
Nicolas Gillis
استاد · Low-rank matrix approximations
Swiss Federal Institute of Technology in LausanneSwitzerland
معرفی
Nicolas Gillis is a Professor in the Department of Mathematics and Operational Research at the Faculty of Engineering, University of Mons, Belgium. His research focuses on theoretical and applied aspects of low-rank matrix approximations, nonnegative matrix factorization (NMF), optimization, and computational complexity, with applications in machine learning, data mining, and hyperspectral imaging.
- Research Interests: Low-rank matrix approximations, NMF, numerical linear algebra, machine learning, and signal processing.
- Publications: Authored the first comprehensive book on NMF, available in print and digital formats, with accompanying MATLAB code on GitLab.
- Teaching: Created a doctoral course on NMF with 6 lectures and 4 exercise sessions for the SOCN doctoral school.
- Upcoming Events: Organizing the third workshop on Low-Rank Models and Applications (LRMA 25) in September 2025, and the SOCN study day in Mons.
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