Javier Ureña Santiago (m), Bachelor’s degree in Industrial Electronic Engineering (BEng, 2018), MsC in Automatics and Robotics (2020) and MsC in Big Data and Visual Analytics (2022)Passionate about research and development in Computational Science and Artificial Intelligence, I am currently pursuing a doctoral degree at Leopold-Franzens University of Innsbruck. My focus lies in Deep Learning modeling and Artificial Vision systems within the realm of Computational Science. With a diverse background spanning & projects at industry-leading companies such as CEMOSA and Expleo Group, I have contributed to the technical advancement of European initiatives under the Horizon Europe Shift2Rail JU. My experience encompasses Python programming for Deep Learning modelling, development of ROUV technologies, optimization energy modelling, and data analysis. My key competencies encompass Computer Vision, Machine Learning, Deep Learning, Programming, Robotics, Automation, Big Data, and Data Science—areas in which I aim to continue innovating and delivering cutting-edge solutions.