Mohamed Hedi Turki

Mohamed Hedi Turki is a Deep Learning Research and Development Engineer at Diota since October 2019, focusing on machine learning architectures applied to augmented reality within Industry 4.0. Previous experience includes an internship at Diota where object point of view estimation was performed using Faster R-CNN and 6D pose estimation with CNN methodologies. At the Centre de recherche en numérique de Sfax, several internships were completed, involving optimization of C++ solutions for 6D pose estimation, implementation of CNNs using Darknet and Pytorch, and estimating olive tree properties from Sentinel-2 images. Mohamed Hedi Turki holds a Bachelor's degree from École Nationale d'Electronique et des Télécommunications de Sfax, along with prior education at INSAT and lycée pilote sfax.