Alex previously worked as a senior research fellow at Cardiff University and as a consultant in industrial control and automation. Alex received his PhD in engineering from Cardiff University in the area of Robotics and Machine Vision. His current interests include application of machine learning for extracting new insights from available data, harnessing the power of distributed computation for transforming big data into smart data with focus on open source tools and exploring new methods for data discovery and analysis. Alex is generally interested in all things deep learning and seeks to apply these frontier technologies for solving real world problems.
A report on the quality and methodology of data used to produce extent and change of surface water statistics for reporting on Sustainable Development Goals indicator 6.6.1 for the UK.
Read more on Quality and methodology: Extent and change of surface water statistics
In this blog, we describe how we have assessed the quality of the novel Global Surface Water Explorer (GSWE) dataset to better understand its value and fitness-for-purpose, producing data to report the UK’s position on indicator 6.6.1.
Read more on Using satellite imagery to report changes to water bodies for SDG 6.6.1
This article summarises further development we have carried out to improve the timeliness and relevance of the shipping indicators, in response to feedback from our users.
Read more on Faster indicators of UK economic activity: more timely and relevant shipping indicators
We explore whether it is possible to classify financial corporations to their detailed Standard Industry Classification 2007 (SIC2007) using financial assets, liabilities and other firm-level data.
Read more on FinBins – granular classification of the UK’s financial sector
The maritime freight industry is of critical importance to the economic output of the UK, with almost half a billion…
Read more on Analysing port and shipping operations using big data