The workshop addresses challenges in traditional IoT systems where the interaction between sensing and computing resources follows predefined patterns, leading to fixed collaboration modes and limited adaptability. This impedes effective coordination between perception and computation in highly dynamic scenarios. With the deep integration of artificial intelligence, edge computing, and intelligent hardware into the Internet of Things (IoT), Artificial Intelligence of Things (AIoT) emerges as a crucial development trend. Key to AIoT is the continuous enhancement of intelligent sensing and computing resources at the edge. On one side, the "edge" possesses rich modalities for intelligent perception, and on the other, the "end" features dynamically heterogeneous intelligent computing capabilities. The synergy between sensing and computing becomes pivotal in maximizing hardware capabilities, improving real-time system responsiveness, and empowering adaptive and self-evolving AIoT systems.

Call for Papers

With the continuous development and miniaturization of smart chips, processors, and sensor devices, mobile devices are increasingly endowed with intelligent data processing and analysising capabilities. These devices can perform partial data processing and intelligent inference tasks under resource limitation, supporting the enhancement of real-time computing in AIoT (Artificial Intelligence of Things) and the protection of data privacy. The integration of IOT(Internet of Things) and AI (Artificial Intelligence) can better utilize local sensory data for computational optimization. Utilizing local sensory data, AI models can be updated personally, thereby improving the collection and analysis of information and enhancing the quality of human life. Ideally, computation and perception should be mutually complementary and efficiently collaborative. However, in reality, achieving an adaptive and reliable AIoT system that integrates sensing and computing remains challenging. Maintaining computational robustness in constantly changing environments, adapting to the resource limitation of IoT devices, updating AI models through local data, and adapting to the energy constraints of IoT devices are significant challenges. This workshop provides an opportunity for researchers and system developers to discuss the design, development, deployment, use of algorithms and models, distributed systems and algorithms, task scheduling, and other aspects in intelligent IoT systems. Papers on the theory, practice, and methodological issues related to intelligent IoT are welcome.

Topics of interest include (but are not limited to)

  1. Ubiquitous connectivity communication paradigms
  2. Novel AIoT applications
  3. Techniques and systems for novel human-machine interactions and experiences
  4. Low-power wireless protocols and designs
  5. System-level energy management for AIoT systems
  6. System services such as time and location estimation
  7. Energy harvesting and management
  8. Adaptive update strategy for artificial intelligence algorithms on IoT devices
  9. Mobile and pervasive systems with networked sensing
  10. AI-based edge resource scheduling
  11. Distributed algorithm based on sensors and drone clusters
  12. Distributed heterogeneous sensor data fusion
  13. Task allocation methods for swarm intelligence perception
  14. Task offloading strategies between AIoT devices
  15. Collaborative Computing for AIoT
  16. Knowledge evolving with AIoT systems
  17. Resource-efficient sensing and computing on AIOT devices
  18. Optimization Method for Distributed Data Transmission
  19. Multi-agent systems
Submission requirements:
  1. Call for papers: poster 2 pages, short papers <=6 pages, and full papers<= 16 pages.Submissions should be in PDF format.The accepted papers will be included in the IEEE Proceedings. Submission is anonymous.
  2. Call for Academic Presentations: Submissions should be in PDF format, including a personal profile, presentation title, and an abstract of the report.Submission is anonymous.
  3. Call for Presentations of Papers Accepted by Top Conferences: Submissions should be in PDF format, containing the full paper, details of the conference where it was accepted, and a brief profile of the presenter.Submission is anonymous.
  4. Call for Panel Chairs, Themes, and Panelists: Submissions should be in PDF format, including personal profiles and interested topics.Submission is anonymous.

Sumission Site:, If you have any questions regarding the workshop, please contact TPC chairs (Sicong Liu, Zimu Zhou, Bin Guo )

Important Dates:

  • Registration Deadline: 3 Mar, 2024, 11:59 AM UTC 10 Mar, 2024, 11:59 AM UTC
  • Paper Submission Deadline: 3 Mar, 2024, 11:59 AM UTC 10 Mar, 2024, 11:59 AM UTC
  • Notification: 20 Mar 2024
  • Camera ready: 22 Mar 2024, 11:59 AM UTC
  • Workshop date: 13 May 2024

  • Organizing Committee

    Technical Program Committee

    (List is ordered in alphabetical order)
    TPC Members Chenren Xu, Peking University
    Chenshu Wu, The University of Hong Kong
    Chris Xiaoxuan Lu, University of Edinburgh
    Longfei Shangguan, University of Pittsburgh
    Dong Ma, Delft University of Technology
    Olga Saukh, TU Grazbr
    Shijia Pan, UC Merced
    Wan Du, UC Merced
    Edith Ngai, The University of Hong Kong
    Guohao Lan, Delft University of Technology
    Xiuzhen Guo, Zhejiang University
    Meng Jin, Shanghai Jiao Tong university
    Xingda Wei, Shanghai Jiao Tong university
    Pengfei Wang, Dalian University of Technology
    Huihui Chen, Fuzhou University
    Zhidan Liu, Shenzhen University