Research Theme

Fog Data Analytics 

Fog Data Analytics aims to improve how Internet of Things applications that have strict latency or processing requirements can leverage machine learning and artificial intelligence algorithms without the need for heavy processing power. As many ML/AI algorithms often consist of a pipeline or aggregation of data processing, this topic examines these pipelines and distributes processing as close to the edge as possible. The effect is to bring intelligence right to the edge.  

We are developing technology in a wide set of use cases, with a strong focus on applications in precision agriculture and precision livestock farming.  

Dr. Stepan Ivanov

Research Fellow

Dr. Deirdre Kilbane

Senior Research Fellow

Darren Lenniston 

Junior Software Developer

Dixon Vimalajeewa

Postdoctoral Researcher

David Ryan 

Senior Software Research Engineer


All TSSG projects related to the Fog Data Analytics research theme




Smart Agri Hubs

Smarter Aquaculture


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