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. 

The DSLW team is inviting you to submit regular papers to the 2022 IEEE Data Science & Learning Workshop (DSLW 2022), a workshop organized by the IEEE Signal Processing Society (supported by the SPS Data Science Initiative). The workshop aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science, learning theory and applications.

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.

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).

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.

The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.

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.

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. 

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.