Doctoral research focused on parallel methods for data-stream analysis using data mining techniques and reconfigurable hardware.

Dissertation: Hardware Acceleration of Frequent Itemset Mining on Data Streams

Master’s research focused on parallel methods for large-scale data classification using reconfigurable hardware.

Thesis: Arquitectura hardware-software para acelerar el entrenamiento de SVM

Undergraduate studies and research focused on software analysis, design, and implementation, with particular emphasis on Pattern Recognition and Data Mining.

Thesis: Chemometric Tools for the Analysis of Spectral Chemical Data

Academic preparation for university-level teaching in Computer Engineering and related disciplines, with emphasis on pedagogy, course design, and higher-education instruction.