Our Digital Life Podcast: A series by IEEE-SPS

IEEE-SPS•www.buzzsprout.com

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.

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Episodes

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 Microsoft Research (MSR) – Redmond USA, where he leads the Audio and Acoustics Research Group. Their conversation explores the rapid development of novel algorithms in AI and their impact on the audio processing domain. Dr. Ivan Tashev Dr. Ivan Tashev is a Partner...

Oct 06, 2025•31 min•Season 1Ep. 7

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 recognized expert in trustworthy machine learning. Their conversation explores the multifaceted landscape of trustworthy AI. Kush Varshney Kush R. Varshney is an IBM Fellow at IBM Research and a leading authority on trustworthy AI. His work focuses on maki...

Sep 05, 2025•46 min•Season 1Ep. 6

Efficient Machine Learning Systems for Signal Processing

Nir Shlezinger and Yonina Eldar discuss model-based deep learning, an approach combining signal processing principles with modern data-driven techniques. They highlight its advantages in designing efficient systems by integrating physical models and mathematical structures, addressing challenges like computational complexity, interpretability, and adaptivity faced by traditional deep learning in signal processing applications. The discussion covers methodologies like deep unfolding and augmenting classic algorithms such as the Kalman filter and Viterbi algorithm.

Jul 16, 2025•1 hr 3 min•Season 1Ep. 5

The Cutting Edge of Speech Recognition

In this episode of the IEEE Signal Processing Society podcast, Dr. Sanjeev Khudanpur, Director of the Center for Language and Speech Processing, Johns Hopkins University interviews Associate Prof. Shinji Watanabe, Language Technologies Institute, Carnegie Mellon University. They talk about the latest research and innovations in speech recognition technologies and their impact across various industries. Shinji Watanabe Shinji Watanabe is an Associate Professor at Carnegie Mellon University in Pit...

May 27, 2025•29 min•Season 1Ep. 4

AI Revolution in Communications: Large Language Models and Beyond

This episode features Prof. Merouane Debbah discussing the transformative impact of AI and large language models (LLMs) on wireless networks. He traces AI's history in communication, highlights concrete applications like dynamic spectrum management and AI-based localization, and shares his early vision for LLMs in telecom. The discussion delves into 6G's role as a network for AI, the development of RFGPT and on-device LLMs, and the future of grounded AI, digital twins, and specialized hardware.

Apr 08, 2025•50 min•Season 1Ep. 3

Signal Processing and AI Synergies

In this episode of the IEEE Signal Processing Society podcast, Dennis K. Chrogony, Education Board Outreach and Visibility Committee Member interviews Sergios Theodoridis, Professor Emeritus, Signal Processing and Machine Learning, National and Kapodistrian University of Athens, Greece, Aalborg University, Denmark, and Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, China. They delve into the evolution and impact of signal processing and AI and machine learning on techn...

Feb 21, 2025•55 min•Season 1Ep. 2

AI-Powered Medical Imaging

In the first podcast sponsored by the IEEE Signal Processing Society, Ervin Sejdić, Professor at University of Toronto’s Edward S. Rogers Sr. Department of Electrical & Computer Engineering interviews April Khademi, Associate Professor of Biomedical Computer and Electrical Engineering at Toronto Metropolitan University and Canada Research Chair in AI for Medical Imaging. April Khademi April, an expert in AI-driven medical image analysis, focuses on AI-driven signal processing methods that ha...

Jan 06, 2025•31 min•Season 1Ep. 1

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