Our Digital Life Podcast: A series by IEEE-SPS
As the world's largest professional organization, IEEE plays a significant role in enhancing the quality of our lives. Specifically, the IEEE signal processing society or SPS focuses on research and development of audio and speech processing, biomedical analysis, and wireless communication technologies, all of which are key enablers to today's modern society. In this series, we explore more about the works of signal processing and engage with various global speakers.
Podcasting since 2025 • 9 episodes
Our Digital Life Podcast: A series by IEEE-SPS
Latest Episodes
Stopping Counterfeiting with QR Codes and AI
In this episode of the IEEE Signal Processing Society Podcast, Hemang Chawla, Solutions Lead at Scantrust, speaks with Justin Picard, Co-founder and CTO of Scantrust. Their conversation explores how modern signal processing, printing physics, a...
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Season 1
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Episode 9
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34:28
Functional Brain Imaging: Signals, Imaging, and Graphs
Functional Brain Imaging: Signals, Imaging, and GraphsIn this episode of the IEEE Signal Processing Society Podcast, Professor Borbála Hunyadi from the Mental Health and Neuroscience Research Institute, Maastricht University, The ...
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Season 1
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Episode 8
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43:17
Audio Signal Processing in the Era of AI
In this episode of the IEEE Signal Processing Society podcast, Felicia Lim, a staff software engineer at Google, where she works on audio signal processing and machine learning, interviews Dr. Ivan Tashev, Partner Software Architect at Microsof...
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Season 1
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Episode 7
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31:22
Trustworthy Machine Learning and Artificial Intelligence
In this episode of the IEEE Signal Processing Society podcast, Dr. Lav Varshney, Associate Professor of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign interviews Dr. Kush Varshney, an IBM Fellow and globally ...
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Season 1
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Episode 6
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46:21
Efficient Machine Learning Systems for Signal Processing
In this episode of the IEEE Signal Processing Society podcast, Nir Shlezinger from Ben-Gurion University and Yonina C. Eldar from the Weizmann Institute of Science discuss the design of machine learning systems that are inherently efficient.&nb...
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Season 1
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Episode 5
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1:03:23