Table of Content

AI Powered Human-centric Computing with Cloud and Edge

Submission Deadline: 01 March 2023 Submit to Special Issue

Guest Editors

Prof. Lianyong Qi, China University of Petroleum (East China), China.
Dr. Quanwang Wu, Chongqing University, China.
Dr. Dharavath Ramesh, Indian Institute of Technology (ISM), India. 
Dr. Zhizhong Liu, Yantai University, China.
Dr. Yang Xu, Hunan University, China.


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 and edge, provide a promising way to provision HCC applications the cloud/edge resources in an economic and flexible manner. The adaption of cloud/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/edge data processing. AI algorithms have the capability to process the streaming data generated at cloud/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/edge-based HCC applications. The security and privacy issues also call for efforts in order to guarantee service quality delivered by cloud/edge-based HCC applications.


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

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