AM Seminar: Data Analysis Workflow from Low-Code Tools to Generative and Agentic AI

Presenter : Reza Fazel-Rezai, Senior Science and Education Application Engineer, MathWorks Description: Please join us to learn how to accelerate data analysis using a workflow that spans low-code tools, Generative AI, and Agentic AI. Through live demonstrations and practical examples, you’ll see how to import, explore, visualize, model, and process data using interactive tools that require minimal coding. The session will demonstrate how these tools can automatically generate reproducible MATLAB code, how Generative AI can assist with code creation, explanation, and troubleshooting, and how Agentic AI workflows can help plan, execute code, validate results, diagnose issues, and iteratively refine outcomes. Highlights: – Build a data analysis workflow using low-code and interactive tools. – Use Generative AI to support code generation, explanation, and troubleshooting. – Explore how Agentic AI can plan analysis steps, run code, test results, diagnose errors, and iterate toward reliable outcomes. About the speaker: Dr. Reza Fazel-Rezai, with a Ph.D. and MS in Biomedical Engineering and a BS in Electrical Engineering, brings over two decades of experience in both industry and academia. As a senior research scientist, research team manager, and the founding Director and tenured full Professor of Biomedical Engineering, he has extensive expertise and background in the field. Dr. Fazel-Rezai has authored more than 200 scientific publications, edited and published seven books, and pursued diverse research interests in biomedical signal and image processing, particularly through machine learning and deep learning methods. Passionate about leveraging and sharing his skills to help others achieve their goals, he currently serves as an ABET PEV for Biomedical Engineering, works part-time as an instructor at UC San Diego, and is a full-time Senior Science and Education Application Engineer at MathWorks. This seminar is hosted by Professor Pascale Garaud.

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