I work on identifying local resource flows such as agricultural residues, organic waste, water, and energy and transforming them into valuable inputs through circular economy models. By integrating artificial intelligence, data analytics, and digital tools, I aim to improve efficiency, traceability, and decision-making across these systems. This includes applications such as resource optimization, predictive maintenance, waste reduction, and improved planning for local production and services.
A central aspect of my approach is working closely with rural communities, cooperatives, small producers, and local institutions. I believe that technological innovation must be adapted to local realities, capacities, and needs. For this reason, my work emphasizes participatory project design, capacity building, and the transfer of practical skills, ensuring that AI and digital tools serve as enablers rather than barriers.
My objective is to contribute to the creation of resilient local economies that reduce dependence on extractive and linear models. Through circular economy strategies supported by AI, I aim to extend product lifecycles, reduce waste, regenerate natural systems, and strengthen local value chains. At the same time, these projects seek to generate employment, increase income opportunities, and support long-term social and environmental sustainability in rural territories.

The University of Algarve is a unique institution. First of all, as it is the only Portuguese university created by the Law of the Assembly of the Republic, having received unanimous approval from Parliament.

The Academy is recognized for the quality of its teaching in several fields, namely in the areas of Health Sciences and Technologies; Economy, Management and Tourism; Social and Education Sciences; and Exact and Natural Sciences, also standing out at the international level in various rankings.