Other Co-Sponsored Journals

IEEE Transactions on Big Data

The IEEE Transactions on Big Data publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure, big data standards, big data performance analyses, intelligence from big data, scientific discovery from big data security, privacy, and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.

This Transactions is sponsored by IEEE Computer Society, the IEEE Communications Society, the IEEE Computational Intelligence Society, the IEEE Sensors Council, the IEEE Signal Processing Society, the IEEE Systems, Man, and Cybernetics Society, the IEEE Consumer Electronics Society, the Systems Council, and the IEEE Vehicular Technology Society, and its Technical Co-Sponsors are IEEE Engineering in Medicine and Biology Society, IEEE Photonic Society, IEEE Power & Energy Society, IEEE Biometrics Council, and IEEE Control Systems Society.

IEEE Transactions on Information Forensics and Security

This journal aims to provide a unified focus for archival research on the fundamental contributions and the mathematics behind information forensics, information security, surveillance, and systems applications that incorporate these features.

The journal is sponsored by the IEEE Signal Processing Society. It is technically co-sponsored by the IEEE Communications Society, the IEEE Computational Intelligence Society, the IEEE Computer Society, the IEEE Engineering in Medicine and Biology Society, and the IEEE Information Theory Society.

IEEE Transactions on Affective Computing

This journal is a cross-disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. The journal publishes original research on the principles and theories explaining why and how affective factors condition interaction between humans and technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation and evaluation of systems that carefully consider affect among the factors that influence their usability. Surveys of existing work are considered for publication when they propose a new viewpoint on the history and the perspective on this domain.