Fisheries Assessment and Advice Programme
Fisheries Advice Group
Fisheries Data Analyst
Marine Scotland Science, Marine Laboratory, 375 Victoria Road, Aberdeen, AB11 9DB, UK
Details of specialism
My current research is mainly concerned with the development and testing of Remote Electronic Monitoring (REM) systems on board commercial fishing vessels. My previous role involved investigating the epidemiology of infectious disease and pathogens (Parasites, Viruses and Bacteria) in farmed and wild fish populations.
External committees and responsibilities
I collaborate with scientists across the UK, Europe and North America, most notably as a member of the ICES Working Group on Technology Integration for Fishery-Dependent Data and the SMARTFISH H2020 innovation for sustainable fisheries project.
My current collaboration is with computer scientists from the University of East Anglia.
Papers of relevance
French, G, Mackiewicz, M, Fisher, M, Holah, H, Kilburn, R, Campbell, N and Needle, CL (2019) Deep neural networks for analysis of fisheries surveillance video and automated monitoring of fish discards. ICES Journal of Marine Science 77, 1340-1353.
Kilburn R, Murray, AG, Hall M, Bruno DW, Cockerill D and Raynard RS (2012) Analysis of a company’s production data to describe the epidemiology and persistence of pancreas disease in Atlantic salmon (Salmon salar L.) farms of Western Scotland. Aquaculture 368-369, 89-94.
Kilburn R, Gregory A and Murray AG (2012) Using a Marcov-Chain Monte-Carlo modeling approach to identify the relative risk to farmed Scottish Rainbow Trout (Oncorhychus mykiss) in a multi-sector industry of Viral Haemorrhagic Septicaemia Viruses from introduction and emergent sources. Ecological Modelling 237-238, 34-42.
Details of linked research pages
Marine Scotland Science
PO Box 101
375 Victoria Road
+44 (0)131 244 2500