Gregory G. Slabaugh is Professor of Computer Vision and AI and Director of the Digital Environment Research Institute (DERI) at Queen Mary University of London. He is also a Turing Fellow at the Alan Turing Institute. He earned a PhD in Electrical Engineering from Georgia Institute of Technology in Atlanta, USA. Previously, he was Chief Scientist in Computer Vision (EU) for Huawei Technologies R&D, and other prior appointments include City, University of London, Medicsight, and Siemens. He holds 36 granted patents and has approximately 175 publications. In 2021 he is an Area Chair for the International Conference on Computer Vision (ICCV) and reviewing for numerous computer vision and machine learning conferences (CVPR, NeurIPS, ICLR) and related journals.

Selected Publications

DeepLPF: Deep Local Parametric Filters for Image Enhancement, Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory Slabaugh, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction, Guang Yang, Simiao Yu, Hao Dong, Greg Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon Arridge, Jennifer Keegan, Yike Guo, David Firmin IEEE Transactions on Medical Imaging (TMI), 2018.

SPNet: Shape Prediction using a Fully Convolutional Neural Network, and supplementary material SMMR Al Arif, K Knapp, G Slabaugh, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.

You can find a complete listing of publications in Google scholar and by following this link.

Potential PhD / doctoral students

If you are interested to study for a doctorate at Queen Mary, please contact me at g.slabaugh@qmul.ac.uk to discuss in more detail. Note Queen Mary currently has some funding programmes open, including:

• CDT in Data Centric Engineering for individuals doing workplace-based research. This will only cover home fees.