Bio


I graduated from Universite catholique de Louvain (Belgium) in 2015 with a Master's degree in Mathematical Engineering. I specialized in Optimization and Numerical Linear Algebra.

I am interested in Fast Linear Solvers, either dense or sparse.
Past projects consisted of accelerating BEM equations solve through low-rank approximation of the kernel function.
Currently, I am working on methods to solver large sparse linear systems with a near linear complexity on a wide range of problems.
This combines ideas from direct methos (Nested Dissection) and low-rank approximations to sparsify nested dissection separators.

Current Research and Scholarly Interests


Fast Sparse Linear Solvers

Projects


  • FAST, Finally an SDDP Toolbox, Universite catholique de Louvain

    Location

    Louvain-la-Neuve, Belgium

    Collaborators

    • Damien Scieur, PhD student, INRIA/ENS Paris

Work Experience


  • Software Intern, NVidia Corp (2016)

    Location

    San Jose, California; USA

All Publications


  • ROBUST LOW-RANK MATRIX COMPLETION BY RIEMANNIAN OPTIMIZATION SIAM JOURNAL ON SCIENTIFIC COMPUTING Cambier, L., Absil, P. 2016; 38 (5): S440-S460

    View details for DOI 10.1137/15M1025153

    View details for Web of Science ID 000387347700022

  • Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage Under Renewable Supply Uncertainty IEEE TRANSACTIONS ON SUSTAINABLE ENERGY Papavasiliou, A., Mou, Y., Cambier, L., Scieur, D. 2018; 9 (2): 547–58
  • Optimal Management of Storage for Offsetting Solar Power Uncertainty using Multistage Stochastic Programming Kaneda, T., Losseau, B., Papavasiliou, A., Scieur, D., Cambier, L., Henneaux, P., Leemput, N., IEEE IEEE. 2018