Pavlos received his bachelor's degree from the department of Digital Systems in 2016 at the University of Piraeus, Greece. He completed an MSc in Advanced Security and Digital Forensics in 2019 at Edinburgh Napier University and is currently a PhD Student in Privacy-Preserving Systems around Trust and Identity in the School of Computing at Edinburgh Napier University. Pavlos is a member of the Blockpass Identity Lab, and he is also involved in assisting lectures related to operating systems, network security, penetration testing, incident response and malware analysis. Pavlos participated in Diffusion Berlin hackathon with a team composed of Blockpass Identity Lab's students winning the "Identity and beyond with Hyperledger - Best Business Impact of Digital Credentials" and "Machine Learning in the Decentralised World" awards. His current research interests include cybersecurity, distributed ledger technology and privacy-preserving machine learning. Pavlos' research interest in distributed ledger technology focuses on the permissioned blockchain framework, Hyperledger Fabric. By utilising the privacy-preserving features of this technology, Pavlos published a number of journal papers related to the "Passive DNS analysis" and the "Healthcare" industry. Additionally, Pavlos is involved in the development of a private federated machine learning infrastructure on vertically distributed data (such as data for the same individuals split among different healthcare providers). Moreover, his recent publications include a phishing URL detection system, a distributed trust framework for privacy-preserving machine learning and a survey of privacy-preserving infection tracking and contact tracing infrastructures.