IEEE AIoT 2024 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 interdiscipline 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.

Submission Guidelines

Perspective authors are invited to submit their papers using Easychair. A full paper should not have more than six (6) IEEE style pages including results, figures and references. One (1) extra page is allowed with an extra charge of $100. Papers will be reviewed with the standard reviewing procedure (with at least 3 independent anonymous reviews). All of the accepted papers will be published on IEEE Xplore®. Articles selected for publication in journals must meet the conditions against self-plagiarism.

Manuscript templates can be found here. All submissions to AIoT 2024 must be uploaded to Easychair.

List of Topics

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:

• 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;
• AIoT Applications: Identifying and exploring new AIoT applications, including healthcare, smart homes, industrial automation, transportation, and digital agriculture;
• Standards and Interoperability: Developing standards and protocols for AIoT systems and ensuring interoperability between different platforms and devices; and
• 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 eHealth area. The topics include but are not limited to:

• Edge Computing and Intelligence in AI and IoT
• Machine Learning for IoT Applications
• Mobile deployment of LLMs
• LLMs for AIoT applications
• Smart Cities: AI and IoT Solutions
• Security and Privacy in AI-driven IoT Systems
• 5G and its Impact on AI and IoT
• Blockchain Technology for Securing IoT Devices
• Human-Machine Interaction in IoT Environments
• IoT Sensors and Actuators: Innovations and Advances
• AI-driven Predictive Maintenance in IoT
• Energy-Efficient AI Algorithms for IoT Devices
• IoT in Healthcare: Applications and Challenges
• Industrial IoT (IIoT) and AI for Manufacturing
• Smart Agriculture: AI and IoT in Precision Farming
• Ethical Considerations in AI-powered IoT Systems
• IoT Standards and Interoperability
• Robotic Process Automation (RPA) in IoT
• AI-driven Automation in Supply Chain Management
• IoT Analytics and Big Data Processing
• AI in Edge Devices: Challenges and Solutions
• Wireless Sensor Networks in AI and IoT
• IoT for Environmental Monitoring and Sustainability
• AI and IoT in Transportation and Logistics
• Cross-domain Integration of AI and IoT Technologies

Important Dates:

Paper Submission: 20 April 2024

Notification of Acceptance: 10 June 2024

Final Manuscript (Camera Ready): 3 July 2024

Committees

General Chairs

• Wei Xiang, La Trobe University, Australia

TPC Chairs

• Dusit Niyato, Nanyang Technological University, Singapore

• Ruidong Li, Kanazawa University, Japan

Contact

All questions about submissions should be emailed to liruidong@ieee.org