About us

AI-SMARTHealth 2026 is a workshop co-located with the International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2026). The workshop aims to bring together researchers and practitioners from wireless and mobile systems, AI, cybersecurity, and healthcare technologies to explore novel approaches for the design, modeling, analysis, and deployment of secure and intelligent digital-health systems.

Important Dates

Fri, Jul 17, 2026
Paper Submission Deadline
Tue, Aug 4, 2026
Notification of Acceptance
Fri, Aug 14, 2026
Camera-Ready Submission
Mon, Oct 26, 2026
Workshop Date

Call For Paper

Wireless and mobile healthcare systems
Ai for healthcare systems
Cybersecurity and privacy
Distributed and edge intelligence
Wireless sensor networks, body area networks, and IoT in healthcare
Communication protocols for mobile health systems
Resource allocation, routing, and scheduling in healthcare networks
QoS/QoE provisioning for healthcare applications
Energy-efficient and reliable communication in medical systems
AI-driven health monitoring and decision support over wireless systems
Machine learning and deep learning for biomedical signals and images
Reinforcement learning for adaptive and personalized healthcare
Network-aware AI and communication-efficient learning
Threat detection and anomaly detection in healthcare networks
Security of IoT medical devices and wearable systems
Adversarial machine learning in healthcare
Privacy-preserving techniques (federated learning, differential privacy, homomorphic encryption)
Secure data sharing and access control
Edge computing and federated learning in healthcare systems
On-device intelligence for mobile and wearable devices
Real-time analytics under resource constraints
Distributed AI for large-scale healthcare deployments
Modeling and simulation of wireless healthcare systems
Performance evaluation (latency, reliability, scalability, energy efficiency)
Analytical and stochastic modeling of healthcare networks
Simulation frameworks for large-scale IoT healthcare systems
Trade-offs between communication, computation, and learning
Multi-modal data fusion (physiological, behavioral, environmental)
Ambient intelligence and context-aware healthcare
Integration of heterogeneous sensing platforms
Explainability and interpretability in healthcare AI
Bias, fairness, and ethical considerations
Human-in-the-loop decision systems
Benchmarking and datasets for wireless healthcare systems
Real-world deployment and experimental validation
Robustness, reliability, and user acceptance
Digital twins for healthcare systems
Extended reality (XR) in healthcare environments
AI-driven telehealth and remote monitoring

The AI-SMARTHealth 2026 workshop aims to bring together researchers and practitioners from wireless and mobile systems, AI, cybersecurity, and healthcare technologies to explore novel approaches for the design, modeling, analysis, and deployment of secure and intelligent digital-health systems. Papers must be original and unpublished, 6-8 pages, in IEEE format.

Committee

Organizers

Moustafa Fayad

Junior Professor (chaire de professeur junior)

SINERGIES (UR 4662), University of Marie & Louis Pasteur, France

Ahmed Mostefaoui

Associate Professor - HDR

Femto-ST (UR 6174), University of Marie & Louis Pasteur, France

Mohammed Amine Merzoug

Associate Professor – HDR

Department of computer science, University of Batna 2, Algeria