The Second Workshop on Edge-Integrated Mobile Sensing and Applications (EdgeSense)
In conjunction with the Tenth ACM/IEEE Symposium on Edge Computing (SEC), DC
Overview
Mobile and edge-integrated sensing is emerging as a transformative paradigm that connects ubiquitous devices, edge computing platforms, and intelligent applications. By embedding sensing capabilities into mobile and edge environments, it enables data collection, analytics, and decision-making with reduced latency, lower energy consumption, and enhanced privacy. Edge-integrated sensing empowers novel applications in healthcare, human-computer interaction, autonomous systems, extended reality, and smart cities, while also raising unique challenges in security, privacy, efficiency, and scalability.
The EdgeSense workshop aims to bring together researchers, practitioners, and industry leaders to explore the latest advances and future directions in edge-enabled mobile sensing. We seek to foster cross-disciplinary discussions at the intersection of mobile sensing, edge intelligence, security, and application-driven design.
Topics of Interest
We invite original research contributions and visionary ideas on edge-integrated mobile sensing, including but not limited to:- Edge sensing system/network
- AI-enabled edge sensing
- Edge sensing multimodal data intelligent processing
- Resource management and allocation optimization for edge and mobile sensing
- Edge sensing intelligence for IoT/IIoT/IoE
- Mobile sensing for human activity recognition, behavior monitoring, and well-being
- Application-driven case studies: healthcare, public safety, IoT, smart environments
- Secure, robust, and privacy-preserving mobile sensing at the edge
- Generative AI for mobile sensing and mobile sensing for Gen AI
- Lightweight AI models and efficient inference for edge/mobile devices
- Datasets, benchmarks, and reproducibility in mobile-edge sensing research
Submission Guidelines
- Format: PDF submissions in English, viewable without errors.
- Length: Up to 4 single‑spaced pages, including figures and tables, excluding references, in two‑column format, Times or similar font. Templates for LaTeX and Word can be found at the IEEE template site: https://www.ieee.org/conferences/publishing/templates.html
- Registration: At least one author of each accepted paper must register and attend the workshop.
- Submission Website: https://edgesense2025.hotcrp.com/
- Please note that camera-ready papers must conform to the most recent ACM template, including the bibliographic and copyright strip. For more details, please refer to the camera-ready instructions page
Travel Support
The cost of travel will be covered for attendees participating in the workshop.The travel reimbursement process will be provided to each workshop attendee once confirmed the attendance.
Important Dates
Submission Deadline: October 24, 2025 October 27, 2025
Acceptance Notification: October 26, 2025 October 29, 2025
Camera-ready Deadline: November 1, 2025
Workshops Date: December 6, 2025
Workshop Organizers
Yingying Chen, Rutgers University
Yan Wang, Temple University
Xiaonan Guo, George Mason University
Jerry Cheng, New York Institute of Technology
Program
13:30 - 13:40
Opening Remarks
Session 1: Edge Sensing on Mobile and VR Testbeds
13:40–14:00
VR Testbed for Vital Sign Monitoring Using Motion Sensor Data
Presenter: Tianfang Zhang
14:00–14:20
Re-programmable Device Authentication Using Wearable Vibration Sensing Testbeds
Presenter: Bo Fan
14:20–14:40
Mobile Edge Testbed for Driving Behavior Data Collection and Cognitive Impairment Analysis
Presenter: Honglu Li
14:40–15:00
VR Testbed-based Blood Pressure Privacy Leakage Analysis
Presenter: Weiyi Jin
15:00–15:15
Break
Session 2: Edge Sensing on Wireless Testbeds
15:15–15:35
EdgeSynapse: Towards Leaky-Spike Transmission for Sustainable Edge Sensing
Presenter: Atakan Aral
15:35–15:55
Exploring Cross-Environment modeling and Robustness in Palm-based User Authentication using mmWave Testbed
Presenter: Yucheng Xie
15:55–16:15
mmWave Testbed for Data Collection and Model Sharing in Contactless Concentration Monitoring System
Presenter: Wenrui Zhao
16:15–16:35
Robust Point Cloud Recognition Model Sharing
Presenter: Qiufan Ji