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The Latest News, Articles, and Events in Signal Processing

Welcome to the Winter 2014 edition of the IEEE Speech and Language Processing Technical Committee's Newsletter! This issue of the newsletter includes 8 articles and announcements from 10 contributors, including our own staff reporters and editors. Thank you all for your contributions! This issue includes news about IEEE journals and recent workshops, SLTC call for nominations, and individual contributions.

There have been reports that the entire US power grid can suffer a major blackout nationwide by an attack on merely 9 of its 55,000 substations, if planned intentionally. This may sound suspicious, but on a smaller scale, how vulnerable is a regional electrical power grid, say the San Francisco Bay area, the heart of high-tech industry, under major outage or malicious penetrations?

For our January 2015 issue, we cover recent patents granted in the area of audio coding. The section below covers patents granted recently for various new audio coding methods, tonal artifact avoidance, and a novel MP3 encoder.

The IEEE Global Conference on Signal and Information Processing (GlobalSIP) is a recently launched flagship conference of the IEEE Signal Processing Society. GlobalSIP' 15 will be held in Orlando, Florida, USA, December 14 - 16, 2015. The conference will focus broadly on signal and information processing with an emphasis on up-and-coming signal processing themes.

Please refer to the following webpage for the latest updates on upcoming conferences in Signal Processing.

http://www.signalprocessingsociety.org/conferences/upcoming-conferences/

The following SPS Distinguished lectures will be held in the upcoming months

Oymak, SametView (California Institute of Technology) “Convex relaxation for low-dimensional representation: Phase transitions and limitations” (2015), Advisor: Hassibi, Babak 

Abou-zeid, Hatem. Queen's University (Canada) “Predictive radio access networks for vehicular content delivery” (2014)

The AVSS Steering Committee invites formal proposals for the 2016 conference in USA.

128 Signal Processing Society Members Elevated to Senior Member

Now IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form at the related TC section pages.

Please refer to the following webpage for the latest updates on upcoming conferences in Signal Processing.

http://www.signalprocessingsociety.org/conferences/upcoming-conferences/

Bing Hu, (University of California, Riverside) “Mining Time Series Data: Moving from Toy Problems to Realistic Deployments” (2013) Advisor: Eamonn Keogh

 Yingying Zhu (University of California Riverside) “Towards Sparse Modeling of Multi-object Interactions in Video” Advisor: Amit K. Roy-Chowdhury

A team led by Stanford electrical engineers has compressed a completely sequenced human genome to just 2.5 megabytes – small enough to attach to an email. The engineers used what is known as reference-based compression, relying on a human genome sequence that is already known and available. Their compression has improved on the previous record by 37 percent. The genome the team compressed was that of James Watson, who co-discovered the structure of DNA more than 60 years ago

For our December 2014 issue, we cover recent patents granted in the area of image denoising. The section below covers patents granted recently for image de-bluring, enhancement layer video coding,  enhanced MRI signal reconstruction, image noise removal, and anisotropic denoising.

Precision medicine is a new model of health care which gains insights from an individual's history and biology patterns, to create more precise diagnosis and treatment, at a lower cost. Precision medicine is a big data problem. Despite the completion of Human Genome Project more than ten years ago and the development in the field as a whole, precision medicine is still not a routine practice of medicine due to the lack of appropriate technical work and software platforms.

In this series, we introduce a member of our Society by means of an interview. This month, we are happy to introduce Le An from University of California, Riverside, who recently finished his PhD thesis, "Real-World Person Identification”.

The Machine Learning for Signal Processing Technical Committee (MLSP TC) is involved with activities that support the use of Machine Learning techniques for Signal Processing problems. The scope of this TC is fairly wide, ranging from traditional machine learning and pattern recognition, to approaches that combine material from both disciplines. Under the scope of the MLSP TC we find areas such as source separation, graphical and kernel methods for time-series, Bayesian non-parametrics, and matrix and tensor factorizations among many more.

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