Visual Data to Insights: Getting Started with Vision-Based Analysis with MATLAB and Agentic AI Workflows
| Start Time | End Time |
|---|---|
| 13 Oct 2026, 1:00 PM EDT | 13 Oct 2026, 2:30 PM EDT |
Overview
Image processing and computer vision techniques help students, engineers and researchers extract useful information from images, videos, volumes, and point clouds to solve real-world problems. As agentic AI becomes more relevant in technical workflows, building vision-based solutions introduces new challenges and opportunities.
Highlights
In this seminar, we explore how MATLAB and Simulink tools help you get started with image processing and computer vision workflows, including:
- Apps for exploration and preprocessing
- Working with large data and datasets
- Deep learning workflows for vision applications
- Agentic AI toolkits in MATLAB and Simulink
- Integration with other languages and deploying to hardware
Who Should Attend
Students, faculty and researchers working with cameras and lidars and need to process the vision data. Also relevant are student groups.
About the Presenter
Kautilya Vemulapalli is a Customer Success Engineer at MathWorks. Since joining in 2019, he has supported a wide range of technologies including Image Processing, Computer Vision, Medical Imaging, Deep Learning, Robotics and Autonomous Systems. Prior to MathWorks, Kautilya was a Senior Systems Engineer at Asteria Aerospace, where he managed the development and testing of UAVs. He holds a B.S. and M.S. in Aeronautics and Astronautics Engineering from Purdue University and an M.S. in Engineering and Management from MIT.
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