From Classroom to Industry: Launching Engineering Careers with Model-Based Design and Agentic AI
Overview
Engineering graduates often leave the classroom with strong theoretical foundations, yet the day-to-day of how real teams design, test, and deliver systems is something most encounter only on the job. This workshop series is built to close that gap.
Across two connected, hands-on sessions, MathWorks engineers will show how modern engineers move from concept to implementation using Model-Based Design with Simulink®. The first session builds a foundation in Model-Based Design and Simulink; the second dives into control system design, confronting the misconceptions that early-career engineers frequently carry from theory into practice. Along the way, you'll also see how generative and agentic AI tools can accelerate your work — an increasingly valuable skill to pair with strong engineering fundamentals.
Whether you’re a student building project-ready skills, an educator preparing the next generation of engineers, or a researcher looking to prototype faster, this series delivers practical skills and curated resources you can put to work immediately.
Highlights
- Build a foundation in Model-Based Design and Simulink®, the industry-standard platform for modeling, simulation, and system-level design
- Move from control theory to real-world control design, tackling five common misconceptions along the way
- Discover generative AI and agentic AI tools that can be used with MATLAB and Simulink to accelerate engineering workflows
About the Presenter
Siddharth Jawahar is a Customer Success Engineer at MathWorks. He partners with educators and researchers to explore computational tools in academia and help integrate them effectively into teaching and scientific workflows. Siddharth has a M.S. in Electrical and Computer Engineering form Georgia Institute of Technology, specializing in control systems.
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.
Brandon Trombley, Global Technical Account Manager, MathWorks: Brandon Trombley has served as MathWorks’ Global Technical Account Manager since 2018. Prior to joining MathWorks, Brandon had a 20 year career working primarily for automotive Tier 1 suppliers in various roles — including managing a team to establish an ISO 26262-qualified workflow for model-based design in AUTOSAR; vehicle crash algorithm subsystem architecture design; component development; production code generation, validation, and calibration; MATLAB/Simulink tool development and deployment; signal processing; sensor modeling; vision systems; and business intelligence. Brandon holds a bachelor’s degree in physics from the University of Michigan and pursued graduate studies in electrical engineering at the University of Michigan, Dearborn.
| Date | Topic | |
|---|---|---|
| 15 Sep 2026 |
Building Industry-Ready Skills with Model-Based Design, Simulink, and Agentic AI |
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| 20 Oct 2026 |
From Control Theory to Practice: Addressing Misconceptions in Control Design |
Learn More & Register |