
Sergio Cavero
Universidad Rey Juan Carlos
Madrid, Spain
PhD Student in Artificial Intelligence
Bio
Sergio Cavero was born Madrid (Spain) on September 24, 1997. He graduated in Software Engineering from Universidad Politécnica de Madrid in 2019. During his undergraduate studies he made a stay at the University of Bradford (UK). In addition, he was awarded twice with the ‘Beca de Excelencia of the Comunidad de Madrid, and also awarded for the Best Final Degree Project. Later, he completed a Master’s Degree in Artificial Intelligence at the same university (UPM) obtaining awards for Best Academic Record (‘Premio José Cuena’) and Best Master’s Thesis. He academic results lend him be beneficiary of one of the ‘Ayudas Para la Formación de Profesorado Universitario (FPU)’, funded by the Spanish Government. He is currently carrying out his doctoral thesis at the Universidad Rey Juan Carlos, supervised by Professors Abraham Duarte and Eduardo G. Pardo. His main research interests focus on the interface among Computer Science, Artificial Intelligence and Operations Research. Most of his publications deal with the development of metaheuristics procedures for optimization problems modeled by graphs.
Education
- PhD Student in Artificial Intelligence - Universidad Rey Juan Carlos (2020-present)
- Master in Artificial Intelligence - Universidad Politécnica de Madrid (2019-2020)
- Bachelor in Software Engineering - Universidad Politécnica de Madrid (2015-2019)
Interests
Artificial Intelligence | Metaheuristics | Heuristics | Optimization
Links

Solving a short sea inventory routing problem in the oil industry
- Sergio Cavero , Manuel Laguna , Eduardo G Pardo

A general variable neighborhood search for Cyclic Antibandwidth Problem
- Sergio Cavero , Eduardo G Pardo , Abraham Duarte , Eduardo Rodriguez Tello



