoumieu, Inverse Problems and Imaging, 2023.

Conference Publication

1. Patch-based image Super Resolution using generalized Gaussian mixture model,

Dang-Phuong-Lan Nguyen, Jean-Francois Aujol, Yannick Berthoumieu, GRETSI 2022, Nancy, France, 2022. 

References

•  Research scientist Julien BERT, ACTION team, LATIM,  CHRU Brest, Université de Bretagne Occidentale, Brest, France.

PhD's supervisors

•  Professor Jean-Francois AUJOL, IOP team, IMB, Université de Bordeaux, 351 Cours de la liberation, 33405 Talence Cedex, France. 

•  Professor Yannick BERTHOUMIEU, Signal and Image Processing team, IMS, Université de Bordeaux, 351 Cours de la liberation, 33405 Talence Cedex, France. 

•   Professor Dominique BERNARD, ICMCB, CNRS UMR5026, Universite Bordeaux, 87, Avenue du Docteur Schweitzer 33608 PESSAC Cedex, France. 

Master's supervisor

•  Professor Simon MASNOU, Institut Camille Jordan, CNRS UMR 5208 Université Claude Bernard Lyon 1, 43, Boulevard du 11 novembre 1918, 69622 Villeurbanne Cedex, France.