Cameron Trotter
Machine Learning Research Scientist
Biography
I am a Machine Learning Research Scientist within the Artificial Intelligence (AI) Lab and the Palaeo Environments, Ice Sheets and Climate Change (PICC) team at BAS, applying computer vision to detect and classify organisms in benthic imagery as part of The past, present and future of unique cold-water benthic ecosystems in the Southern Ocean project.
I was awarded a PhD by Newcastle University for my thesis entitled ‘Towards Automatic Photo-Identification of Cetaceans: A Fine-Grained, Few-Shot Problem in Marine Ecology‘. My research focused on utilising deep computer vision to aid cetacean ecology. I developed a framework for detecting and classifying individual cetaceans in unprocessed field imagery, capable of flagging previously uncatalogued individuals through the use of latent space embeddings.
I also received my MRes in Cloud Computing for Big Data and my MComp in Computer Science from Newcastle University.
Research interests
- Computer Vision
- Fine-Grained Classification
- Few-Shot Learning
- Computational Ecology
- Marine Environments
Collaborations
Publications from NERC Open Research Archive
- The evolution and ecology of Antarctic sea floor communities
- Artificial Intelligence (AI) Lab
LinkedIn: Cameron Trotter