About Workshop
The advancement of edge computing applications for human wellbeing embodies a forward-looking approach that integrates cutting-edge technology with a profound focus on enhancing human well-being. At its core, Edge computing recognizes the pivotal role of technology in addressing various aspects of well-being, including physical health, mental wellness, social connectedness, and environmental sustainability. Leveraging advancements in artificial intelligence, machine learning, Internet of Things (IoT), serverless computing, cloud, and data analytics, this approach seeks to empower individuals with personalized, proactive, and preventive solutions tailored to their unique needs and preferences.
Edge computing refers to the practice of processing data closer to its source rather than relying on centralized data centers. By deploying computational resources at the network edge, closer to where data is generated, processed, and consumed, edge computing enables faster response times, reduced latency, and enhanced guarantees on privacy and security. In the context of well-being, edge computing enables the development of intelligent systems that can seamlessly integrate with wearable devices, smart sensors, and other IoT devices to monitor vital signs, track activity levels, analyze sleep patterns, and provide real-time feedback and insights. These intelligent edge devices can empower individuals to take proactive steps towards improving their health and wellness, whether it's by encouraging physical activity, promoting better sleep hygiene, or managing stress levels.
This workshop especially welcomes multidisciplinary research that acknowledges the interconnectedness of various factors influencing well-being. This includes factors such as social determinants of health, environmental factors, access to healthcare services, and socioeconomic status. By leveraging data analytics and AI-driven insights, stakeholders can gain a deeper understanding of these complex relationships and develop targeted interventions to address disparities and improve overall well-being outcomes for all.
Call for Papers
In EDGE-WELL, we call for contributions advancing the state-of-the-art in leveraging Emerging Technologies that enable Intelligence at the Edge for Wellbeing Applications.. Moreover, we seek specific consideration of and approaches for the edge-cloud compute continuum in medical and e-health applications.
More specifically, topics of interest include, but are not limited to:
Applications in eHealth, Mobile and Pervasive Health
AI in Edge for Health applications
Service deployment for WellBeing
Blockchain on edge for WellBeing
Security on edge for WellBeing
Emerging devices and sensing modalities for wellbeing (e.g., AR/VR headsets, earables/hearables, voice, etc.)
Spatial computing for wellbeing activities
Emerging intelligence for wellbeing (e.g., LLMs for predictive healthcare)
Emerging architectures for processing data for wellbeing applications (at the edge, fog, cloud, serverless (FaaS), and anywhere in between)
Experimental testbeds on edge for WellBeing
Submission Instructions
All papers must be at most 6 pages of technical content, typeset in double-column IEEE format using 10pt fonts on US letter paper, with all fonts embedded. In EDGE-Well, the peer-review process will be double-blind.
Submissions must be made via EasyChair. The IEEE LaTeX and Microsoft Word templates and related information can be found on the IEEE Computer Society website.
EDGE-Well 2025 will be held in conjunction with IEEE PerCom 2026 (https://www.percom.org). All accepted papers will be included in the Percom workshop proceedings and indexed in the IEEEXplore digital library subject to the IEEE and PerCom 2026.
At least one author must register for the conference in full PerCom registration (no student rate) and present the paper during the workshop physically. Papers without a valid full registration or that are not presented in-person will be excluded from the proceedings.
Workshop papers must adhere to the standard length limit: 6 pages, with the option to include 1 additional page for a maximum of 7 pages total.
Workshop presentations—including papers, keynotes, and invited talks—must be delivered in person by a designated presenter, preferably one of the authors in the case of papers. Proxy or remote presentations are not allowed unless pre-approved by the workshop chairs, general chairs, and the steering committee at least one week in advance.
Submission link: TBD
[Select Emerging Intelligent eDGE for WELLbeing (EDGE-Well)]
Important dates
Paper Submission: November 17, 2025
Acceptance Notification: January 05, 2026
Author Registration Deadline: February 2, 2026
Final Version Submission Due: February 2, 2026 (Firm)
Contacts:
For questions related to EDGE-WELL 2026 workshop, please write to edgewell.percom@gmail.com.