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EPSRC Institutional Sponsorship Grant 2016 - Small Partnership Awards

last modified Nov 30, 2016 10:29 AM
Mohamed Zaki and Abdul Rauf Khan from the CSA awarded a fund to investigate the application of advanced Big Data methods in manufacturing industry.

The research will use inferential analysis based on existing large sensory data. The aim of this project is to improve the production through reliable predictions on the performances of the products that are subjected to several stages of testing and hence shortening the time of testing for an individual product. The research will have access to terabytes of mixed data continuously generated by the sensors at each stage of the testing procedure. Efficient handling of these data sets is itself proven to be a challenging.

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Rare-events classification: An approach based on Genetic Algorithm and Voronoi Tessellation

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by Abdul Rauf Khan, Mohamed Zaki, Henrik Schiøler, and Murat Kulahci. The paper was accepted at 'The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)', a leading international conference in the areas of knowledge discovery and data mining (KDD). In this paper, Mohamed and co-authors propose a novel strategy for data mining based on partitioning of the feature space through Voronoi tessellation and Genetic Algorithm, where the latter is applied to solve a combinatorial optimization problem.

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