Published in IEEE, pp. 292-299. A smart geospatial system for detecting and mapping high-risk areas of epidemic spread using real-time data analysis.

Development of a decision support system for the management of osteoarthritis of the knee in order to reduce unnecessary hospitalizations, performed in collaboration with a team of rheumatologists and physiotherapists.

Solving the Longest Common Subsequence problem using the approximation genetic algorithm and benchmarking the results to evaluate the performance.

Implementation and optimization of the Smith-Waterman algorithm for local sequence alignment using parallel computing techniques to improve performance.

A comprehensive project focused on large-scale data processing and analysis using Apache Spark, exploring distributed computing patterns and performance tuning.

Analysis and implementation of various data mining algorithms for pattern recognition, clustering, and predictive modeling on diverse datasets.