My technical background is a mechanical engineer turned software developer and machine/deep learning engineer and researcher. More recently, I have exlored a bit more of social sciences with a focus on social development and healtcare.
I like programming and my work has mostly revolved around different applications of machne learning and deep learning. I am also currently quite interested in (web) application development, data engineering, and DevOps.
You can find more about my work and education on my LinkedIn. This page primarily acts as a supplement to that.
My main contributions were annotation of the m2caiTool dataset, training and evaluation of various neural network architectures including GANs for synthetic data generation as well as capusle networks for semantic segmentation, as well as writing the complete paper. This core content of the paper was completed in 2018.
My main contributions were the complete annotation of the Fish4Knowledge dataset, trying out different background subtraction algorithms inlcuding Convolutional Neural Networks (CNNs), as wel as writing the literature review and method section of the paper.
I worked on the entire deep learning (CNN) section of the paper, from selection and training of the neural networks to writing that part of the paper.