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NEWS AND RESOURCES FOR MEMBERS OF THE IEEE SIGNAL PROCESSING SOCIETY

What Should We Learn From... Big Data: Theoretical Aspects from Proceedings of the IEEE Jan. 2016

Big data has burst into public awareness over the past few years as people have become more and more aware of the massive amount of data being produced by social and scientific activities, and its potential utilization for good or harm. This special issue on "Big Data: Theoretical Aspects", published in Proceedings of the IEEE Jan. 2016, highlights a number of algorithmic approaches that are fundamental to data analysis, both in formulating and solving problems.
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Member in the Spotlight: Florian Meyer

In this series, we introduce a scientist, who makes use of signal processing techniques for his research findings, by means of an interview. This month, we are happy to introduce Dr. Florian Meyer from Vienna University of Technology, whose research interests mainly focus on message passing algorithms for statistical inference.
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