Deep learning on graphs, also known as Geometric deep learning (GDL) [1], Graph representation learning (GRL), or relational inductive biases, has recently become one of the hottest topics in machine learning. While early works on graph learning go back at least a decade [2], if not two [3], it is undoubtedly the past few years’ progress that has taken these methods from a niche into the spotlight of the Machine Learning (ML) community.

The IEEE Signal Processing Society (SPS) would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic.

Are you looking to energize signal processing students, early stage researchers, and industry practitioners? Consider hosting a virtual Seasonal School for young engineers!

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.

Three new Members-at-Large will take their seats on the IEEE Signal Processing Society Board of Governors beginning 1 January 2021 and will serve until 31 December 2023. Nine candidates competed for the three Member-at-Large positions. These successful candidates represent a broad spectrum of the IEEE Signal Processing Society.

This issue brings to you our interview with Dr. Angshul Majumdar (M’2012, SM’2016), an associate professor at Indraprastha Institute of Information Technology, Delhi, India. He has co-authored more than 80 journal articles and 100 conference proceedings. He has authored two books - Compressed Sensing for Magnetic Resonance Image Reconstruction, published by Cambridge University Press (2015), and Compressed Sensing for Engineers, published by CRC Press (2019). 

The Signal Processing Society (SPS) has 12 Technical Committee that support a broad selection of signal processing-related activities defined by the scope of the Society.

The potentials of using millimeter-wave (mmWave) frequency for future wireless cellular communication systems have motivated the study of large-scale antenna arrays for achieving highly directional beamforming. However, the conventional fully digital beamforming methods, which require one radio frequency (RF) chain per antenna element, are not viable for large-scale antenna arrays due to the high cost and high power consumption of RF chain components in high frequencies.

Please find this month’s tables of contents (TOCs) below. The three SPS publications who still have month-based issues (Signal Processing Magazine, Journal of Selected Topics in Signal Processing, and Transactions on Multimedia), will still have traditionally formatted TOCs.