Human-centric computing has evolved into a very active research topic with applications in many fields. Individuals and community/crowd are at the core of technology design and development processes, with a specific focus on meeting their unique needs, preferences, and overall well-being. Data-driven technologies, on the other hand, have a long history of being powerful tools for processing, analyzing, and extracting valuable insights from vast datasets.
The convergence of human-centric computing and data-driven technologies sets the stage for remarkable innovation. This integration enables the creation of personalized and tailored solutions that enhance user experiences, optimize computing solutions, enable predictive modeling, and empower individuals and community/crowd in various aspects of their lives. From revolutionizing healthcare outcomes to optimizing service delivery, improving user interaction to facilitating intelligent environments, this amalgamation of human-centric computing and data-driven technologies holds immense promise. Challenges arise from the fact that data are collected and characterized from a wide heterogeneity in terms of source, content, format, domain, and representation. Adequate and successful storage, access, mining, and analytics depend on the emergence of innovative models, intelligent methods, advanced technologies, and cutting-edge implementations. Last but not least, defending digital information against malicious and accidental threats is indispensable and worthy of more research.
The goal of this special issue is to explore a wide variety of research to provide insights into the state-of-the-art technology, architecture, mechanism, protocol, application, and practice developed for human-centric computing and data-driven technologies. We also seek to foster interdisciplinary discussions and uncover new avenues. Topics of interest include, but are not limited to:
The authors are requested to submit their full research papers complying with the general scope of the journal. The submitted papers will undergo peer review process before they can be accepted. Notification of acceptance will be communicated as we progress with the review process.
Papers submitted to this journal for possible publication must be original and must not be under consideration for publication in any other journals. Prospective authors should submit an electronic copy of their completed manuscript to https://mc03.manuscriptcentral.com/bdma with manuscript type as “Special Issue on Human-Centric Computing and Data-Driven Technologies”. Further information on the journal is available at: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8254253.
Deadline for submissions: Jan. 15, 2024
Prof. Yuan Tian, Nanjing Institute of Technology, China. Email: email@example.com
Prof. Muhammad Khurram Khan, King Saud University, Saudi Arabia. Email: firstname.lastname@example.org
Prof. Zhaoqing Pan, Tianjin University, China. Email: email@example.com
Prof. Vidyasagar Potdar, Curtin University, Australia. Email: firstname.lastname@example.org