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Section: Events
Date: 12-17 June 2023
Location: Pune, India
Section: Events
Date: 10-15 July 2023
Location: Hyderabad, India
Section: Events
Date: 15-16 September 2023
Location: Dengkil, Malaysia
Section: Publications & Resources
The IEEE Signal Processing Society (SPS) announces the 2023 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2023 to 31 December 2024. 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.
Section: Publications & Resources
Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the voting members. To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow. The grade of Fellow recognizes unusual distinction in IEEE’s designated fields.
Section: Events
Submission Deadline: 15 June 2023
Call for Proposals Document
Issue Date:
Section: Community & Involvement
With the nomination by the CI TC Awards Subcommittee, Dr. Linda Moore was selected to be a 2023 IEEE SPS Distinguished Industry Speaker. Well-deserved and congratulations!
Lecture Topics
Issue Date:
Section: Community & Involvement
• Yuejie Chi (TC member) was elevated to IEEE fellow for contributions to statistical signal processing with low-dimensional structures.
• Brendt Wohlberg, (TC advisory member) was elevated to IEEE fellow for contributions to computational imaging and sparse representations.
Well-deserved and congratulations!
Section: Publications & Resources
Graph neural networks (GNNs) have achieved impressive results in various graph learning tasks and they have found their way into many application domains. Despite their proliferation, our understanding of their robustness properties is still very limited.
Section: Events
Date: 18 January 2023
Time: 3:00 PM (Paris Time)
Title: Robustness of Graph Neural Networks
Registration | Full webinar details
