Ektor Arzoglou

Ektor Arzoglou serves as a Doctoral Student and Visitor (Doctoral Researcher) in the School of Electrical Engineering at an institution (university not explicitly named), working within the Networked Systems research group. His research employs system dynamics to analyze privacy paradoxes in social media and digital business platforms, with a focus on user behavior modeling and system interactions.

His primary research areas include System Dynamics, Privacy, Business Platforms, Distributed Ledger Technology, Internet of Things, and Mobile Operating Systems. He investigates the structural causes behind privacy paradox phenomena, platform competition dynamics between iOS and Android ecosystems, and resilience mechanisms for IoT federations using distributed ledger technology. His methodological approach consistently applies system dynamics to model complex behavioral and technical interactions.

Analysis of his publication timeline (2019-2023) reveals an evolution from mobile platform analysis to sophisticated privacy paradox modeling and IoT security applications. His work demonstrates strong interdisciplinary integration between computer science, behavioral modeling, and system theory, with increasing emphasis on real-world implications of privacy decisions and platform design.

As part of the Networked Systems research group, his contributions advance understanding of complex networked systems through quantitative modeling of user-platform interactions, with implications for privacy engineering, platform governance, and resilient IoT architectures.