Ph.D. "Applying adaptive changes in ontology and beliefs to reason about counterfactuals."
After a 'pure mathematics and theoretical computer science' background has been developed during my BSc, which has been followed by a 'combinatorial optimization' interest in my MSc; my interest in studying cognitive science approaches to AI issues has lately been started. I've been developing my background in such fields during the past years, taking graduate subject courses, since, unfortunately, I didn't study many of such interesting topics during the undergraduate period.

M.Sc. "Graph algorithms and their applications."
Upon graduation, my study and research interests were basically oriented toward "combinatorial optimization". In September 2005, I obtained an MSc degree in Computer Science on: "Graph algorithms and their applications"; where a study of hard combinatorial optimization problems that appear in graph theory has been introduced, along with detailed explanations of how to handle such kind of problems in practice. The well-known "Ant Colony Optimization" techniques have been studied in detail and I presented a modification to a heuristic algorithm used for solving the "graph coloring problem" based on such techniques. I've also implemented that modification to practically solve the coloring problem, and the obtained results showed that the modified algorithm outperforms the original one.