The IEEE annual election begins on 15 August and ends on 1 October.  All ballots must be received by 12:00 noon 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. 

IEEE has announced the 2025 IEEE Technical Field Award recipients. Four IEEE Signal Processing Society members have been recognized with an IEEE Technical Field Award.

The IEEE Signal Processing Society (SPS) invites nominations for the position of Awards Board Chair. The term for the Awards Board Chair will be three years (1 January 2025-31 December 2027).

Dr. Lina J. Karam is an Emerita Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University and Director of the R&D Image, Video & Usability (IVU) Lab. She is currently Chief Technical Advisor at AIAEC and expert consultant for various industries and firms in the areas of signal processing, computer vision, AI/machine learning, image and video processing and compression.

Empower your future at the IEEE SustainTech Leadership Forum! IEEE SustainTech brings together industry leaders with groundbreaking sustainable technology solutions.

It is my pleasure to announce that the IEEE Signal Processing Society (SPS) annual election will commence on 15 August, and your vote is more important than ever! This year, all eligible SPS Members will vote for the Regional Directors-at-Large for Regions 1-6 and 8 (term 1 January 2025 through 31 December 2026), and Members-at-Large (term 1 January 2025 through 31 December 2027) of the IEEE Signal Processing Society Board of Governors (BoG).

With the IEEE Annual Election and several Society elections underway, a friendly reminder to review and adhere to the IEEE election campaign policies which apply to all IEEE elections. 

Nominate your local IEEE Signal Processing Chapter for the 2024 Chapter of the Year Award by 15 October 2024! The award presentation will be celebrated at ICASSP 2025.

How can we process and remix music so it sounds best for those with a hearing loss? The Cadenza project is defining what music personalised for someone with a hearing loss should sound like and exploiting the latest in machine learning to create improved listening experiences.