AI for Wireless: MATLAB and PyTorch Interoperability
| Start Time | End Time |
|---|---|
| 24 Sep 2025, 09:00 EDT | 24 Sep 2025, 10:00 EDT |
| 24 Sep 2025, 14:00 EDT | 24 Sep 2025, 15:00 EDT |
Overview
In this webinar, you will learn how MATLAB works together with deep learning frameworks, including PyTorch, to provide enhanced capabilities for building and training your machine learning models. Through interoperability, you can take full advantage of the MATLAB ecosystem and integrate it with resources developed by the open-source community. You can combine workflows that include applications such as compressing and reconstructing Channel State Information (CSI), positioning and sensing and antenna pattern reconstruction.
Highlights
- MATLAB-PyTorch interoperability
- Channel State Information (CSI) compression
- AI-native receiver
- Antenna pattern reconstruction
Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.
About the Presenter
Dr. Ethem Sozer is a principal software engineer at MathWorks Inc. in Natick, MA. He specializes in software development for signal processing and communications toolboxes. His work focuses on AI/ML algorithms for wireless communications including software defined radio (SDR) implementation of these algorithms. Previously he was a research engineer at Massachusetts Institute of Technology, where he developed underwater acoustic communication hardware and software platforms. He has bachelor's and master's degrees from Middle East Technical University, and a Ph.D. from Northeastern University.
Dr. Houman Zarrinkoub is a principal product manager at MathWorks responsible for wireless communications products. During his 24-year tenure at MathWorks, he has also served as a development manager and has been responsible for multiple signal processing and communications software tools. Prior to MathWorks, he was a research scientist working on mobile and voice coding technologies in the Wireless Group at Nortel Networks. He has been awarded multiple patents on topics related to computer simulations of signal processing applications. Houman is the author of the book Understanding LTE with MATLAB: From Mathematical Modeling to Simulation and Prototyping. He holds a B.Sc. degree in electrical engineering from McGill University and M.Sc. and Ph.D. degrees in telecommunications from the University of Quebec, in Canada.
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