Dr Robert E. Blackwell
Data Scientist and Research Software Engineer.
Rob is an environmental data scientist and research software engineer at the The Centre for Environment, Fisheries and Aquaculture Science, (CEFAS), Lowestoft, UK. He is a visiting research fellow at the Alan Turing Institute.
Modern marine science is increasingly data intensive. High-resolution instruments can generate terabytes of data per day, bringing challenges for data acquisition, compression, transmission, storage, management, and processing. Rob helps scientists to implement data intensive scientific computing solutions using bespoke software development, computer vision, machine learning, modelling, edge AI, cloud computing, and data analysis.
The Alan Turing Institute Podcast. Turing deployment at sea: identifying plankton in real time.
Alan Turing Institute Data Study Group Final Report: Centre for Environment, Fisheries and Aquaculture Science Plankton image classification
Blackwell, R.E, 2020. Real-time reporting of marine ecosystem metrics from active acoustic sensors. University of East Anglia PhD thesis.
Blackwell, R.E., Harvey, R., Queste, B.Y. and Fielding, S., 2019. Colour maps for fisheries acoustic echograms. ICES Journal of Marine Science. (Supplementary software and data.).
Blackwell, R., Harvey, R., Queste, B. and Fielding, S., 2019. Aliased seabed detection in fisheries acoustic data. arXiv preprint arXiv:1904.10736. (Supplementary software.).
Blackwell, R., 2016. Can satellite synthetic aperture radar be used to detect and classify offshore installations?. Cranfield University MSc thesis.
Albakour, M. D., Blackwell, R.E., Kruschwitz, U., Lucas, S., 2009. Managing Collaboration Projects using Semantic Email Search. SemSearch 2009, Madrid, Spain.
Ordinary Telegrapher AER Rowe
World Jamboree 1929
You can reach him via Email, Github, Twitter, Linked in,