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). 

The IEEE Signal Processing Society invites nominations for the positions of the Chair, Women in Signal Processing Committee and Chair, Young Professionals Committee. The term for the two positions is three years (1 January 2021-31 December 2023). Nominations must be received no later than 10 July 2020.

The global COVID 19 pandemic has changed everything. Universities, research institutes, companies and other organizations will be operating differently from now, that is, their business models will change drastically. Even when everything goes back to normal, the “new normal” will not resemble our “old normal.” 

The First TReNDS Neuroimaging Competition is LIVE! The competition features the largest normative dataset of its kind and will push the limits of current predictive technologies to help determine the translational value of the provided features for future clinical use. Find more about this unique opportunity here.

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. 

The 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) starts next week, and a fully virtual event opens even more opportunities and flexibility for you to interact and engage with your signal processing community!

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.

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 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. 

Virtual reality (VR) holds tremendous potential to advance our society. It is expected to make impact on quality of life, energy conservation, and the economy, and reach a $162B market by 2022.