My research interests are quite broad. Instead of focusing on a particular method or paradigm, I am more interested in problem solving. I enjoy using all my knowledge to solve real and concrete challenges. I have particular affinities for problems related to operational research, optimisation, data science and machine learning.
In few words, I have already worked on the following topics:
Hybridization of machine learning with operational research.
Optimization of transports in the healthcare domain.
Verification of railway interlocking systems.
Fluidity optimisation of the railway traffic.
Mining frequent patterns in long sequences.
Implementation of new constraints related to data mining in OscaR.