Lukáš studied Applied Informatics at the Faculty of Mathematics, Physics, and Informatics since 2016, where he received his master’s degree in 2021. He is currently a PhD student at the same faculty, researching methods of RGB-D data processing with machine learning. Specific topics include: artifact filtering, object pose estimation, surface reconstruction, super-resolution, and surface fusion. The goal of his dissertation is to tackle these problems in an industrial setting with sparse real-data availability. He aims to increase the robustness and trustworthiness of models in this setting by closing the Sim2Real gap with the successful usage of rendered data.