Dr. Pascale Fung is a Professor at the Department of Electronic & Computer Engineering and the Department of Computer Science & Engineering at The Hong Kong University of Science & Technology (HKUST).

The workshop is 22nd in the series, organized by the Multimedia Signal Processing Technical Committee of the IEEE Signal Processing Society (SPS), with the aim to bring together researchers and practitioners from academia and industry, passionate about multimedia signal processing, to share their knowledge, exchange ideas, explore future research directions and network.

Though the effects of the COVID-19 pandemic presented the world with unforeseen challenges, the IEEE Signal Processing Society is committed to exploring new ways to innovate, providing our global community with even more opportunities to connect, collaborate, and discover the latest research and breakthroughs from signal processing professionals throughout the world. Even if we weren’t initially seeing you in-person this year, we hope you’ll mark your calendar to and join us for these pioneering virtual events!

In the past decade, deep learning methods have achieved unprecedented performance on a broad range of problems in various fields from computer vision to speech recognition. So far research has mainly focused on developing deep learning methods for Euclidean-structured data.

The new IEEE Transactions on Artificial Intelligence (T-AI) is a multidisciplinary journal publishing peer-reviewed articles on theories and methodologies in Artificial Intelligence; applications of Artificial Intelligence will also be considered.

The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

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.

Dr. Maria Sabrina Greco graduated in Electronic Engineering in 1993 and received a Ph.D. degree in Telecommunication Engineering in 1998, from the University of Pisa, Italy. From December 1997 to May 1998, she joined the Georgia Tech Research Institute, Atlanta, in the USA as a visiting research scholar where she carried on research activity in the field of radar detection in non-Gaussian background.