Frans de Ruiter

Local maxima at Mt. Fuji (2016)

Contact:
Email 1: fjctderuiter at gmail dot com
Email 2: deruiter at cqm dot nl
LinkedIn

I am a decision science consultant at CQM where I design and implement optimization, machine learning and artificial intelligence algorithms for various clients. I am also involved in helping the companies to transform to a data driven way of working.

I have obtained my PhD in Operations Research at Tilburg University in the Netherlands advised by Dick den Hertog and Dimitris Bertsimas from MIT. Prior to starting my PhD research I obtained a degree in Applicable Mathematics (MSc.) from the London School of Economics and a degree in Management Science and Operations Research (MSc.) from Tilburg University. My main research interests are optimization under uncertainty, combining optimization with machine learning and optimization problems that arise in real-world applications.

Recently I taught an optimization class for the JADS data science expert program. Course material can be found here.

See also my full Curricilum Vitae.

Publications

  • Dual approach for two-stage robust nonlinear optimization, (with Jianzhe Zhen and Dick den Hertog), submitted to Operations Research, 2019. [Preprint],
  • Robust optimization for models with uncertain SOC and SDP constraints, (with Jianzhe Zhen, Ernst Roos and Dick den Hertog), submitted to Operations Research, 2019. [Preprint],
  • Approximation of hard uncertain convex inequalities, (with Ernst Roos, Jianzhe Zhen, Aharon Ben-Tal and Dick den Hertog), submitted to Informs Journal on Computing, 2019. [Preprint],
  • Duality in two-stage adaptive linear optimization: faster computation and stronger bounds, (with Dimitris Bertsimas), INFORMS Journal on Computing, 28 (3), p500-511, 2016. [Preprint] [DOI] [BibTeX]
  • The impact of the existence of multiple adjustable robust solutions, (with Ruud Brekelmans and Dick den Hertog), Mathematical Programming, 160 (1), p531-545, 2016. [Article] [DOI] [BibTeX]
  • Robust optimization of uncertain multistage inventory systems with inexact data in decision rules, (with Aharon Ben-Tal, Ruud Brekelmans and Dick den Hertog), Computational Management Science, Computational Management Science, 14 (1), p45-77, 2017. [Article] [DOI] [BibTeX] [Slides]
  • Applications of integer programming methods to cages, (with Norman Biggs), The Electronic Journal of Combinatorics, 22 (4), p4.35, 2015. [Article] [BibTeX]
  • Primal and dual approaches to adjustable robust optimization, PhD thesis Tilburg University, 2017 (Available online here soon). [Code Chapter 1]

Figure from paper ``Duality in two-stage adaptive linear optimization: faster computation and stronger bounds''.

Talks

  • 6th International Conference on Continuous Optimization (ICCOPT), Berlin (Germany), August 2019.
  • 23th International Symposium on Mathematical Programming (ISMP), Bordeaux (France), July 2018.
  • Workshop Robust Optimization, Avignon (France), June 2018.
  • INFORMS Annual Meeting, Houston TX (USA), October 2017.
  • Conference on Computational Management Science (CMS), Bergamo (Italy), June 2017.
  • SIAM Conference on Optimization, Vancouver (Canada), May 2017.
  • 53th Dutch Mathematical Congeres: KWG prize finalist presentation, Utrecht (The Netherlands), April 2017.
  • AP seminar IBM Watson, Yorktown Heights NY (USA), November 2016.
  • INFORMS Annual Meeting, Nashville TN (USA), November 2016.
  • 5th International Conference on Continuous Optimization (ICCOPT), Tokyo (Japan), August 2016.
  • 2016 Optimization Days Conference, HEC Montreal, Montreal (Canada), May 2016.
  • Invited Research Seminar, Erasmus University Rotterdam, Rotterdam (The Netherlands), February 2016.
  • 41th Conference on the Mathematics of Operations Research, Lunteren (The Netherlands), January 2016.
  • 22nd International Symposium on Mathematical Programming (ISMP), Pittsburgh PA (USA), July 2015.
  • 40th Conference on the Mathematics of Operations Research, Lunteren (The Netherlands), January 2015.
  • 11th International Conference on Applied Mathematical Optimization and Modelling (APMOD), Warwick (UK), April 2014.
  • Annual meeting of the Netherlands Society for Statistics and Operations Research (VVS+OR), Utrecht (The Netherlands), March 2014.
  • Management Science seminar series, London School of Economics, London (UK), March 2014.

Teaching

  • Winter 2020 (planned): Robust Optimization
    (PhD level course, LNMB)
  • Summer 2017, 2018, 2019: Optimization Case Studies
    (JADS expert program, JADS acadamy for Data Science in den Bosch)
  • Fall 2015, 2016: Linear optimization
    (Undergraduate course, Tilburg University)
  • Spring 2016: Analytics for Business and Governance
    (Graduate course, Tilburg University)
  • Fall 2014, Fall 2015: Statistics for premaster
    (Graduate course, Tilburg University)