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News & Updates
See the latest from the IEEE Signal Processing Society.
Get Involved with Technical Committees by becoming a TC Affiliate
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the 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.
Meet the 2021 Candidates: IEEE President-Elect
The IEEE annual election begins on 16 August and ends on 1 October. All ballots must be received by 12:00 p.m. EDT USA/16:00 UTC. The IEEE Signal Processing Society is committed to ensuring that its members are prepared with sufficient information about the candidates in order to make their best informed decision.
Series to highlight women in Signal Processing: Selin Aviyente
Selin Aviyente received her B.S. degree with high honors in Electrical and Electronics engineering from Bogazici University, Istanbul in 1997. She received her M.S. and Ph.D. degrees, both in Electrical Engineering: Systems, from the University of Michigan, Ann Arbor, in 1999 and 2002, respectively. She joined the Department of Electrical and Computer Engineering at Michigan State University in 2002, where she is currently a Professor and Associate Chair for Undergraduate Studies.
Call for Papers: IEEE SSP 2022
The IEEE Statistical Signal Processing (SSP) workshop is one of the foremost international conferences on statistical signal processing and its applications. The 22nd edition of SSP will be held from 3-6 July 2022 in Hanoi, the capital of Vietnam: a 1000-year-old city with a mix of rich history and modern appeal and proud of local culture and cuisine.
SPS Webinar, 2 August 2021: Learning a Convolutional Neural Network for Image Compact-Resolution
We study the dual problem of image super-resolution (SR), which we term image compact-resolution (CR). Opposite to image SR that hallucinates a visually plausible high-resolution image given a low-resolution input, image CR provides a low-resolution version of a high-resolution image, such that the low-resolution version is both visually pleasing and as informative as possible compared to the high-resolution image.
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