CLOSED: Call for Papers: Special Section on Emerging Edge AI for Human-in-the-Loop Cyber Physical Systems

IEEE TETC seeks submissions for this upcoming special issue.
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Submissions Due: 31 January 2024

Important Dates

  • Submission Deadline: 31 January 2024

Publication: Late 2024

Edge AI allows us to offer distributed AI models, optimize computational and energy resources, reduce communication needs and, above all, comply with privacy requirements for IoT applications. Since data always remains on end-devices and only model parameters are exchanged with the server, it becomes thus possible to take advantage of extensive data collected through smartphones and IoT devices without jeopardizing user’s privacy. However, FL solutions have their recognized weaknesses. In particular, since the systems that consider human behavior are becoming increasingly critical, most future technologies will need to consider human awareness. Indeed, we are witnessing unparalleled advancements in technology that empower our tools and devices with intelligence, sensory abilities, and communication features. At the same time, continued advances in the miniaturization of computational capabilities enable us to go beyond the simple tagging and identification, towards integrating computational resources directly into these objects, thus making our tools “intelligent”. Yet, there is scarce scientific work that considers humans as an integral part of these IoT-powered cyber-physical systems. 

 This special section aims to explore the potential of intelligent systems and computational platforms ranging from smartphones and IoT devices to wearables and electronic tattoos that people use daily to create not just an “Internet of Things”, but an “Internet of All Things.” This concept encompasses a broader, socio-technological network that factors in human elements like actions, behaviors, skills, emotions, and motivations, thus integrating the average user deeper into the larger scale systems.

Authors are invited to submit manuscripts to the special section on Emerging Edge AI for Human-in-the-Loop Cyber Physical Systems. Relevant topics of interest to this special section include (but are not limited to):

  • Foundations of Human-in-the-Loop Cyber Physical Systems
  • EdgeAI-Human-IoT Interactions 
  • Federated Learning for EdgeAI
  • Context-Aware Applications and Services
  • Cloud-edge Continuum
  • Security and Privacy
  • Prototypes, Field Experiments, Testbeds

Submission Guidelines

The papers submitted to this special section must include new significant technical contributions that fall within the scope of the journal. Contributions describing an overall working system and reporting real world deployment experiences are particularly of interest. The submissions must include clear evaluations of the proposed solutions (based on simulation and/or implementations results) and comparisons with state-of-the-art solutions. 

For additional information please contact the Guest Editors by sending an email to  Papers under review elsewhere are not acceptable for submission. Extended versions of published conference papers (to be included as part of the submission together with a summary of differences) are welcome, but there must have at least 40% of new impacting technical/scientific material in the submitted journal version and there should be less than 50% verbatim similarity level as reported by a tool (such as CrossRef). 

Guidelines concerning the submission process, LaTeX and Word templates can be found here.

While submitting through ScholarOne, at  please select the option “Special Section on Emerging Edge AI for Human-in-the-Loop Cyber Physical Systems“.

As per TETC policies, only full-length papers (10-16 pages with technical material, double column – papers beyond 12 pages will be subject to MOPC, as per CS policies -) can be submitted to special sections. The bibliography should not exceed 45 items and each Author’s bio should not exceed 150 words.  

Questions? Contact the guest editors at

  • Radu Marculescu, University of Texas at Austin, USA (IEEE Fellow)
  • Jorge Sá Silva, University of Coimbra, Portugal (IEEE Senior Member)