[CFP] IEEE International Conference on Artificial Intelligence of Things (IEEE AIoT 2025), Osaka, Japan
Zhengxin Yu
*** Please accept our apologies if you receive multiple copies of this CFP ***
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CALL FOR PAPERS & Call for Workshop Proposals
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IEEE International Conference on Artificial Intelligence of Things
(IEEE AIoT 2025), Dec. 3-5, 2025, Osaka, Japan
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Call for Papers
Important Dates:
Paper Submission Due: 1 July 2025
Notification of Acceptance: 3 October 2025
Final Manuscript (Camera Ready): 3 November 2025
Submission Link: https://easychair.org/my/conference?conf=ieeeaiot2025
Call for Workshop Proposals
https://ieee-aiot.org/2025/cf-workshops.php
The deadline for submission is May 20, 2025 (AoE).
All workshop proposals should be submitted electronically to: aiot2025...@googlegroups.com
IEEE AIoT 2025 aims at bringing together interested parties (universities, research centers, industries and stakeholders) from around the world working in the fields of AI and Internet of Things to exchange opinions, discuss brand-new ideas, developing innovative and emerging solutions, and establishing new collaborations.
Artificial Intelligence (AI) and the Internet of Things (IoT) are two of the most rapidly evolving and interdependent fields of technology. The convergence of these two fields is leading to the creation of an emerging interdisciplinary field, dubbed the Artificial Intelligence of Things (AIoT). The AIoT represents the integration of AI technologies into IoT systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. By combining IoT with AI, the data collected by distributed nodes can be utilized by applying AI techniques such as machine learning and deep learning. As a result, machine learning capabilities are moved closer to the data source.
The IEEE AIoT Conference aims to explore the integration of artificial intelligence (AI) technologies into the Internet of Things (IoT) systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. The conference will focus on the following areas:
l AIoT Architectures, Frameworks, and Algorithms: Developing novel AIoT architectures, frameworks, and algorithms for deploying state-of-the-art machine learning and deep learning algorithms on IoT and edge devices, realising the so-called Edge AI or Edge Intelligence;
l AIoT Applications: Identifying and exploring new AIoT applications, including healthcare, smart homes, industrial automation, transportation, and digital agriculture;
l Standards and Interoperability: Developing standards and protocols for AIoT systems and ensuring interoperability between different platforms and devices; and
l Ethics and Security: Addressing ethical and security concerns related to AIoT, such as privacy, transparency, and accountability.
Authors are cordially invited to submit their original papers within the AIoT area to the following 5 Tracks.
Track 1: Big Data Analytics and IoT Applications
https://ieee-aiot.org/2025/track1.php
Track Chairs: Hamada Rizk Osaka University, Japan
Constandinos Mavromoustakis University of Nicosia, Cyprus
Jordi Mongay Batalla Warsaw University of Technology, Poland
Topics:
· Scalable data analytics for IoT ecosystems
· Real-time data processing and stream analytics
· IoT-enabled smart cities and urban planning
· Predictive maintenance using IoT and machine learning
· Edge and fog computing for IoT applications
· Cybersecurity and privacy-preserving analytics in IoT systems
· AI-driven insights from IoT-generated big data
· Blockchain for secure IoT networks
· Smart healthcare applications with IoT and big data
· Industrial IoT (IIoT) for manufacturing and supply chain optimization
· Advanced data mining techniques for massive data
Track 2: AI for IoT Communications and Networking
https://ieee-aiot.org/2025/track2.php
Track Chairs: Huihui Wang Northeastern University, USA
Sandip Chakraborty Indian Institute of Technology Kharagpur, India
Jehad Ali Ajou University, South Korea
Topics:
· AI-enhanced Authentication for IoT Devices
· AI-based Access Control for IoT
· AI for Truth Verification and Management in IoT
· AI for Data Privacy in IoT Devices and Services
· Federated Learning in IoT Security
· Edge-Deployed AI Security in IoT
· Incentive Strategies for AI Interaction in IoT
· AI Applications for Smart City IoT Security
· Data Security for AI-powered IoT
· Attacks Prevention in Software-Defined IoT leveraging AI
· Security in SD-IoT leveraging AI
· Privacy-enhancing Technologies in Intelligent IoT Systems
· AI-enabled Attacks and Defenses for IoT Devices and Services
· AI for Communication Security of IoT Devices
· Malware Analysis for Intelligent IoT
· Vulnerability Analysis for AI-integrated IoT Devices
· Intelligent Forensics Tools, Techniques, and Procedures for IoT
· Emerging Data Bias Security Issues in Intelligent IoT Systems
· Lightweight Hardware Verification in Intelligent IoT Systems
Track 3: Edge, Cloud, and Fog Computing in IoT
https://ieee-aiot.org/2025/track3.php
Track Chairs: Chih-Yu Wang Academia Sinica, Taiwan
Anna Maria Vegni Roma Tre University, Italy
Cristian-Nicolae Buțincu Gheorghe Asachi Technical University, Romania
Topics:
· Resource management and allocation in Edge-Fog-Cloud for IoT
· Joint scheduling and optimization of networking and distributed computing resources for IoT
· Edge/fog computing and network services architecture for IoT
· IoT Middleware for cloud/fog computing applications
· Resource slicing in the IoT computing continuum
· Autonomic distributed service and network management
· Business models for the IoT computing continuum
· QoS/QoE management for static and mobile IoT applications in Edge-Fog-Cloud
· Machine learning and distributed learning for edge-fog-cloud resource management for IoT
· Distributed learning deployment, management and applications for IoT
· DNN Partitioning and Offloading in Edge-Fog-Cloud for IoT
· AI Models (including LLMs) with edge-fog-cloud computing: inference and training
· IoT-enabled Edge Intelligence
· AI empowered autonomous edge intelligence for IoT
· Edge Computing Architectures and Protocols for IoT
· Cloud and Fog Computing for Scalable IoT Systems
· Fog Computing as an IoT Middleware
· Fog and Edge Networking in IoT
· Security and Privacy for IoT in Edge, Cloud, and Fog Computing
· Latency Optimization and Real-time Processing in IoT
· AI and Machine Learning in Edge, Cloud, and Fog IoT
· IoT Data Management and Distributed Storage
· Energy-Efficient IoT Systems with Edge and Fog Computing
· IoT Integration with 5G and Next-Generation Networks
· IoT in Smart Cities: Leveraging Edge, Cloud, and Fog Computing
· IoT Application Case Studies
· Industrial IoT (IIoT) and Edge, Cloud and Fog Computing
· Interoperability and Standardization in IoT Computing Models
· Next-Generation Computing Models for IoT
Track 4: Security, Trust, Privacy in AI and IoT
https://ieee-aiot.org/2025/track4.php
Track Chairs: Jiawei Yuan University of Massachusetts Dartmouth, USA
Saed Alrabaee United Arab Emirates University, UAE
Thomas Tan Edinburgh Napier University, UK
Topics:
· AI-enhanced Authentication for IoT Devices
· AI-based Access Control for IoT
· AI for Truth Verification and Management in IoT
· AI for Data Privacy in IoT Devices and Services
· Federated Learning in IoT Security
· Edge-Deployed AI Security in IoT
· Incentive Strategies for AI Interaction in IoT
· AI Applications for Smart City IoT Security
· Data Security for AI-powered IoT
· Privacy-enhancing Technologies in Intelligent IoT Systems
· AI-enabled Attacks and Defenses for IoT Devices and Services
· AI for Communication Security of IoT Devices
· Malware Analysis for Intelligent IoT
· Vulnerability Analysis for AI-integrated IoT Devices
· Intelligent Forensics Tools, Techniques, and Procedures for IoT
· Emerging Data Bias Security Issues in Intelligent IoT Systems
· Lightweight Hardware Verification in Intelligent IoT Systems
· Side-Channel Attacks and Defense in Intelligent IoT Systems
· The implications of machine unlearning for security, trust, and privacy in AI and IoT
Track 5: Ubiquitous IoT: Space, Air, Ground, and Sea
https://ieee-aiot.org/2025/track5.php
Track Chairs: Farhad Rezazadeh Centre Tecnològic de Telecomunicacions de Catalunya, Spain
Andrii Shalaginov Kristiania University College, Norway
Rajkumar Singh Rathore Cardiff Metropolitan University, UK
Topics:
· Energy-efficient tinyML for critical applications
· Trustworthy AI for autonomous vehicles
· Federated Learning in mission control and decision support
· Satellite-enabled communication for Ubiquitous IoT platforms
· 5G/6G network slicing for civil and military platforms
· AI-assisted Cyberwarfare in Beyond Visual Line of Sight (BVLOS) communications
· Securing AI-enabled IoT and OT platforms
Paper Format and Submission
IEEE AIoT 2025 invites submission of manuscripts with original research results that have not been previously published or posted on public websites or that are not currently under review by another conference or journal. Submitted manuscripts must be prepared according to IEEE Computer Society Proceedings Format (double column, 10pt font, letter paper) and submitted in the PDF format. The manuscript submitted for review should be no longer than 8 pages. After the manuscript is accepted, the camera-ready paper may have up to 10 pages, subject to an additional fee per extra page. Reviewing will be double-blind. Submissions must not reveal the authors’ names and their affiliations and avoid obvious self-references. Manuscripts should be submitted to one of the research tracks. Submissions not meeting these guidelines will be rejected without consideration of their merits. Accepted and presented papers will be published in the IEEE AIoT 2025 Conference Proceedings and included in IEEE Xplore.
Submission Link: https://easychair.org/my/conference?conf=ieeeaiot2025
Important Dates:
Paper Submission Due: 1 July 2025
Notification of Acceptance: 3 October 2025
Final Manuscript (Camera Ready): 3 November 2025
Organization Committee
General Chairs:
Ruidong Li, Kanazawa University, Japan
Albert Zomaya, Sydney University, Australia
Henry Leung, University of Calgary, Canada
TPC Chairs:
Houbing Herbert Song, University of Maryland, USA
Hirozumi Yamaguchi, Osaka University, Japan
Hung-Yu Wei, National Taiwan University, Taiwan
Pietro Manzoni, Universidad Politécnica de Valencia, Spain
Keynote Chair:
Reza Malekian, Malmö University, Sweden
Workshop Chairs:
Yutaka Arakawa, Kyushu University, Japan
Andrea Sciarrone, University of Genoa, Italy
Poster Chairs:
Takuro Yonezawa, Nagoya University, Japan
Chiara Garibotto, University of Genoa, Italy
Publication Chair:
Jia Hu, University of Exeter, U.K.
Publicity Chairs:
Zhengxin Yu, Lancaster University, U.K.
Mostafa Fouda, Idaho State University, ID, USA
Zhibo Wang, Zhejiang University, China
Web Chair:
Haihan Nan, George Mason University, USA
Financial Chairs:
Peiying Colleen Ruan, Nvidia, Japan
Ting Yang, Kanazawa University, Japan