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Upcoming Events

The IEEE Signal Processing Society sponsors technical conferences, symposia and workshops dedicated to fostering networking opportunities with peers from around the world, and to exchange leading-edge, peer-reviewed scientific and technological knowledge. Additionally, we offer the following opportunities:

  • Call for Papers page for conference paper submission deadlines
  • Seasonal Schools in Signal Processing (S3P) is available for interested students
  • Distinguished Lecturer Program provides means for chapters to have access to individuals who are well known educators and authors in the fields of signal processing

 

To filter by an event category, select from the list below:

SPS SPTM TC Webinar: A Deep Dive into Recent Advances in Stochastic Approximation

Date: 07-August-2025
Time: 08:00 AM ET (New York Time)
Presenter: Dr. Hoi-To Wai

SPS ISAC-TWG Webinar: Sensing with Random Communication Signals

Date: 08-August-2025
Time: 08:00 AM ET (New York Time)
Presenter: Dr. Fan Liu

SPS SPTM TC Webinar: Machine Learning Methods for Trustworthy Autonomous Systems

Date: 14-August-2025
Time: 08:30 AM ET (New York Time)
Presenter: Dr. Lyudmila Mihaylova

SPS SLTC/AASP Webinar: Foundational Speech Models and their Efficient Training with NVIDIA NeMo

Date: 27-August-2025
Time: 9:00 AM ET (New York Time)
Presenter: Dr. Piotr Żelasko

SPS ISAC-TWG Webinar: Trade-offs and Non-idealities in ISAC Systems: From Monostatic to Bistatic

Date: 28-August-2025
Time: 08:00 AM ET (New York Time)
Presenter: Dr. Musa Furkan Keskin

SPS SPTM TC Webinar: Unlimited Sensing: Redefining Digital Acquisition, Representation and Signal Processing

Date: 04 September 2025
Time: 9:30 AM ET (New York Time)
Presenter(s): Dr. Ayush Bhandari

SPS SLTC/AASP Webinar: Ambisonics Recording and Encoding – from Spherical Arrays to Wearables

Date: 18-September-2025
Time: 08:00 AM ET (New York Time)
Presenter: Dr. Boaz Rafaely

 

SPS Webinar: Temporal Context Mining for Learned Video Compression

Date: 01-October-2025
Time: 09:00 AM ET (New York Time)
Presenter: Dr. Xihua Sheng

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