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The Latest News, Articles, and Events in Signal Processing
Lecture Date: March 19, 2021
Chapter: Gujarat
Chapter Chair: Chirag Paunwala
Topics: Security, Privacy and Trustworthiness in the AI World
IEEE has announced the 2022 IEEE Medal, Recogiition, and Technical Field Award recipients. IEEE medals are the highest honor of awards presented by IEEE and these medals will be presented at the 2022 IEEE Honors Ceremony. Nine Signal Processing Society members will received an IEEE award.
Job offer: Post-doc in biomedical image analysis
We are seeking candidates who are interested in developing deep learning algorithms for improving the registration/alignment of our 2D/3D MRI and microscopy images.
Job description
Submission Deadline: April 23, 2021
Call for Proposals Document
The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 183 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.
A new Challenge on self-awareness in heterogeneous multi-robot systems has been organized within the first International Conference on Autonomous Systems (ICAS 2021).
IEEE Signal Processing Society Past President Ali H. Sayed, in his capacity as Chair of the Society’s Nominations and Appointments Committee, invites nominations for the IEEE Signal Processing Society Officer positions of President-Elect for the term 1 January 2022-31 December 2023 and Vice President-Technical Directions for the term 1 January 2022-31 December 2024. Nominations must be received no later than 12 March 2021.
With the current rollout of 5G, the focus of the research community is shifting towards the design of the next generation of mobile systems, e.g., 6G mobile networks. Non-orthogonal multiple access (NOMA) has been recognized as an essential enabling technology for the forthcoming 6G networks to meet the heterogeneous demands on low latency, high reliability, massive connectivity...
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.
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
The Signal Processing Society (SPS) is a sponsoring society of the IEEE Brain Community. As a sponsor of the Brain Community, IEEE SPS members and student members can join the IEEE Brain Community as individuals for free.
Closing date: open until the positions are filled.
The Gordon Center for Medical Imaging (GCMI) in the Department of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) in Boston, MA has an immediate opening at the postdoctoral level to work on research projects related to PET and MR image analysis, image restoration and image reconstruction.
The Department of Mathematics and Data Science of the Vrije Universiteit Brussel is looking for a Tenure Track Professor in Mathematics/Continuous techniques in Data Science with research expertise in mathematical analysis with contributions to data science, more precisely in the combination of knowledge-driven (e.g. using PDE, sparse, geometric or stochastic models) and data-driven approaches for solving inverse problems.
The Department of Mathematics and Data Science of the Vrije Universiteit Brussel is looking for a Tenure Track Professor in Mathematics/Continuous techniques in Data Science with research expertise in mathematical analysis with contributions to data science, more precisely in the combination of knowledge-driven (e.g. using PDE, sparse, geometric or stochastic models) and data-driven approaches for solving inverse problems.
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