May 2020

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10 years of news and resources for members of the IEEE Signal Processing Society

May 2020

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.

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.

You may have been wondering what happened to the list of tables of contents (TOCs) we were offering in the SPS Newsletter each month? Well, beginning in 2020, many of the SPS journals eliminated month-based issues and moved to volume-only publications; for these, there are no month-based TOCs. In order to address this, we worked to devise a method to collect a range of articles being posted to IEEEXplore® and assemble them into a separate, yet familiar, formatted TOC.

Dr. Birsen Yazici received her B.S. degrees in electrical engineering and mathematics from Bogazici University, Istanbul Turkey, in 1988, and the M.S.and Ph.D.degrees in mathematics and electrical engineering from Purdue University, West Lafayette, IN, USA, in 1990 and 1994, respectively. 

The ALASKA 2 Steganalysis Challenge is now open!  The goal of the competition is to push the community towards image steganalysis, “into the wild” facing two main challenges: 1) The very high heterogeneity of image "sources", with widely different type of content, processing operations, sensor noises, etc. and 2) Designing machine learning method for detection with low false positive, ideally that could be guaranteed.  The entry deadline is 13 July 2020 at 11:59 PM (UTC). 

A new era of pervasive data generation is enabled by emerging sensing modalities and will pose new challenges to signal processing, data science, and robotics. For example, underwater robotic technology enables the development of advanced networks for underwater localization and mapping, and emerging aerial robotic technology enables the development of advanced networks for wide area localization and mapping. 

COVID-19 has disrupted the day-to-day activities of governments, corporates, and people across the globe. It is unfortunate that this virus has taken humanity to a stage where most of us spend time in isolation worrying about the future.

The use of machine-learning for multimedia forensics is gaining more and more consensus, especially due to the amazing possibilities offered by modern machine learning techniques. By exploiting deep learning tools, new approaches have been proposed whose performance remarkably exceed those achieved by state-of-the-art methods based on standard machine-learning and model-based techniques. 

The IEEE Signal Processing Society would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic. We appreciate your continued patience and support as we work together to navigate these unforeseen and uncertain circumstances. We hope that you, your families, and your communities are safe!

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.

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