معرفی
Dr M Aristodemou is a Research Associate in the Department of Computer Science at the University of York, affiliated with the Cyber Security & Privacy Research Group. Their work focuses on Artificial Intelligence security, distributed learning, and privacy-preserving technologies. They hold a PhD in Security of Artificial Intelligence from Loughborough University, preceded by an MEng in Systems Engineering. Their research emphasizes real-world applications of AI in healthcare monitoring and edge computing environments, with a particular interest in federated learning and energy-efficient systems.
Key research themes include securing AI systems against adversarial attacks, designing low-energy edge devices for on-device personalization, and applying machine learning to analyze healthcare time-series data for neurological conditions. Their contributions span theoretical frameworks for privacy metrics and practical implementations in IoT and wearable technologies.
Recent projects include the PRISM framework for healthcare IoT security and AI auditing methodologies. Their work bridges academic research with clinical applications, aiming to improve patient outcomes through intelligent monitoring systems while maintaining strict privacy standards. Collaboration on EU-funded initiatives and industry partnerships underscores their commitment to translating research into actionable solutions.
