Short Bio

I am a computer vision researcher in Magic Pony, Twitter, where we are working on innovative video compression and enhancement. My research interests are on modern acquisition and modelling techniques for an efficient handling and interpretation of data that is either impractical or expensive to collect and process.

In 2015 I completed my Ph.D. studies in the Biomedical Image Analysis (BioMedIA) group at Imperial College London under the joint supervision of Prof. Daniel Rueckert and Prof. Jo V. Hajnal. The objective of my work was to reduce magnetic resonance imaging scan time with compressed sensing reconstruction algorithms.

Before joining the BioMedIA group, I received an M.Eng. degree in Electrical and Electronic Engineering and an M.Sc. in Communications and Signal Processing both from Imperial College London. My thesis looked at efficient acquisition techniques for neural spike sorting and was supervised by Dr. Pier Luigi Dragotti.

Imperial College London BioMedIA Magic Pony Technology Twitter

Research

Selected publications

Real-time video super-resolution with spatio-temporal networks and motion compensation
CVPR 2017

Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
CVPR 2016

Dictionary learning and time sparsity for dynamic MR data reconstruction
TMI 2014

Dictionaries for fast and informative dynamic MRI acquisition
Ph.D. Thesis, 2015