Ben Evans
Machine Learning Research Scientist
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Ben Evans
Machine Learning Research Scientist
Biography
Ben joined the BAS AI lab in 2021 from the University of Cambridge where he received his BA, MA, MPhil and PhD and was involved as a Research Assistant/Associate in three large consortium projects. He is interested in using data-driven methods to understand and predict process interactions in biophysical sytstems. He has worked extensively with spatial data and Earth Observation as well as geospatial modelling. During his PhD he developed machine learning models to predict morphodynamic change in coastal ecosystems and at BAS is working primarily on detection and tracking of icebergs in the Southern Ocean while contributing to a range of other science projects across the organisation.
Research interests
Collaborations
Publications from NERC Open Research Archive
2023
Evans, Ben ORCID record for Ben Evans, Faul, Anita ORCID record for Anita Faul, Fleming, Andrew ORCID record for Andrew Fleming, Vaughan, David G. ORCID record for David G. Vaughan, Hosking, J. Scott ORCID record for J. Scott Hosking. (2023) Unsupervised machine learning detection of iceberg populations within sea ice from dual-polarisation SAR imagery. Remote Sensing of Environment, 297 (). 15 pp. 10.1016/j.rse.2023.113780
2022
Reents, Svenja, Möller, Iris, Evans, Ben R. ORCID record for Ben R. Evans, Schoutens, Ken, Jensen, Kai, Paul, Maike, Bouma, Tjeerd J., Temmerman, Stijn, Lustig, Jennifer, Kudella, Matthias, Nolte, Stefanie. (2022) Species-specific and seasonal differences in the resistance of salt-marsh vegetation to wave impact. Frontiers in Marine Science, 9 (). 15 pp. 10.3389/fmars.2022.898080
Evans, B.R. ORCID record for B.R. Evans, Brooks, H, Chirol, C., Kirkham, M.K., Möller, I., Royse, K., Spencer, K., Spencer, T.. (2022) Vegetation interactions with geotechnical properties and erodibility of salt marsh sediments. Estuarine, Coastal and Shelf Science, 265 (). 12 pp. 10.1016/j.ecss.2021.107713
- AI for Earth Observation
- Digital Twins of the Polar Regions
- Vegetation interactions with geotechnical properties and erodibility of salt marsh sediments
2023
Using AI to track icebergs
News 23 November, 2023