- Home
- Inside Signal Processing Newsletter
News & Updates
See the latest from the IEEE Signal Processing Society.
Industry Leaders in Signal Processing and Machine Learning: Dr. Oriol Vinyals
Dr. Oriol Vinyals is a Principal Scientist at DeepMind, and a team lead of the Deep Learning group. His work focuses on Deep Learning and Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from the University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award.
Facial Expression Analysis with Attention Mechanism
We develop algorithms to analyzing facial expression by learning from the data. Since local characters of muscle movements play an important role in distinguishing facial expression by machines, we explore the local characters of facial expressions by introducing the attention mechanism in both supervised and self-supervised supervised manners. Our methods is experimentally shown to be effective on facial expression recognition with occlusions and facial action unit detection.
IEEE SPS SAM TC Webinar: 27 January 2022, by Sundeep Rangan
The use of wireless frequencies above 100 GHz has attracted considerable interest for both massive bandwidth communication links and very high resolution RADAR and sensing. Systems in these frequencies have unique characteristics in terms of device nonlinearities, MIMO architectures and radio propagation that in turn present significant design challenges.
Member Highlights: Prof. Tiago H. Falk
Prof. Tiago H. Falk received the BSc degree from the Federal University of Pernambuco, Brazil, in 2002, and the MSc and PhD degrees from Queen’s University, Canada, in 2005 and 2008, respectively, all in electrical engineering. In 2007, he was a visiting Research Fellow at the Sound and Image Processing Lab, Royal Institute of Technology (KTH), Sweden, and in 2008 at the Quality and Usability Lab, Deutsche Telekom/TU Berlin, Germany.
SPS Announces 2022 Class of Distinguished Lecturers and Distinguished Industry Speakers
The IEEE Signal Processing Society (SPS) announces the 2022 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2022 to 31 December 2023. The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings.
Call for Officer Nominations: Vice President-Education and Vice President-Membership
IEEE Signal Processing Society Past President Ahmed Tewfik, in his capacity as Chair of the Society’s Nominations and Appointments Committee, invites nominations for the IEEE Signal Processing Society Officer positions of Vice President-Education for the term 1 January 2023-31 December 2025 and Vice President-Membership for the term 1 January 2023-31 December 2025.
Member Highlights: Dr. Panos P. Markopoulos
Dr. Panos P. Markopoulos (Senior Member, IEEE) was born in Athens, Greece, in 1986. He received the Engineering Diploma degree (five-year program) in electronic and computer engineering, the M.S. degree in electronic and computer engineering, from the Technical University of Crete, Chania, Greece, in 2010 and 2012, respectively, and the Doctor of Philosophy degree in electrical engineering from The State University of New York at Buffalo, Buffalo, NY, USA, in 2015.
2021 IEEE Signal Processing Society Awards Presented in Singapore
The IEEE SPS congratulates the following SPS members who will receive the Society’s prestigious awards during ICASSP 2022 in Singapore.
Call for Video: Five-Minute Video Clip Contest at ICASSP 2022
The Signal Processing Society is pleased to announce the 5-Minute Video Clip Contest (5-MICC) at ICASSP in Singapore May 22-27, 2022. The topic chosen this year is graph signal processing (GSP) and its applications. Graph signals arise in various applications, such as sensor networks, power systems, social networks, and biological studies.
SPS Webinar: 26 January 2022, by Dr. Ba-Ngu Vo - Bayesian Multi-object Tracking: Probability Hypothesis Density Filter and Beyond
In his seminal paper, Dr. Ronald Mahler not only developed the Probability Hypothesis Density (PHD) filter, but also detailed the Random Finite Set (RFS) framework for multi-object systems. These complex dynamical systems, in which the number of objects and their states are unknown and vary randomly with time, have a wide range of applications from surveillance, computer vision, robotics to biomedical research.
Pagination
Open Calls
IEEE Signal Processing Society on 
@ieeeSPS
13.5K+ subscribers‧250+ videos
Publications & Resources
IEEE Signal Processing Society publications, tools, and author resources. Learn more.
Conferences & Events
Upcoming events, deadlines, and planning resources. Learn more.
Education & Training
Signal processing education and professional development program for all career levels. Learn more.
Community & Involvement
Learn about SPS membership, Member Programs, Technical Committees, and access shared tools and support. Learn more.
About IEEE SPS
IEEE Signal Processing Society publications, tools, and author resources. Learn more.
For Volunteers
Resources, tools, and support for SPS volunteer leaders. Learn more.
The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.
