Post Assessment Summary for EDGE-Well 2025
We launched the maiden version of EDGE-Well workshop with IEEE PerCom 2025. EDGE-Well was organized as a half-day workshop on March 21, 2025.
This version of EDGE-Well had 4 Organizing Committee Members —
Dr. Sougata Sen (BITS Pilani, Goa, India) - General Chair
Dr. Sourav Kanti Addya (NIT Surathkal, India)
Dr. Dheryta Jaisinghani (University of Northern Iowa, USA)
Dr. Kasthuri Jayarajah (New Jersey Institute of Technology, USA)
The technical program had two keynote talks; one invited talk and five research paper presentations. Our keynote speakers, Prof. Sajal K. Das (Missouri University of Science and Technology, USA) and Dr. Nirupam Roy (University of Maryland, College Park, USA), talked about cutting-edge research being conducted at the intersection of edge computing and artificial intelligence with a special focus in health care domains. Dr. Das enlightened us with their contributions to using federated learning for systems and theory development for personalized health management solutions, specifically focusing on survival analysis. Dr. Roy continued to add to our learnings by talking about his research group's amazing contributions to spatial sensing for various edge applications.
We also had the privilege of listening to Dr. Shantanu Pal (Deakin University, Australia), who discussed his contributions to developing trustworthy systems for the Internet of Things.
The workshop has five accepted and presented papers.
Accelerating Medical Image Analysis on Edge Devices: A Study with MobileOne Architecture
CITRUS: Cost and Ischemia Time Reduction using Urban Air Mobility Solutions for Organ Transport
Can A Smartwatch Tell, If You Are Brushing Your Teeth Correctly?
SensorGPT: A New Paradigm for Synthetic Sensory Data Generation
OPTIMIST: Opportunistic Federated Transfer Learning for Mobile Devices Using Sequential Independent Subnetwork Training,
We had a rigorous peer review conducted by a competitive technical program committee from across the globe. Each paper received three reviews. Papers from the organizing committee were not reviewed by this committee; instead, the overall workshops co-chairs had a separate conflict of interest track for such papers whose review process was solely managed by the overall workshops co-chairs. Our TPC members were - Akhil Mathur (Meta AI), Anh Nguyen (University of Montana, USA), Anurag Satpathy (Missouri University of Science and Technology, USA), Hai Truong (Singapore Management University, Singapore), Kristof Van Laerhoven (University of Siegen, Germany), Lakmal Meegahapola (ETH Zurich, Switzerland), Manasa Kalanadhabhatta (University of Massachusetts Amherst, USA), Meera Radhakrishnan (University of Technology Sydney, Australia), Mukulika Maity (Indraprastha Institute of Information Technology Delhi, India), Rohit Verma (Intel Labs, India), Soumyajit Chatterjee (Nokia Bell Labs, Cambridge, United Kingdom), Tahera Hossain (Nagoya University, Japan), Tanya Shreedhar (TU Delft, Netherlands), Thivya Kandappu (Singapore Management University, Singapore), Varun Mishra (Northeastern University, Boston, USA), Vignesh Subbaraju ( A*STAR Singapore).
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 2025 (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 2025. At least one author must register for the conference in full and present the paper during the workshop physically.
Submission link: https://easychair.org/my/conference?conf=percom2025
[Select Emerging Intelligent eDGE for WELLbeing (EDGE-Well)]
Important dates
Paper Submission: November 17, 2024 December 1, 2024 (Firm)
Acceptance Notification: January 08, 2025 January 10, 2025
Author Registration Deadline: February 2, 2025
Final Version Submission Due: February 2, 2025 (Firm)
Contacts:
For questions related to EDGE-WELL 2025 workshop, please write to edgewell.percom@gmail.com.