The deadline for the Regional Director-at-Large Regions 1-6 nominations noted in the below message has been extended to 20 April 2018.  The nomination period for the other noted positions is considered closed.  Submission details are noted below.

So much of our daily lives are powered by signal processing technologies. They go unnoticed mostly because that’s the purpose – to help our lives run more seamlessly, with little to no impact. For example, you’re probably reading this blog on your computer. Guess what? Signal processing is responsible for your computer’s ability to store data and run smoothly.

We encourage applications from outstanding candidates with strong academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields. At Inria we seek to increase the number of women in areas where they are underrepresented and therefore explicitly encourage women to apply.

The IEEE Signal Processing Society welcomes proposals from prospective organizers of 2018-2019 winter schools under the S3P (Seasonal Schools in Signal Processing) Program.  S3P seasonal schools are typically either summer schools or winter schools, and are geared towards providing graduate students, early stage researchers, and practitioners with background on selected topics in signal processing. 

Sensor networks deployed in high-latency environments such as underwater acoustic and satellite channels find critical applications in disaster prevention and tactical surveillance. The sensors in these networks have limited energy reserves.

Webinar Details: 15 March 2018 from 9:00am - 10:00am (EDT) 
Attendee Registration Link: Register for Webinar, by Dr. Sergios Theodoridis and Dr. Sotirios Chatzis
Topic: A Tour into Deep Learning: From Its Origins to Cutting Edge Research and Open Challenges

The IEEE Signal Processing Society is very excited to offer the next webinar in our new series featuring “technical and technological innovations and their applications in signal processing” from top researchers and thought leaders in academia and industry. 

The November 2017 special issue of SPM on deep learning for visual understanding surveyed deep-learning solutions under reinforcement; weakly supervised and multimodal settings, investigated their robustness; and presented overviews of their applications in domain adaptation, hashing, semantic segmentation, metric learning, inverse problems in imaging, image-to-text generation, and picture-quality assessment.