Fraunhofer Institute for Computer Graphics Research IGDHasan Kutlu holds a bachelor's degree in Applied Mathematics from Hochschule Darmstadt, which he obtained in 2017. For this, he developed a Monte Carlo simulation to analyze the tolerance behavior of components in a HUD display. He then pursued a master's degree in Data Science at the same institution to further enhance his skills in working with data. In collaboration with the IGD, he successfully completed his Master of Science degree in 2020, focusing on optimizing and expanding the capabilities of the MesoScanner V2, a 3D scanner used for digitizing fine surface structures.
Currently, Hasan Kutlu is employed at IGD in the CHD department, where he actively contributes to the MesoScannerV2 and CultArm3D project teams. These projects involve various areas such as structured light methods (combined with lens shift techniques), photogrammetry and photometric stereo, as well as the integration of machine learning and AI techniques into the latest scanning technologies.