Franklin Djeumou Fomeni, PhD

Postdoctoral Research Fellow

ESG-UQAM and CIRRELT, Montreal, Canada

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I am a PhD graduate in Operations Research-Management Science. I completed my Doctorate degree at Lancaster University, United Kingdom, where I was awarded the "Kingsman Prize" for the best PhD thesis in Operations Research at Lancaster University. My research interest lies at the interface of the theory and application of deterministic optimization methods to problems in energy, transport and manufacturing. More precisely, I develop and implement exact and heuristic algorithms for solving integer and mixed integer optimization problems applied in the above industries.

I am currently a Postdoctoral Research Fellow within the Inter-University Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) in Montreal, Canada. I have had two previous exciting postdoctoral experiences, one at Polytechnique Montreal, where I worked with Prof. Miguel Anjos and another one in the Centre for Transport and Logistics (CENTRAL), where I worked with Prof. Konstantinos Zografos and Dr Guglielmo Lulli.

My research experience can be summarized as follows:

  • At Polytechnique Montreal, I worked on developing an effective solution algorithm for binary constrained mixed-linear complementarity problems. These problems can model a variety of real world applications such as the equilibrium in energy markets, the equilibrium of transportation networks, etc.
  • During my time as a Senior Research Associate at Lancaster University, I was working on a project called OptiFrame (Optimization Framework for the Trajectory Based Operation in air traffic management). This was a H2020 project funded by the European Commission. The main objective of the OptiFrame research project was to apply the principles of mathematical modelling and optimization to configure and assess the performance of the Trajectory Based Operations (TBO) concept.
  • For my PhD, I was interested in developing heuristics and exact solution algorithm for solving the well known quadratic knapsack problem.