Dr Jamie Fairbrother

Senior Research Associate

Research Overview

My interests lie in the areas of optimization, applied probability and statistics, and I have worked on applications in logistics and telecommunications. My PhD research concerned scenario generation which is an issue that arises in stochastic programming.

A two-level graph partitioning problem arising in mobile wireless communications
Fairbrother, J., Letchford, A.N., Briggs, K. 04/2018 In: Computational Optimization and Applications. 69, 3, p. 653-676. 24 p.
Journal article

On the Development of a Fair and Efficient Slot Scheduling Mechanism at Congested Airports
Fairbrother, J., Zografos, K. 7/01/2018

Projection results for the k-partition problem
Fairbrother, J., Letchford, A.N. 8/11/2017 In: Discrete Optimization. 26, p. 97-111. 15 p.
Journal article

Scenario generation for single-period portfolio selection problems with tail risk measures: coping with high dimensions and integer variables
Fairbrother, J., Turner, A., Wallace, S. 17/05/2017 In: INFORMS Journal on Computing.
Journal article

Problem-driven scenario generation for stochastic programs
Fairbrother, J. 2016 Lancaster University. 215 p.
Doctoral Thesis

Problem-driven scenario generation: an analytical approach for stochastic programs with tail risk measure
Fairbrother, J., Turner, A., Wallace, S.W. 11/2015 In: arxiv.org.
Journal article

Enhanced algorithms for TV whitespace power maximization
Briggs, K., Fairbrother, J. 2014 In: Antennas and Propagation (EuCAP), 2014 8th European Conference on. IEEE Electronic ISBN: 9788890701849.
Conference contribution

  • Centre for Transportation Systems & Logistics (CENTRAL)
  • Mathematical Models and Algorithms for Allocating Scarce Airport Resource (OR-MASTER)


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