Research interests: Low-rank matrix approximations, nonnegative matrix factorization, continuous and discrete optimization, numerical linear algebra, computational complexity, machine learning, data mining, hyperspectral imaging, signal processing. 

*News*

• Olivier Vu Thanh successfully defended his PhD on October 22, 2024. Congratulations to him! [thesis]

• We organize the third workshop on Low-Rank Models and Applications (LRMA 25), 11-12 September 2025, in Mons. All information can be found on the website https://sites.google.com/view/lrma25

• I am in the organizing committee of the SIAM Conference on Mathematics of Data Science (MDS24), 21-25 Oct. 2024, Atlanta, U.S.A.

• I will attend the workshop on Hidden structures in dynamical systems, optimization, and machine learning, 19-23 May 2025 at GSSI, L'Aquila, Italy. 

• I will attend the 30th Biennial Numerical Analysis Conference, University of Strathclyde, Glasgow, 24-27 June 2025. 

• I will attend the INdAM Meeting on  Low-rank structures and numerical methods in matrix and tensor computations, Cortona, Italy, 1-5 September 2025. 

My book on NMF is available online.  The Matlab code of the book is available on gitlab. A course on NMF (slides + exercices) is available from here.