Call for Papers



AI-Driven Security and Modeling for Wireless and Mobile Healthcare Systems (AI-SMARTHealth 2026)



Workshop co-located with the International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2026)



Conference web page https://smarthealth.ai-efd.com/
Submission link https://easychair.org/conferences/?conf=aismarthealth2026

Workshop Scope
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.

The workshop particularly encourages contributions that:

Bridge AI and wireless/mobile system design
Address network-aware intelligence and performance constraints
Propose secure and scalable architectures for healthcare applications
Include modeling, simulation, or experimental evaluation
Building on the success of previous initiatives (e.g., AI-EFD’25 at IEEE HealthCom), this edition places stronger emphasis on wireless infrastructures, system modeling, and performance analysis, in line with MSWiM’s core themes.



Topics of Interest
Topics include, but are not limited to:

Wireless and Mobile Healthcare Systems
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 for Wireless and Mobile Healthcare 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


Cybersecurity and Privacy
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


Distributed and Edge Intelligence
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, Simulation, and Performance Analysis
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


Sensing and Data Integration
Multi-modal data fusion (physiological, behavioral, environmental)
Ambient intelligence and context-aware healthcare
Integration of heterogeneous sensing platforms


Trustworthy and Explainable AI
Explainability and interpretability in healthcare AI
Bias, fairness, and ethical considerations
Human-in-the-loop decision systems


System Evaluation and Deployment
Benchmarking and datasets for wireless healthcare systems
Real-world deployment and experimental validation
Robustness, reliability, and user acceptance


Emerging Directions
Digital twins for healthcare systems
Extended reality (XR) in healthcare environments
AI-driven telehealth and remote monitoring


Submission Guidelines
Papers must be original and unpublished, and not submitted elsewhere.
Submissions should follow the MSWiM conference formatting guidelines (IEEE format).
Full papers are expected to be 6-8 pages, including references.
All submissions will undergo peer review based on originality, technical quality, relevance, and clarity.
Accepted papers will be included in the MSWiM 2026 Workshop Proceedings.



Important Dates
Paper Submission Deadline: July 17, 2026
Notification of Acceptance: August 4, 2026
Camera-Ready Submission: August 14, 2026
Workshop Date: October 26, 2026 (co-located with MSWiM 2026 (Conf Rank A))


Organizers
· Moustafa Fayad, Junior Professor (chaire de professeur junior), SINERGIES (UR 4662), University of Marie & Louis Pasteur, France, moustafa.fayad@univ-fcomte.fr

· Ahmed Mostefaoui, Associate Professor - HDR, Femto-ST (UR 6174), University of Marie & Louis Pasteur, France, amostefa@femto-st.fr

· Mohammed Amine Merzoug, Associate Professor – HDR, Department of computer science, University of Batna 2, Algeria, amine.merzoug@univ-batna2.dz

Contact
For inquiries, please contact the workshop organizers.