Damien Sicard received the Engineer’s degree (MSc) in Energy from University of Technology of Belfort-Montbéliard, Belfort (UTBM), France, in 2019. Since September 2019 he is a Ph.D. student in Physics-Chemistry (CIFRE french fellowship) inside the French company Diamatec and two research institutes, The Carnot de Bourgogne Interdisciplinary Laboratory (ICB) and the Institute “Franche-Comté Electronics Mechanics Thermal Science and Optics – Sciences and Technologies” (FEMTO-ST). His main research areas include Scientific Computing, Powder Metallurgy and Artificial Intelligence (AI) for computer vision, with a special emphasis in hyperparameters optimization, neural architecture search and high performance machine learning: toward marking AI-based system easier to use, more efficient and sustainable.