Daniel Amigo

Daniel Amigo is a PhD student at Universidad Carlos III de Madrid, in Computer Science and Technology. In 2019 he completed a double Master’s degree in Computer Engineering and Computer Science and Technology and a bachelor’s degree in Computer Engineering in 2017 also at Universidad Carlos III de Madrid. He is involved in several related research projects on traffic tracking and surveillance. His current lines of research are the compression and segmentation of trajectories, the geolocation of real-world objects and its conversion into virtual environments for simulation tools.