Alberto earned their PhD in Information Technology Research from the University of Santiago de Compostela with a thesis on high-performance computing and artificial intelligence applied to point cloud processing.
As part of their work in the 3DGeo research group at Universität Heidelberg, they have developed the widely used HELIOS++ operational laser simulation software, funded by multiple projects from the Deutsche Forschungsgemeinschaft and the German Ministry of Education and Research. They have also developed the VL3D framework of artificial intelligence for point clouds, providing both classical machine learning methods and neural networks specifically designed to work in unstructured data spaces.
Throughout their research career, they have worked on various applied problems in collaboration with universities, companies, and institutions. Some examples of use cases include road surface analysis, vegetation studies, multiclass classifications in urban environments, 3D pedestrian detection, or prehistoric tumulus detection. In addition to different applications, they also have experience working with various types of LiDAR data, including aerial, mobile, terrestrial, unmanned, and simulated.