AI-Driven Sensing Systems for Healthcare Applications
Co-Chairs:
Dr. Syed Aziz Shah – Research Centre for Intelligent Healthcare, Coventry University, UK
Dr. Sanaullah Jan – School of Computing, Edinburgh Napier University, UK
Dr. Umer Saeed – School of Computer Science and Technology, University of Bedfordshire, UK
Acceptance Notification: 15 October 2025
Scope of the Special Session:
This special session focuses on recent advances in AI-powered sensing technologies designed to address challenges in modern healthcare systems. With the rise of intelligent systems capable of continuous, contactless, and context-aware monitoring, this session invites high-quality research papers that demonstrate the integration of artificial intelligence with sensing modalities—such as radar, wearable devices, vision systems, and wireless networks—for health diagnostics, monitoring, and intervention.
The session will feature paper presentations covering novel methodologies, system designs, and real-world deployments that highlight the role of AI in enhancing the accuracy, efficiency, and accessibility of healthcare services. Researchers and practitioners are encouraged to present work that bridges the gap between sensing hardware, machine learning algorithms, and clinical applications.