Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Total monthly reach
Estimated from 12 chart positions in 12 markets.
By chart position
- 🇩🇪DE · Physics#23100K to 300K
- 🇦🇺AU · Physics#28100K to 300K
- 🇺🇸US · Physics#8830K to 100K
- 🇰🇷KR · Physics#17100K to 300K
- 🇮🇳IN · Physics#3030K to 100K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
280K to 860K🎙 ~2x weekly·9 episodes·Last published 3mo ago - Monthly Reach
Unique listeners across all episodes (30 days)
560K to 1.7M🇩🇪17%🇦🇺17%🇰🇷17%+9 more - Active Followers
Loyal subscribers who consistently listen
168K to 516K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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Total Plays
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Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
Stopping Counterfeiting with QR Codes and AI
Mar 13, 2026
34m 28s
Functional Brain Imaging: Signals, Imaging, and Graphs
Mar 11, 2026
43m 17s
Audio Signal Processing in the Era of AI
Oct 6, 2025
31m 22s
Trustworthy Machine Learning and Artificial Intelligence
Sep 5, 2025
46m 21s
Efficient Machine Learning Systems for Signal Processing
Jul 16, 2025
1h 03m 23s
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| Date | Episode | Description | Length | |
|---|---|---|---|---|
| 3/13/26 | 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, and machine learning are being combined to combat the global problem of product counterfeiting through secure QR codes and copy detection technology. Dr. Justin Picard Dr. Justin Picard is the Co-founder and Chief Technology Officer of Scantrust, a compa... | 34m 28s | |
| 3/11/26 | Functional Brain Imaging: Signals, Imaging, and Graphs | Functional Brain Imaging: Signals, Imaging, and Graphs In this episode of the IEEE Signal Processing Society Podcast, Professor Borbála Hunyadi from the Mental Health and Neuroscience Research Institute, Maastricht University, The Netherlands interviews Dr. Dimitri Van De Ville, Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL) and the University of Geneva, Switzerland. Their conversation explores how modern neuroimaging modalities, combined with advanced signal processing... | 43m 17s | |
| 10/6/25 | 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. Iv... | 31m 22s | |
| 9/5/25 | 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 focus... | 46m 21s | |
| 7/16/25 | 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. Nir Shlezinger and Yonina C. Eldar Nir Shlezinger is an Assistant Professor in the School of Electrical and Computer Engineering at Ben-Gurion University of the Negev, Israel. His research spans signal processing, machine learning, and commun... | 1h 03m 23s | |
| 5/27/25 | 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 Univers... | 29m 05s | |
| 4/8/25 | AI Revolution in Communications: Large Language Models and Beyond | In this episode of the IEEE Signal Processing Society podcast, Prof. Samson Lasaulce, Chief Research Scientist at Khalifa University (KU) interviews Prof. Merouane Debbah, founding Director of the KU 6G Research Center. They talk about how AI is transforming the future of wireless communications, the use of large language models (LLMs) to revolutionize network management, improve communication protocols, and advance automation. About the speaker Mérouane Debbah is a Professor at Khalif... | 50m 06s | |
| 2/21/25 | 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 te... | 55m 26s | |
| 1/6/25 | 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 t... | 30m 32s |
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Chart Positions
13 placements across 12 markets.
Chart Positions
13 placements across 12 markets.