The presentation was conducted in a hybrid format, with part of the audience present in the Nexus room and the remainder connected through Zoom. The seminar comprised a presentation covering both his completed and planned projects, followed by a discussion and questions posed by his opponent, Prof. Saikat Chatterjee.
The presentation commenced with an overview of his concluded projects. The first project involves handling incomplete medical datasets using neural networks and is published in ‘Machine Learning: Science and Technology.‘ It then transitioned to his second project, focusing on the development of software for brain connectivity analysis using multilayer graphs and deep learning. The corresponding repository is accessible on GitHub. In the final segment, he outlined the proposed continuation of his PhD, discussing an ongoing project centered around the deep learning analysis of longitudinal brain neural imaging data.