Our Digital Life Podcast: A series by IEEE-SPS

In this episode of IEEE Signal processing Society podcast, Dr. Shinji Watanabe, an Associate Professor at Carnegie Mellon University interviews two guests: Dr. Jonathan Le Roux, Distinguished Research Scientist and Dr. Gordon Wichern, both from Mitsubishi Electric Research Laboratories (MERL). 

Dr. Jonathan Le Roux

Dr. Jonathan Le Roux is a Distinguished Research Scientist and Senior Team Leader at Mitsubishi Electric Research Laboratories (MERL) in Massachusetts. His research interests focus on signal processing and machine learning for speech and audio. He has authored more than 200 articles, along with 50 granted patents. He has been a m...

In this episode, Prof. Hung-yi Lee, Professor at National Taiwan University, interviews Dr. Jinyu Li, Partner Applied Science Manager at Microsoft. Their conversation traces the evolution of speech translation from traditional cascaded pipelines to today's end-to-end, large language model (LLM)-powered systems. 

Jinyu Li

Dr. Jinyu Li is Partner Applied Science Manager at Microsoft, where he leads a science team advancing speech, translation, and language technologies. He is an IEEE Fellow and an ISCA Fellow for contributions to deep-learning-based speech technology innovation, adoption, and commercialization. He has served on the IEEE Speech and L...

In this episode, Nantheera Anantrasirichai (Pui), Professor of Visual Computing at the University of Bristol, interviews Professor Alin Achim, Chair of Computational Imaging at the University of Bristol. Their conversation focuses on synthetic aperture radar (SAR), interferometric synthetic aperture radar (InSAR), and the role of computational imaging, signal processing, and machine learning in earth observation.

Alin Achim

Professor Alin Achim is Chair of Computational Imaging at the University of Bristol. He received his B.Sc. and M.Sc. degrees in electrical engineering from “Politehnica” University of Bucharest, Romania, and his Ph.D. in Biom...

In this episode, Marco Huber speaks with Marija Ivanovska, Assistant at the Faculty of Electrical Engineering, University of Ljubljana, Slovenia. They discuss face morphing attacks and their impact on biometric identity systems, exploring how morphed images can deceive face recognition technologies used in passports and ID documents. The conversation also examines emerging approaches to detecting these attacks, including foundation models, multimodal AI, synthetic data, and other advances in trustworthy biometrics.

Marija Ivanovska

Marija Ivanovska is an Assistant at the Faculty of Electrical Engineering, University of Ljubljana, Slovenia, and a member of the Laboratory...

In this episode of the IEEE Signal Processing Society podcast, Dr. Yan Qiao, an Associate Professor at the School of Computer Science and Information Engineering, Hefei University of Technology, interviews Professor Meng Li from Hefei University of Technology, whose research focuses on applied cryptography, secure and trustworthy data sharing, blockchain, privacy preservation, and Trusted Execution Environments (TEE). 

Professor Meng Li

Professor Meng Li is a Professor at the School of Computer Science and Information Engineering, Hefei University of Technology (HFUT), China. He earned his Ph.D. in Computer Science and Technology from the B...

In this episode of the IEEE Signal Processing Society podcast, Dr. Rogério Augusto Bordini, a Post-doctoral Researcher and Science Journalist at the Artificial Intelligence Lab., Recod.ai, University of Campinas (Unicamp), interviews Dr. Anderson Rocha, Full Professor at the University of Campinas (Unicamp) specializing in Artificial Intelligence, Digital Forensics, and Reasoning for Complex Data. Their conversation explores how modern signal-processing techniques have been explored in various social sectors.

Dr. Anderson Rocha  

Professor Anderson Rocha, Former Director of Unicamp's Institute of Computing and two-time Chair of the IEEE Information Forensics and Security Technical Co...

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 company specializing in product authentication and traceability solutions. Originally from Canada and now based in Switzerland, Dr. Picard completed his Ph...

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 and computational methods, are transforming our understanding of brain function in health and disorder.

Dr. Dimitri Van De Ville

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 Software Architect at MSR in Redmond, WA, USA, where he leads the Audio and A...

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 making AI systems not only accurate but also fair, robust, explainable, transparent, inclusive, and beneficial. He i...

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 communications. He has been recognized with several prestigious awards, including the IEEE Communications Society Fred W. Ellersick Prize and the 2024 Kr...

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 Pittsburgh and a leading researcher in speech and language processing. His work spans automatic speech recognition, speech enhancement, spoken language understanding, and machine learning f...

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 Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. His research bridges mathematics, algorithms, statistics, an...

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 technological advancements.

Professor Sergios Theodoridis
Prof. Theodoridis has made countless contributions to the field of signal processing and machine learning. He has authored several books, received multiple...

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 have revolutionized medical imaging, improving diagnostic and therapeutic accuracy. In this podcast, she discusses how AI advancements continuously push the boundaries of medical imaging, providing cli...