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IEEE HEAD Workshop 2026 : 2nd Edition of IEEE HEAD Workshop - Healthcare Evolution through AI and Digital twins

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Link: https://www.head.icar.cnr.it/
 
When May 18, 2026 - May 21, 2026
Where Sydney
Submission Deadline Feb 1, 2026
Notification Due Feb 28, 2026
Final Version Due Mar 15, 2026
Categories    artificial intelligence   healthcare   ict infrastructure   digital twins
 

Call For Papers

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2nd Edition of IEEE HEAD Workshop - Healthcare Evolution through AI and Digital twins

Sidney, Australia, May 18-21, 2026

https://www.head.icar.cnr.it/

In conjunction with the 26th IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2026), in cooperation with ACM SIGHPC.

Submit your paper by using the link: https://easychair.org/conferences/submission_new?a=35582707

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MISSION:

Global investments in ICT for healthcare (eHealth) are rapidly increasing, with the market projected to reach $123.78 billion by 2030. Digital health is gaining worldwide attention as it improves service quality and access to health information, while reducing time, workload, and costs for providers.

Technologies such as AI, Digital Twins, Cloud, Edge/Fog computing, and IoT are driving this transformation, relying on heterogeneous infrastructures that combine IoT medical devices with High-Performance Computing (HPC) backends to support advanced models and patient-specific Digital Twins.

The HEAD workshop will address open challenges in applying these technologies, fostering interdisciplinary dialogue on how HPC, distributed systems, and performance optimization can enable scalable and reliable Digital Twins in healthcare. It will highlight computing infrastructures as key enablers of future digital medicine, linking algorithmic progress with architectural and systems-level innovations.

TOPICS:

Topics of Interest (including but not limited to):
- AI Algorithms and Learning Frameworks for Healthcare
- Modeling and Simulation Methodologies for Healthcare
- Programming Techniques and Architectures for Healthcare
- Data Management, Analytics, and Knowledge Extraction
- ICT Infrastructure and Tools for Healthcare Digital Twins
- Cloud Computing, Edge and Fog Computing for Healthcare
- Internet of Things (IoT), Big Data, and Wearable Devices for Healthcare
- Ethical, Legal, and Societal Implications of ICT for Healthcare
- Accelerator-based architectures (GPUs, NPUs, FPGAs and DPUs) for Healthcare
- Parallel and Distributed Training and Multi-GPU/Multi-Node Execution for Healthcare Applications
- Energy-Efficient, Sustainable, and Optimization-Oriented Computing for AI in Healthcare

IMPORTANT DATES:

- Submission deadline: February 01, 2026
- Notification of paper acceptance: February 28, 2026
- Submission of camera-ready papers: March 15, 2026 (firm)

PAPER SUBMISSION:

Manuscripts should describe original work and should be formatted according to the IEEE conference proceedings format. Papers will be submitted through the CCGrid 2026 submission system.
Submit your paper here: https://easychair.org/conferences/submission_new?a=35582707
All submissions will undergo a rigorous peer-review process. Each paper will be reviewed by at least three members of the Technical Program Committee. Reviews will be double-blind.
Accepted papers will be published in the CCGrid 2026 workshop proceedings and will be submitted for inclusion in IEEE Xplore.

BEST PAPER AWARD:

A Best Paper Award certificate will be conferred on the author(s) of a paper presented at the workshop, selected by the Chairs based on scientific significance, originality, and technical quality, as evaluated by the Program Committee.

**JOURNAL SPECIAL ISSUES**

Authors of selected papers will be invited to submit extended versions of their work to special issues in international journals indexed by Scopus and Web of Science.

Last year, the workshop received technical sponsorship from the World Federation on Soft Computing, which offered a fast-track publication opportunity in the Applied Soft Computing journal by Elsevier (Q1 - IF: 6.6). We hope that the sponsorship will also be replicated for this edition.

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