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.

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.

Vimal Bhatia is a Professor in the Discipline of Electrical Engineering at the Indian Institute of Technology Indore, India. He is also an associated faculty with Centre for Advanced Electronics and Discipline of Astronomy, Astrophysics, and Space Engineering at IIT Indore.

The IEEE Signal Processing Society (SPS) has extended the nomination period for the position of the Chair, Young Professionals Committee in order to allow for a more diverse slate of candidates.

The IEEE Signal Processing Society (SPS) is launching PROGRESS -  an initiative aiming to motivate and support women and under-represented minorities to pursue academic careers in signal processing. 2020 PROGRESS Workshop at ICIP 2020 (Virtual), 26-27 October 2020. Submission Deadline is 20 October 2020!

Dr. Mari Ostendorf is an Endowed Professor of System Design Methodologies at the University of Washington in the Electrical & Computer Engineering Department, currently serving as Associate Vice Provost for Research. She is also an Adjunct Professor in Linguistics and in the Paul G. Allen School of Computer Science and Engineering.