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

Paper Submission

Research Paper Submission Tracks

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

Call for Papers Description

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.