Review on condition monitoring techniques for water pipelines
Dr Jawwad Latif introduces recently published research into current and emerging condition monitoring tools for water pipelines.
Dr Jawwad Latif
Dr Jawwad Latif is a data scientist in IoT and machine learning who has been working with FIDO since June 2020 as part of an Innovate UK funded Knowledge Transfer Partnership (KTP) project with the University of the West of Scotland.
His research interests include the development of leak detection systems in underground water pipes involving static and dynamic sensing techniques and artificial intelligence, advanced machine learning and signal processing. Dr Latif is a member of IET.
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Seven good reasons leak location is best done in the cloud
Dr Jawwad Latif, FIDO’s KTP associate from the University of the West of Scotland, and the data scientist behind FIDO’s Cloud Correlation breakthrough discusses seven ways cloud-based processing has key advantages over traditional correlators.