I am a DPhil (PhD) student in the Machine Learning Systems Group at the University of Oxford under the supervision of Nic Lane. I am also a member of Linacre College. My research focuses on designing deep neural network architectures that can run efficiently under very constrained platforms, such as microcontrollers, often ussed in IoT devices and wearables. In particular, I am interested in designing network architectures that, in combination with compression techniques, enable the deployment of complex models on constrained setups where energy is the main limitation factor (e.g. devices running on batteries). My up-to-date (Dec. 2018) resume can be found here.
I completed my B.Sc in Telecommunication Engineering at TECNUN, University of Navarra (Spain), in 2014 and a M.Sc in Computer Vision at Queen Mary University under the supervision of Prof. Andrea Cavallaro in 2015. Prior to starting my DPhil, I worked as a computer vision engineer at: Hawk-Eye (Sony), where I improved their multi-camera calibration and player tracking software; and at Holition, an award-winning creative studio where I co-designed and implemented augmented reality applications for the fashion retail sector.
I can also be reached at —> javier [dot] fernandezmarques [at] cs.ox.ac.uk