Dr. Said Abdel-Monsef is a researcher in the field of composite materials, structural mechanics, and uncertainty quantification. He earned his Ph.D. with international mention and cum laude distinction from the University of Girona (Spain), where his thesis focused on cohesive zone modeling (CZM) for adhesively bonded joints under environmental aging and hygrothermal effects. His work introduced an objective inverse method to extract traction-separation laws from experimental fracture data. He has participated in several high-impact European research projects, including CAELESTIS, CONCERTO, contributing to structural performance modeling, uncertainty quantification (UQ), and digital twin strategies for composite manufacturing and design. His work bridges material characterization, high-fidelity simulations, and machine learning tools such as Gaussian Process Regression (GPR) and Bayesian inference for predictive design. He has presented at major international conferences (e.g., CFRAC 2025) and is committed to advancing open science and interdisciplinary research in computational mechanics, sustainable structures, and advanced material systems.