In an effort to continue our programs and services during this difficult time, the SPS Awards Board is now accepting nominations for all Society level awards, from paper awards to the major society awards. Nominations are due by 1 September 2020.

The coronavirus (COVID-19) pandemic has led to widespread morbidity and mortality. Several countries have been forced into prolonged lockdowns in a desperate attempt to control the pandemic by physical distancing. Such lockdowns have devastated livelihoods and put large numbers of people at grave risk of prolonged unemployment, poverty, and even starvation.

Dr. Yonina Eldar is a Professor in the Department of Mathematics and Computer Science, Weizmann Institute of Science, Rechovot, Israel. She was previously a Professor in the Department of Electrical Engineering at the Technion, where she held the Edwards Chair in Engineering.

Given the impossibility of travel during the COVID-19 crisis,  Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.

Deep neural networks achieve state-of-the-art performance in many domains in signal processing. The main practice is getting pairs of examples, input, and its desired output, and then training a network to produce the same outputs with the goal that it will learn how to generalize also to new unseen data, which is indeed  the case in many scenarios.

Given the impossibility of travel during the COVID-19 crisis,  Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.

The human visual system has a unique ability to conceptualizing the dynamics of objects' interactions in a scene. We are not only able to detect objects' motion (including articulated and deformable ones, such as humans and animals) in a given scene but also distinguish different types of motion patterns in their bodies during various interactive actions.

As a reminder for continuing chapter chairs and for incoming chapter chairs for 2020, we would like to highlight a valuable resource available to you. Launched in 2018, IEEE OU Analytics, is a web-based business intelligence tool which delivers essential metrics on memberships or subscriptions to OUs, including Societies, Councils, Technical Communities, etc.

The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 79 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 IEEE Signal Processing Society (SPS) would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic.