FoCM 2017

Random Matrices

Barcelona, July 13th-15th, 2017

This workshop is part of the triennial FoCM conference series, organized by the Society for Foundations of Computational Mathematics. The next edition will be held in Barcelona, July 10th-19th, 2017.

FoCM 2017 brings together mathematicians, numerical analysts, computer scientists and engineers all interested in a deeper understanding of mathematics and the computational process.

We are organizing a workshop on random matrix theory, algorithms and applications at FoCM 2017 that focuses on the theory and applications of random matrices. It is unique in the sense the "users" and "producers" of random matrix theory from the entire breadth of science and engineering are being brought together.

Our speakers will speak about the role of random matrices in a variety of areas that include statistical signal processing, machine learning, numerical algorithms, analysis, wireless communications, array processing, computational electromagnetics, uncertainty quantification, optics, and multivariate statistics.


  • Michel Ledoux, Université de Toulouse, France
  • Sheehan Olver, The University of Sydney, Australia
  • Joel Tropp, California Institute of Technology, USA
  • Semi-plenary speakers

  • Ioana Dumitriu, University of Washington, USA
  • Amit Singer, Princeton University, USA
  • Speakers

  • Folkmar Bornemann, TU Munich, Germany
  • Djalil Chafai, Université Paris-Dauphine, France
  • Alan Edelman, Massachusetts Institute of Technology, USA
  • Noureddine El Karoui, University of California, Berkeley, USA
  • Elizabeth Meckes, Case Western Reserve University, USA
  • Mark Meckes, Case Western Reserve University, USA
  • Ramis Movassagh, IBM TJ Watson, USA
  • Raj Rao Nadakuditi, University of Michigan, USA
  • Jelani Nelson, Harvard University, USA
  • Konstantin Tikhomirov, University of Alberta, Canada
  • Tom Trogdon, University of California, Irvine, USA

  • Ke Wang, HKUST

  • Information

    Schedule and talk abstracts: PDF available here.

    Related plenary talks:

  • Alexei Borodin, Massachusetts Institute of Technology, USA
  • Martin Hairer, University of Warwick, UK
  • Gábor Lugosi, ICREA & Universitat Pompeu Fabra, Spain
  • Andrew Stuart, Caltech
  • Joel Tropp, Caltech

  • Related workshops of FoCM'17

  • A1. Approximation Theory
  • A6. Mathematical Foundations of Data Assimilation and Inverse Problems
  • A7. Stochastic Computation
  • B4. Learning Theory
  • B7. Numerical Linear Algebra
  • C1. Computational Harmonic Analysis and Compressed Sensing
  • C7. Special Functions and Orthogonal Polynomials

  • Previous workshops: 2005, 2008, 2011, 2014

    Contact us


    Updated: July 29, 2016.