The following volunteers have been named Editors-in-Chief of IEEE Signal Processing Society publications. The term for these Editors-in-Chief will run from 1 January 2022 through 31 December 2024.

Tomas Mikolov is the creator of Word2Vec which was developed in 2013 by a group of researchers led by him at Google Brain and has been widely used since then (28,000 citations). He is a pioneer for leveraging Recurrent Neural Networks (RNNs) for natural language which replaced n-gram language models that were state of the art for decades.

The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.

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.

Xuedong Huang is a Microsoft Technical Fellow and Azure AI Chief Technology Officer. He is responsible for Microsoft’s Azure AI engineering and research to bring the dream of making machines see, hear and understand human beings a reality.

Every person spends around 1/3 of their life in bed. For an infant or a young toddler this percentage can be much higher, and for bed-bound patients it can go up to 100% of their time. In-bed pose estimation is a critical step in many human behavioral monitoring systems, which are focused on prevention, prediction, and management of at-rest or sleep-related conditions in both adults and children.

The IEEE Signal Processing Society Chapter of the Year Award will be presented for the 11th time in 2022. The award will be presented annually to a Chapter that has provided their membership with the highest quality of programs, activities and services. The award will be presented annually in conjunction with the International Conference on Acoustics, Speech and Signal Processing (ICASSP) to the Chapter’s representative.

Prof. Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA.

Facial expressions are configurations of different muscle movements in the face. The local characters of muscle movements play an important role in distinguishing facial expressions by machines. In this webinar, the presenter will explore the local characters local characters of muscle movements by introducing the attention mechanism into two frameworks.