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.

Augmented reality devices of the future will likely fuse sensor data from several modalities, allowing multichannel speech enhancement algorithms to exploit, for example, head orientation and accurately estimated source directions. 

The IEEE Signal Processing Society invites nominations for the position of Editor-in-Chief for the following journals: IEEE Signal Processing Magazine, IEEE Transactions on Image Processing, and IEEE Transactions on Signal Processing for a 3-year term starting 1 January 2024.  

Non-line-of-sight (NLoS) imaging is an exciting technology which uses time-resolved sensors to see objects that are hidden from view. In essence, NLoS imaging lets someone turn a wall into a mirror. This talk will highlight recent advances in NLoS imaging, with an emphasis on the algorithms which underlie their operation. 

Speech enhancement and speech separation are two related tasks, whose purpose is to extract either one or more target speech signals, respectively, from a mixture of sounds generated by several sources.

Nominations are due 15 January annually for the IEEE Technical Field Awards (TFAs). Download nomination forms and award-specific criteria.

Self-awareness and self-organization have a long history in biology, psychology, medicine, engineering and (more recently) computing. In the past decade this has inspired new self-aware/self-organizing strategies for building resilient computing platforms that can adapt to the (often conflicting) challenges...

IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society.

Many tasks in medicine still involve substantial manual work. In many cases there is strong potential for intelligent automation by Artificial Intelligence (AI), leading possibly to a reduction in costs and man-hours, while increasing the quality of clinical service.

Separating the household aggregated energy consumption signal into its additive sub-components (the power signal from individual appliances), is called energy (power) disaggregation or non-intrusive load monitoring (NILM).