Background and activities

Postdoc researcher working on automating and embedding methods in microscopy into mobile robotic platforms, for real-time targeted plankton-taxa identification and classification, that feeds the process of autonomous navigation control and mapping, which assists in modeling oceanographic phenomena. A new framework for this task is under development. Examples of ML methods explored are listed but not limited to: Mask-RCNN and attention segmentation to perform real-time segmentation; Learning the Bag-of-features to better classify identified objects; Active learning to minimize the labeling task effort; C-GAN to solve the class imbalance problem; and, methods of unsupervised learning to identify unknown extracted objects in-situ.

Scientific, academic and artistic work

Displaying a selection of activities. See all publications in the database

Journal publications