FedHealthSecure
A federated learning framework that detects ransomware across healthcare networks without sharing patient data or relying on known signatures.
Atlantic Technological University
Lead: Shagufta Henna
Healthcare & Medical Applications
Shagufta Henna
Translational Researcher
Atlantic Technological University
Projects: FedHealthSecure, 6GOrch, RanControl
Dr. Shagufta Henna is a Lecturer in the Department of Computing at ATU Donegal, holding a Bachelor's (Hons), Master's, and PhD in Computer Science. She lectures in Artificial Intelligence, Big Data Analytics, and Deep Learning at the postgraduate level, with a research focus on graph-based deep learning in cloud and edge computing. Dr. Henna has a strong record of translational research, having contributed to an SFI TIDA-funded project, completed pre-commercialisation training through SFI CONNECT and NDRC, and led sandbox trials with Ericsson on GNN-based autoscaling.She has established key industry collaborations with Ericsson, Dell, and Red Hat, refining product integration within commercial environments. Her entrepreneurial experience includes business case development, customer discovery, and defining commercialisation pathways.
Last updated: 25 September 2026
Research themes
Research Programmes
6GOrch
Optimises how 6G networks allocate computing resources at the edge, so demanding services like autonomous vehicles run reliably on constrained hardware.
Atlantic Technological University
Lead: Shagufta Henna
Digital Infrastructure
RanControl
Reinforcement learning xApps that let Open RAN networks adapt to new tasks without forgetting previous ones, supporting diverse 5G service demands.
Atlantic Technological University
Lead: Shagufta Henna
Digital InfrastructureReady to start collaborating?
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