Mr. Helmi Nasraoui’s research reflects a strong commitment to advancing intelligent manufacturing through the integration of artificial intelligence, additive manufacturing, and robust design methodologies. His Scopus-indexed journal publication demonstrates effective use of Artificial Neural Networks and Gaussian Process Regression to predict energy consumption in AM-FDM processes, addressing sustainability and process optimization challenges. Complementary conference publications expand this work to rheology variation analysis and HVAC energy modeling, reinforcing the practical relevance of his research. Collectively, these contributions highlight methodological rigor, innovation, and industrial applicability. His Scopus profile records 1 indexed journal publication, multiple conference papers, an emerging citation record, supporting his suitability for the Research Excellence Award.