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Mr Georgios Pilikos

Mr Georgios Pilikos

Research student


Biography:

I am a PhD student at the Laboratory for Scientific Computing (LSC) under the supervision of Dr Anita Faul, funded by the EPSRC and BP. My current research interests include Bayesian Inference, Compressive Sensing and Feature Learning applied to Geophysics. Before joining the LSC, I received an MEng in Information Engineering from the Department of Electrical and Electronic Engineering at Imperial College London. There, I worked on human detection and tracking in video using Support Vector Machines. I am interested in Machine Learning in general and I am lecturing a course for the MPhil in Scientific Computing on Unsupervised Learning (clustering, dimensionality reduction, feature learning and sampling). In addition, I am interested in large-scale algorithmic implementation using CUDA for GPGPUs.

Key Publications

Georgios Pilikos and A.C. Faul (2016), "Relevance Vector Machines with Uncertainty Measure for Seismic Bayesian Compressive Sensing and Survey Design", in 15th IEEE International Conference on Machine Learning and Applications (ICMLA)

A.C. Faul and Georgios Pilikos (2016), "The model is simple, until proven otherwise - how to cope in an ever changing world", in Data for Policy, Frontiers of Data Science for Government