Special Issue: Trustworthy Multimedia Big Data Computing for Next-Generation Multimedia Systems


The topics of interest include, but are not limited to:

  1. Futuristic trustworthy multimedia big data computing for next-generation multimedia systems
  2. Adversarial machine learning for next-generation multimedia systems
  3. Privacy-enhanced computation for trustworthy multimedia big data computing
  4. Convergences of multimedia Internet of Things with next-generation multimedia systems
  5. Knowledge-augmented multimedia big data computing for next-generation multimedia systems
  6. Multimedia classification, retrieval, and representation of trustworthy multimedia big data computing
  7. Advanced multimodal fusion for next-generation multimedia systems
  8. Futuristic social media big data computing for next-generation multimedia systems
  9. Edge intelligence-based decentralized big data computation for next-generation multimedia systems
  10. Data-driven AI for meta-learning in next-generation multimedia systems



Manuscript Submission Due: December 31, 2023

First-Round Acceptance Notification: August 15, 2023

Submission of Revised Version: September 15, 2023

Notification of Final Decision: October 15, 2023

Tentative publication date: To be defined later in accordance with CIT's publication schedule




B. Santhosh Kumar, Guru Nanak Institute of Technology, Hyderabad, Telangana, India

E-mail: bsanthosh.csegnit@gniindia.org


BalaAnand Muthu, Department of Computer Science & Engineering, Adhiyamaan College of Engineering, India

E-mails: balaanandmuthu.cse@adhiyamaan.in , balaanand@ieee.org     


Imran Shafique Ansari, James Watt School of Engineering, University of Glasgow, United Kingdom

E-mail: Imran.Ansari@glasgow.ac.uk



Prospective authors are directed to submit their manuscripts only through the Guest Editors, contacting them by the above e-mail(s). When submitting the manuscripts, it is imperative to follow the respective requirements listed on the following link:


The submitted manuscripts will be reviewed by at least two independent experts and the review process will be conducted through CIT's journal management system OJS.