Seyed Majid Azimi is an electronics engineer and AI researcher. He obtained his M.Sc. in Computer Science in Saarland University during which he worked as a researcher assistance in the Computer Vision group of Prof. Schiele in Max-Plank Institute (MPI) for computer science working on the CityScapes dataset project with Daimler and published his master thesis in Nature.
During his Ph.D. in the Technical University of Munich (TUM) between 2017 and 2020, he carried out researches on the analysis of remote sensing data with deep learning algorithms for automatic detailed map generation including prooving the concept of automatic direct lane-marking extraction from aerial and satellite data.
Since 2016, he has been working as an AI researcher in the German Aerospace Center(DLR) developing AI algorithms for automatic aerial and satellite data understanding for HD-mapping and infrastructure monitoring.