Mathematic optimisation
It addresses optimisation problems when data or constraints contain uncertainty, either stochastic or fuzzy. Efficient algorithms are designed to determine the best sequence in the company's projects. The viability of public pension systems is analysed.
Process optimisation
Development of reinforcement learning models and dynamic programming for cost reduction, the improvement of important parameters and the increase of efficiency.
Recommender system
Development of product recommendation engines based on the characteristics of the customer and management of personalised promotions.
