IEEE ICEdge 2025 : First IEEE Conference on Intelligent Computing and Systems at the Edge

The tremendous progress in Artificial Intelligence (AI) and Internet of Things (IoT) technologies has opened up fresh possibilities for innovation and enhanced system-level efficiency across diverse vertical spaces in the technologies involved. The confluence of intelligence, pervasiveness, and energy efficiency, fueled by artificial intelligence of things (AIoT), is paving the way for a new era of intelligent systems capable of real-time sensing, processing, energy-efficient secure communication and actuation, eventually resulting in improved system-level decision-making and resource optimization at the Edge. This conference on Intelligent Computing and Systems at the Edge seeks to unite researchers, practitioners, and industry experts to exchange their most recent discoveries, experiences, and insights in the exciting domain of AIoT and System Development at the Edge.

The general topics of interest for the conference include, but are not limited to:
- Emerging Sensing Technologies for Edge IoT
- Computing Architectures and Technologies at the Edge
- Tiny Machine Learning for the Edge
- Generative AI for Edge IoT
- AI and IoT for the Metaverse
- Energy-efficient and Secure Communication Techniques for AIoT Systems
- Emerging AI algorithms and architectures for IoT systems
- Machine learning and deep learning for IoT systems
- AI-driven IoT security and privacy concerns and solutions
- AI-based Industrial IoT data analytics/visualization
- IoT-enabled AI applications, involving smart cities, smart homes, smart cars, etc.
- Natural language processing and conversational AI for the Edge
- AIoT applications in robotics and industrial automation
- Scalability, performance, and energy efficiency in AIoT systems at the Edge
- Intelligent Battery and Power Management for AIoT systems
- Ethical considerations and need for Standards in AIoT Systems

Tracks:
Track 1: Devices and Circuits for Edge Applications
Computing Circuits and Techniques for AIoT Systems
Emerging Sensing Devices and Circuits for Edge IoT
Memory Technologies for AIoT at the Edge
New Communication Circuits and Techniques for AIoT Systems
Other Devices and Circuits for Edge Applications

Track 2: Hardware Systems and Architectures at the Edge
Energy Efficiency, Scalability and Performance Trade-offs in AIoT Systems at the Edge
Machine learning and deep learning for IoT systems
Communication Systems and Architectures for AIoT
Computing Systems and Architectures for AIoT
Intelligent Battery and Power Management for AIoT systems
Intelligent Sensing Systems and Architectures for Edge IoT
Other Hardware Systems and Architectures at the Edge

Track 3: EDA Tools, Systems and Software for Edge AIoT
Natural language processing/conversational AI/GPT for the Edge
New AI Algorithms and Architectures for IoT systems
New EDA Tools for Edge AIoT Application Development
Other areas in EDA Tools, Systems and Software for Edge AIoT

Track 4: Emerging Technologies and Applications at the Edge
IoT-enabled AI applications, involving smart cities, smart homes, smart cars, etc.
AI and IoT for the Metaverse
Edge Applications involving On-Device/Tiny Machine Learning
Generative AI Applications for Edge IoT
Other Emerging Technologies and Applications at the Edge

Track 5: Security, Privacy, and Ethical Concerns and Solutions for AIoT at the Edge
Ethical considerations and need for Standards in AIoT Systems
Hardware-Focused Security and Privacy Attacks/Solution
Hardware-Software Co-Design for Security and Privacy
Software-Focused Security and Privacy Attacks/Solution

Track 6: Industrial Design and Applications of AIoT
AI-based Industrial IoT data analytics/visualization
AIoT Applications in Robotics and Industrial Automation
AIoT for Manufacturing at Scale
Other Areas of Industrial Design and Applications of AIoT


Submission guidelines:

- Submissions must be anonymous for a double-blind review. Authors’ names, affiliations, or any other identifying information must not appear in the manuscript. References to the authors’ prior work must be cited in the third person. Phrases such as “omitted for blind review” are not allowed in the reference section. PDF metadata must not include any author information. Non-compliant submissions will be rejected without review.
- Manuscripts must follow the IEEE template and not exceed 6 pages (excluding references). References may be included within the 6-page limit or on one additional page. The templates can be downloaded from: https://www.ieee.org/conferences/publishing/templates.
- Please maintain the specified margins and line spacing and using a double-column format in 9- or 10-point font.
- Submissions must be in PDF format, readable, and adhere to the template requirements.
- Submissions must be anonymous for a double-blind review.
- The lead author must obtain consent from all co-authors and provide their information correctly.
- According to the IEEE Publication Services and Products Board Operations Manual, the use of AI-generated content (including but not limited to text, figures, images, and code) shall be disclosed in the acknowledgments section. The AI system used needs to be identified, as well as the specific section of the article that uses AI (including the use of AI for editing and grammar).

Submission link: https://cmt3.research.microsoft.com/ICEDGE2025

Conference Proceedings
All accepted papers will be published in IEEE Explore digital library. The program committee will select the top papers in each track for (1) Best Paper Award and (2) Best Student Paper Award.


Important Dates
- Paper Submission Deadline: July 15, 2025, 23:59 AoE
- Author Notification: August 30, 2025, 23:59 AoE
- Camera-Ready Submission: September 20, 2025, 23:59 AoE
- Conference Dates: December 18–20, 2025

Important Links
- Conference website: https://icedge.org/
- Full list of tracks: https://icedge.org/full-list-of-tracks/
- Author guidelines: https://icedge.org/call-for-papers-guidelines/
- Submission guidelines: https://icedge.org/submission-guidelines/
- Submission portal: https://cmt3.research.microsoft.com/ICEDGE2025