The project has as its aim to automate the counting of passengers on public transport using timewise, depth-image sequences (using both Supervised and Semi-Supervised Methods). The goal is to reliably estimate how many objects (human or otherwise) use any mode of transportation by counting how many enter and exit through each viable door. Within this project, I was responsible for supervising the labelling of video streams from an organised team and then preparing and analysing the dataset.

Erasmus placement/internship on the project “Computational modelling of auditory steady-state response deficits in patients with schizophrenia” in Neural Information Processing Group in Technical University of Berlin supervised by Prof. Dr. rer. nat. Klaus Obermayer

Research Assistant on the project “Biometric Authentication through Muscle Triggering Functions” at the Institution ,Human Opsis (Patras, Greece)