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16 Nov

SPS BISP TC Webinar: IEEE DataPort: Why and How to Use it for Challenges

Date: 16 November 2023
Time: 10:00 AM ET (New York Time)
Presenter(s): Melissa Handa

Website Link: 
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15 Nov

Career Development Webinar: Preparing for Career Networking: From Planning to Execution

Date: 15 November 2023
Time: 12:00 PM ET (New York Time)
Presenter(s): Marc Perron

Website Link: 
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20 Oct

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IEEE JSTSP Webinar: Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

Date: 20 October 2023
Time: 9:00 AM ET (New York Time)
Presenter(s): Zhaohui Yang

Website Link: 
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09 Nov

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SPS-IFS TC Webinar: Progressive JPEGs in the Wild: Implications for Information Hiding and Forensics

Date: 9 November 2023
Time: 10:00 AM ET (New York Time)
Presenter(s): Ms. Nora Hofer

Website Link: 
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23 Oct

New SPS Panel Series: The Impact of Recent ML & AI Advancements in Signal Processing Education

Date: 23 October 2023
Time: 1:00 PM - 3:00 PM ET (New York Time)
Panelists: Alan Bovik, Edward J. Delp, Sharon Gannot, Aggelos K. Katsaggelos
Anna Scaglione, Andreas Spanias

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16 Oct

SA-TWG Webinar: Low Frequency Communications and Distributed Processing for Autonomous Systems

Date: 16 October 2023
Time: 11:00 AM ET (New York Time)
Speaker(s): Dr. Brian Sadler

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25 Oct

SA-TWG Webinar: Mathematical Models vs. Reality in Array Signal Processing

Date: 25 October 2023
Time: 11:00 AM ET (New York Time)
Speaker(s): Dr. Benjamin Friedlander

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28 Nov

SPS Webinar: Iris Liveness Detection Using a Cascade of Dedicated Deep Learning Networks

Date: 28 November 2023
Time: 9:00 AM ET (New York Time)
Presenter(s): Dr. Juan Tapia

Website Link: 
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20 Dec

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Webinar

SPS Webinar: Deep Networks for Direction-of-Arrival Estimation in Low SNR

Date: 20 December 2023
Time: 8:00 AM ET (New York Time)
Presenter(s): Dr. Georgios Papageorgiou, Dr. Mathini Sellathurai

Website Link: 
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07 Sep

SPS-IFS TC Webinar: Detection and Generation of Deep Fakes

Date: 7 September 2023
Time: 10:00 AM EDT (Local time)
Presenter(s): Prof. Peter Eisert

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