Contact details
Address
Northampton Square
London EC1V 0HB
United Kingdom
About
Overview
Vasilis is a Ph.D. student at the Artificial Intelligence Research Centre at City, University of London ( https://cit-ai.net/). He is researching how to best leverage Federated Learning techniques for Medical Image Analysis under the supervision of Dr. Giacomo Tarroni and Dr. Jonathan Passerat-Palmbach.
His research focuses on developing Multi-Task Learning methods that enable Federated Learning models to be personalised to each participant in a federation, be that institutions or end-users. The emergent commodification of personal data is an issue that affects everyone, hence his interest in any and all things related to Federated Learning.
Before embarking on his Ph.D. journey, he received an MSc with distinction from Imperial College London in Artificial Intelligence and Machine Learning; his thesis was on the intersection between Federated and Reinforcement Learning. Before that, he studied Electrical and Computer Engineering, with a focus on telecommunications, at the Aristotle University of Thessaloniki, receiving his MEng with honours.
Outside of academia, he is a passionate drone and landscape photographer, and a traveller.
Qualifications
- MSc, Imperial College London, United Kingdom, 2020 – 2021
- MEng, Aristotle University of Thessaloniki, Greece, 2013 – 2019
Publications
Publications by category
Conference paper/proceedings
- Naval Marimont, S., Baugh, M., Siomos, V., Tzelepis, C., Kainz, B. and Tarroni, G. (2024). DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. IEEE International Symposium on Biomedical Imaging 2024 27-30 May, Athens, Greece.