IEEE to Launch Eight New Publications

Software-defined networks and big data are among the topics to be covered

8 December 2014

Eight electronic IEEE publications are scheduled to debut next year. They will be available in the IEEE Xplore Digital Library.

IEEE Transactions on Cognitive Communications and Networking will explore applications of learning, memory, and adaptive approaches to the design of communications systems. It will also cover artificial intelligence, software-defined networking, and cognitive radio.

Another journal, IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, will cover the principles, design, and analysis of communications systems that rely on principles of physics beyond classical electromagnetism. That includes molecular, quantum, and other physical, chemical, and biological techniques.

IEEE Transactions on Multi-Scale Computing Systems will publish research on micro- and nanoscale computing systems and data-processing technologies.

IEEE Transactions on Transportation Electrification will focus on components, subsystems, standards, and grid-interface technologies related to power and energy conversion, propulsion, and actuation for electrified vehicles.

IEEE Transactions on Big Data will deal with analytics, infrastructure, standards, performance analysis, intelligence, security, privacy, and scientific discovery.

IEEE Systems, Man, and Cybernetics Magazine will not only include articles on human-machine interfaces and systems engineering but will also highlight the IEEE Systems, Man, and Cybernetics Society’s educational programs, conferences, and other activities.

Research published in IEEE Transactions on Computational Imaging is expected to include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, and software and hardware for efficient computation in imaging systems.

And look to IEEE Transactions on Signal and Information Processing Over Networks for papers on algorithms for filtering, detection, estimation, adaptation, and learning; model selection; data fusion; and applications of distributed signal processing.

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