May 2017

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News and Resources for Members of the IEEE Signal Processing Society

May 2017
Please refer to the following webpage for the latest updates on upcoming conferences in Signal Processing. Listing of all conferences

Please visit the Conferences and Events page on the IEEE Signal Processing Society website for upcoming Lectures by Distinguished Lecturers.

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 related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC. Visit the SPS Job Submission Form.

Overview
The Board of Governors of the IEEE Signal Processing Society (SPS) has allocated $20,000 for Member-Driven Initiatives for the 2017 calendar year. The funding is open to all Signal Processing Society members, Chapters and Committees. However, all proposals must include the involvement of the local Chapter to encourage geographic development. Allocation of funds will be competitive.

Access application here.

How can real-time analysis of wireless communications data improve weather forecasts? Read more.

The IEEE BMC reports on a new journal proposal, the IEEE Transactions on Biometrics, Behavior, and Identity Science and the IEEE Conference on Biometrics Theory, Application and Systems

SPS Member Dr. Lav Varshney explains how pattern recognition will help Facebook weed out offensive, non-consensual content in FOX News. Read more.

Researchers at the University of California, Riverside, have developed a new navigation system that is based entirely on existing terrestrial signals, such as cellular and Wi-Fi, rather than GPS. The new technology, which the researchers claim is both highly reliable and accurate, can function as a standalone alternative to GPS or as an alternative to satellite signals to enable highly reliable, consistent, and tamper-proof navigation in autonomous systems, such as robots, driverless terrestrial vehicles, and unmanned aerial vehicles.

Pierson, Alyssa. (Boston University), “Analysis of multi-agent systems under varying degrees of trust, cooperation, and competition” (2017) Advisor: Schwager, Mac

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