Fred (Farbod) Roosta
School of Mathematics and Physics
University of Queensland, Brisbane, Australia
International Computer Science Institute, Berkeley, USA

Email: fred.roostauq.edu.au


Research Interests

  • Machine Learning
  • Numerical Optimization
  • Randomized Algorithms
  • Computational Statistics
  • Numerical Analysis and Scientific Computing
  • Numerical Linear Algebra
  • Image Processing and Inverse Problems



  • June, 2018:  I was selected for the ICML 2018 Top 10 Reviewer award! It is like a "fair play award" in some sports, or even "good-behaviour award" in elementary school, but nonetheless, I am going to brag about it :-)
  • May, 2018:  We are represented at ICML 2018 with 2 papers! (this, which is about inference on random graphs and this, which studies some statistical properties of artificial neural nets).

Preprints and Publications




  • Parallel Local Graph Clustering
    Julian Shun, Farbod Roosta-Khorasani, Kimon Fountoulakis and Michael W. Mahoney
    Proceedings of the VLDB Endowment, 9(12), pp. 1041-1052, 2016.




  • Rixon Crane (PhD)
  • Robert Salomone (PhD)
  • Yang Liu (MPhil)


I always look for enthusiastic MSc/MPhil/PhD students...
(a) your research interests lie anywhere in the union of Numerical Optimization, Machine Learning, Randomized Algorithms, Computational Statistics, Scientific Computing, or Numerical Linear Algebra,
(b) you are looking to do a MSc/PhD degree in one of the world's leading and highly ranked research universities in beautiful Australia,
then feel free to drop me a line with your current CV and a few words regarding your research/background.

Selected Talks/Workshops/Posters



  • INFORMS Annual Meeting

    Phoenix, Arizona, November, 2018

  • Foundations of Data Science - Simons Institute for the Theory of Computing

    Berkeley, California, August-September, 2018

  • International Symposium on Mathematical Programming (ISMP)

    Bordeaux, France, July, 2018

  • International Conference on Econometrics and Statistics (EcoSta)

    Hong Kong, June, 2018



  • International Conference on Artificial Intelligence and Statistics (AISTATS)

    Lanzarote, Canary Islands, April, 2018

  • International Conference on High Performance Scientific Computing (HPSC)

    Hanoi, Vietnam, March, 2018

  • SIAM Annual Meeting

    Pittsburgh, Pennsylvania, July, 2017

  • Matrix Program on Computational Inverse Problems

    Creswick, Australia, June, 2017

  • SIAM Conference on Optimization

    Vancouver, Canada, May, 2017

  • SIAM Conference on Computational Science and Engineering

    Atlanta, Georgia, February, 2017

  • Computational and Methodological Statistics (CMStatistics)

    Seville, Spain, December, 2016

  • Pacific Institute for the Mathematical Sciences (SCAIM Seminar)

    Vancouver, British Columbia, September, 2016

  • Institute of Applied Mathematics (IAM)

    Vancouver, British Columbia, September, 2016

  • Virginia Tech Math Colloquium

    Blacksburg, Virginia, September, 2016

  • SAMSI Program on Optimization (Invited Plenary Talk)

    Research Triangle Park, North Carolina, August, 2016

  • Recent Advances in Randomized Numerical Linear Algebra

    National Institute of Informatics, Shonan Village Center, Japan, July, 2016

  • Workshop on Algorithms for Modern Massive Data Sets (MMDS)

    Berkeley, California, June, 2016

  • SIAM Conference on Uncertainty Quantification

    EPFL, Lausanne, Switzerland, April, 2016

  • Matrix Computations and Scientific Computing Seminar

    Berkeley, California, March, 2016

  • AMPLab (All Hands Meeting)

    Berkeley, California, September, 2015

  • Sparse Representations, Numerical Linear Algebra, and Optimization

    BIRS, Alberta, October, 2014

  • SIAM Conference on Optimization

    San Diego, California, May, 2014

  • Pacific Institute for the Mathematical Sciences (SCAIM Seminar)

    Vancouver, British Columbia, November, 2013