A reminder that chapter events and officer reporting need to be updated in vTools <http://vtools.ieee.org&gt; throughout the year.  This will ensure that current data is on file and that your chapter activity is accurately recorded.  All units are encouraged to try to hold at least virtual meetings, if possible, to show that the unit is active.

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.

In this issue, we interviewed Dr. Anubha Gupta. Anubha received her PhD. from the Indian Institute of Technology (IIT), Delhi, India in 2006 in Electrical Engineering. She did her second Master's as a full-time student from the University of Maryland, College Park, the USA from 2008-2010 in Education with a concentration: Higher Education Leadership and Policy Studies.

Dr. Namrata Vaswani is the Anderlik Professor of Electrical and Computer Engineering at Iowa State University. She received a Ph.D. in 2004 from the University of Maryland, College Park, and a B.Tech. from the Indian Institute of Technology (IIT-Delhi) in India in 1999. Her research interests lie in data science, with a particular focus on statistical Machine Learning, Statistical Signal Processing, and Computer Vision.

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.

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.

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

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.