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See the latest from the IEEE Signal Processing Society.
Election of President-Elect, Regional Directors-at-Large and Members-at-Large
It is my pleasure to announce that the IEEE Signal Processing Society (SPS) annual election will commence on 16 August, and your vote is more important than ever! This year, all eligible SPS Members will vote for the next President-Elect (term 1 January 2022 through 31 December 2023), in addition to the Regional Directors-at-Large for Regions 7 & 9 and 10 (term 1 January 2022 through 31 December 2023), and Members-at-Large (term 1 January 2022 through 31 December 2024) of the IEEE Signal Processing Society Board of Governors (BoG).
Call for Nominations: Awards Board and Nominations & Appointments Committee
In accordance with the Bylaws of the IEEE Signal Processing Society, I am writing to solicit nominations for the Awards Board and the Nominations and Appointments (N&A) Committee. This year, the Society will be filling THREE positions on the N&A Committee for the term 2022-2023 and TWO positions on the Awards Board for the term 2022-2024. Nominations must be received no later than Friday, 24 September 2021.
Updated SPS Chapter Logo Usage and Branding Guidelines
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
Job Opportunities in Signal Processing
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.
Industry Leaders in Signal Processing and Machine Learning: Greg Mori
Greg Mori is Senior Research Director for RBC's Borealis AI and a Professor in the School of Computing Science at Simon Fraser University. Greg Mori was born in Vancouver and grew up in Richmond, BC. He received a Ph.D. degree from UC Berkeley in 2004 and an Hon. B.Sc. from the University of Toronto in 1999. He was a Visiting Scientist at Google in 2014-2015.
SPS Webinar, 14 September 2021: Case Studies of Deep Learning for Channel Decoding and Power Control
This webinar will demonstrate how deep learning can solve difficult communication problems that prior approaches often fail with two case studies. The first half will discuss a novel iterative BP-CNN architecture for channel decoding under correlated noise. This architecture concatenates a trained convolutional neural network (CNN) with a standard belief-propagation (BP) decoder.
Contribute to Commercial Standards by Joining the IEEE Synthetic Aperture Standards Committee
The IEEE Signal Processing Society (SPS) recently approved the creation of the Synthetic Aperture Standards Committee. This body is the first Standards Committee created under the auspices of the SPS and it is actively recruiting new members for its initial roster.
Member Highlights: Satoshi Nakamura
Satoshi Nakamura received his B.S. degree in electronics engineering from Kyoto Institute of Technology, Kyoto, in 1981. He received his Ph.D. in informatics from Kyoto University in 1992. He was the Department Head and Director of ATR Spoken Language Communication Research Laboratories, Kyoto, Japan in the period of 2000-2008.
72 Signal Processing Society Members Elevated to Senior Member!
The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 72 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.
IEEE Brain
IEEE Brain was formed in 2015 to create a technical community to facilitate cross-disciplinary collaboration and coordination to advance research, standardization, and development of engineering and technology to improve our understanding of the brain to treat diseases and to improve human condition. As an IEEE-wide effort, IEEE Brain unites engineering and computing expertise across IEEE Societies and Councils relevant to neuroscience, and provides an avenue for IEEE to work with multiple constituencies in academia, industry and government ...
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