Information Theoretic Learning
Information Theoretic Learning (ITL) regards the use of criteria derived from Information Theory and that would allow to overcome the limitations of second-order statistics.
Optimization and Simulation
The goal is to propose metaheuristic methodologies and its integration with simulation techniques in order to tackle complex optimization problems which in turn support complex decision-making in the areas of smart cities, telecommunications systems and transportation and logistics,.
In today’s complex world, there is a visible trend in the implementation of smart technologies to city planning and management, leading to greater optimization of time and resources, and resulting in more efficiency. All these form a series of very challenging problems.
I am really interested in all of these topics, if you fell like we can collaborate feel free to contact me.