IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks
6–8 November 2023 // Edinburgh, Scotland // Edinburgh Napier University

Edge Intelligence and Artificial Intelligence of Things (Edge AI & AIoT)

Internet of Things (IoT) devices produce an abundance of data from various sensors embedded in geographically distributed objects, ranging from environmental sensors to wearable devices and industrial sensors. This deluge of data has created a demand for innovative approaches to handle and extract valuable insights from the data at the edge of the network where the data is generated. By leveraging Edge Computing and Artificial Intelligence techniques, it becomes possible to process and analyze the data in real time, enabling timely and informed decision-making.

The special session aims to bring together researchers, practitioners, and industry experts to discuss recent advancements, challenges, and emerging trends in the field of Edge Intelligence (Edge AI) and Artificial Intelligence of Things (AIoT), with a specific emphasis on processing IoT and sensor data. It will provide a platform for sharing knowledge, exchanging ideas, and exploring novel applications, algorithms, architectures, and protocols in this rapidly evolving domain. The session recognizes the proliferation of IoT devices and the massive volume of sensor data generated, as well as the critical role of distributed processing in harnessing the potential of such data, enabling real-time decision-making and intelligent analysis at the network edge.

Topics of interest include, but are not limited to:

  • Edge computing architectures and platforms for AIoT
  • Machine learning and deep learning techniques for Edge AI
  • Distributed processing of IoT data at the edge
  • Federated Learning and distributed intelligence in edge computing
  • Heterogeneity and individualization challenges in distributed intelligence
  • Edge-based data analytics and decision-making for IoT applications
  • Resource allocation and management in Edge AI and AIoT
  • Fault tolerance and failure resilience in Edge AI and AIoT
  • Trustworthy, transparent, and explainable Edge AI and AIoT
  • Energy-efficient and sustainable Edge AI and AIoT
  • Privacy and security issues in Edge AI and AIoT
  • Performance evaluation and optimization of Edge AI and AIoT
  • Integration of Edge AI and AIoT with cloud, fog, and continuum computing
  • Integration of Edge AI and AIoT with emerging architectures, including non-Von Neumann computing
  • Edge AI-enabled communication protocols and sensor networks
  • Edge AI and AIoT for 
    • smart cities and urban environments,
    • healthcare and biomedical applications,
    • industrial automation and manufacturing,
    • autonomous vehicles and transportation systems,
    • environmental monitoring and sustainability.
  • Edge AI and AIoT applications in emerging domains


Special Session Chairs

Dr. Atakan Aral, Umeå University, Sweden (

Dr. Vincenzo De Maio, Vienna University of Technology (

Dr. Shashikant Ilager, Vienna University of Technology (

Prospective authors are invited to submit a full paper of not more than six (6) IEEE style pages including results, figures and references. Papers should be submitted via EDAS. Papers submitted to the conference, must describe unpublished work that has not been submitted for publication elsewhere. All submitted papers will be reviewed by at least three TPC members. All accepted and presented papers will be included in the conference proceedings and IEEE digital library.

Submit a Paper

Please see Special Session Description for the details.