AI Powered Human-centric Computing with Cloud/Fog/Edge

Submission Deadline: 01 October 2023 Submit to Special Issue

Guest Editors

Dr. Hongyang Yan, Guangzhou University, China.
Dr. Arif Ali Khan, University of Oulu, Finland.
Dr. Yanwei Xu, Tianjin University, China.
Dr. Maqbool Khan, Software Competence Center Hagenberg, Austria.
Dr. Wajid Rafique, University of Calgary, Canada.


In the past decade, human-centric computing (HCC) has emerged as a cross-disciplinary research domain that enables the effective integration of various human-related computational elements, benefiting the interactions and collaborations among the physical devices, cyber space and people significantly. Through intelligent HCC techniques, software and hardware engineers can develop various human-computer applications conveniently to satisfy the users’ sophisticated functional and non-functional requirements. However, HCC applications have been generating an unprecedented volume of industrial data and therefore, require the support of powerful computing and storage infrastructures. Fortunately, modern computing paradigms, e.g., cloud, fog and edge, provide a promising way to provision HCC applications the cloud/fog/edge resources in an economic and flexible manner. The adaption of cloud/fog/edge computing to HCC applications is a fundamental challenge and raise a variety of issues, e.g., time-efficient data transmission, energy-aware resource offloading, secure communications & collaborations, and so on.

Recently, Artificial Intelligence (AI) has emerged as one of the key technologies to realize intelligent cloud/fog/edge data processing. AI algorithms have the capability to process the streaming data generated at cloud/fog/edge networks, and provide powerful tools to deal with complex big data analytics. Therefore, the adaptation of AI-based methods is highly demanded to achieve their full potentials in cloud/fog/edge-based HCC applications. The security and privacy issues also call for efforts in order to guarantee service quality delivered by cloud/fog/edge-based HCC applications.


Human-centered semantic analyses in Cloud/Fog/Edge
Knowledge-driven human-computer interaction in Cloud/Fog/Edge
Collaborative systems and decisions in Cloud/Fog/Edge
Intelligent big data analyses in HCC with Cloud/Fog/Edge
Security, privacy and trust in Cloud/Fog/Edge
AI algorithms for multi-agent systems in HCC
People-cyber-physical interactions in Cloud/Fog/Edge
AI powered smart applications in HCC
Power, energy and cost of HCC with Cloud/Fog/Edge
Intelligent interfaces and user modeling
Smart service quality optimization in HCC with Cloud/Fog/Edge
Multimedia applications in HCC with Cloud/Fog/Edge

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