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. 

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.

Many important application domains generate distributed collections of heterogeneous local datasets. These local datasets are related via an intrinsic network structure that arises from domain-specific notions of similarity between local datasets. Networked federated learning aims at learning a tailored local model for each local dataset. 

As part of our ongoing video series to demonstrate the applications of signal processing in everyday life, the IEEE Signal Processing Society Computational Imaging Technical Committee has created a new video, Computational Imaging in Everyday Life.

IEEE Transactions on Mobile Computing seeks applicants for the position of Editor-in-Chief. The EIC term is three years, nonrenewable. The Steering Committee of the Transactions on Mobile Computing invites applications, which should be sent to Cathy Martin by 1 March 2022.

If you want to test your circuit design being an electrical or electronics engineer, then you have chosen the right event. Test your design, simulation, and hardware implementation skills with real-time applications (in collaboration with IEEE Robotics and Automation Society). 

We design a data-driven wavelet transform, called the empirical wavelet transform, which permits to extract very accurate time-frequency information from signals, or features from images.

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. 

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.

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.