Dr. Birsen Yazici received her B.S. degrees in electrical engineering and mathematics from Bogazici University, Istanbul Turkey, in 1988, and the M.S.and Ph.D.degrees in mathematics and electrical engineering from Purdue University, West Lafayette, IN, USA, in 1990 and 1994, respectively. 

The 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) starts next week, and a fully virtual event opens even more opportunities and flexibility for you to interact and engage with your signal processing community!

The global COVID 19 pandemic has changed everything. Universities, research institutes, companies and other organizations will be operating differently from now, that is, their business models will change drastically. Even when everything goes back to normal, the “new normal” will not resemble our “old normal.” 

Shiv Dutt Joshi received the B.E. degree (Hons.) in electrical and electronics engineering from the Birla Institute of Technology, Pilani, India, in 1981, and the M.Tech. degree in communications and radar engineering and the Ph.D. degree in signal processing from IIT Delhi, New Delhi, India, in 1983 and 1988, respectively. 

Given the impossibility of travel during the COVID-19 crisis,  Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.

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 IEEE Signal Processing Society would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic. We appreciate your continued patience and support as we work together to navigate these unforeseen and uncertain circumstances. We hope that you, your families, and your communities are safe!