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*

Nicolas Nadisic has defended his PhD thesis publicly on April 21st, congratulations Nicolas!

I have joined the editorial board of the SIAM J. on Mathematics of Data Science, in January 2022.

I have been appointed Senior Area Editor of the IEEE Trans. on Signal Processing, to start in April 2022.

We will organize the second workshop on Low-Rank Models and Applications in Mons, 15-16 September 2022, see here.

I gave a talk for the E-NLA seminar on January 27, 2021, see here.

My book on NMF is now available online. The Matlab code of the book is available on gitlab.

I will give a plenary talk at the 24th Conference of the Int. Linear Algebra Society (ILAS) in June 2022.