Erfan Azinpour is an experienced and dedicated post-doctoral researcher in mechanical engineering, specializing in solid mechanics and material modeling. His academic journey in mechanical engineering led him to pursue advanced studies in computational mechanics, earning his doctorate from the Department of Mechanical Engineering at the University of Porto. In March 2020, he defended his thesis titled "Phase field and gradient damage models in ductile failure", developing efficient and robust numerical frameworks in the analysis of ductile fracture of solids. Erfan Azinpour has established a growing track record of contributing to several research projects in partnership with the Institute of Science and Innovation in Mechanical and Industrial Engineering (INEGI) and the Faculty of Engineering of University of Porto (FEUP) since July 2016, focused on the development of advanced numerical techniques in dealing with failure in metallic materials. Notably, he participated in activities within the scope of the project ADDing - Multi-scale Modelling of ADDitive Manufacturing by Direct Energy Deposition of Metallic Powders, which helped him to commence his studies in the field of additive manufacturing of solids. His involvement in these projects, most recently in Hi-rEV project with the topic of recovery of automotive component sectors, mainly concentrated on developing computational methods and bridging practical connections between theoretical models and industrial applications. During his academic research, he was able to publish several articles in reputed journals and has presented his research at various international conferences over the past few years. His primary interests revolve around developing efficient numerical methods for fracture and damage mechanics, such as phase-field approaches, in various contexts, including brittle, ductile, and fatigue fractures in particular industrial contexts including advanced manufacturing technologies and environmental sectors. He also has been a member of the LAETA association (Associate Laboratory of Energy, Transports and Aerospace) since 2020, where his research activities align closely with the institute's core competencies and strategic objectives. His ongoing research aims to advance the field of computational mechanics by developing more robust and efficient numerical methods, including data-driven approaches, for predicting material behavior and failure mechanisms, with potential applications in aerospace, automotive, and advanced manufacturing industries.