Daniel Hernández Ferrándiz received the B.Eng. and M.Sc. in Industrial Electronics and Automatics in 2016 and 2018 from the Universitat Politècnica de València (UPV). From 2018 to 2019 he worked (7 months) as a researcher in the Robotics and Automation Research Group of the Automatic and Infomatic Institute (AI2) at UPV. Since September 2019 he is working as a researcher and studying computer vision and deep learning in the Universidad Rey Juan Carlos (URJC). Some of his current fields of interest are the following: collaborative and industrial robotics, computer vision and deep learning applied to crowd counting.
Daniel Hernández
Blog for Robotic vision