Dr. Gabriel D. Puccini is an Associate Professor in the Department of Industrial Engineering at the Universidad Tecnológica Nacional. He obtained his PhD in Physics from the Universidad Nacional de La Plata, Argentina, and conducted research in theoretical physics in Argentina and Italy. He then worked in computational neuroscience during a four-year tenure in Spain. Currently, he leads the Laboratory of Methods and Computational Simulations focusing on optimization projects related to water distribution networks, microgrid systems, milk transport logistics, and granular flow prediction using artificial intelligence. He also delivers advanced coursework in metaheuristics. His research includes applying simulated annealing for leakage management and utilizing advanced computational techniques for solving complex optimization challenges.