Industry, Innovation

UCSD & MathWorks Seminar Series

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DateWednesday, February 08, 2023 | 10:00 AM
LocationFranklin Antonio Hall (the Robert Conn Executive Conference Center) Room 4201/4202
ContactCanon Purdy | | 4157474360


Join us for a MATLAB & Simulink day in partnership with UCSD JSOE and open for the entire campus. We will be offering talks on two exciting topics – simulation and deep learning – along with networking and office hours! Bring your questions about the landscape of computational tools and topics such as data science, AI, machine learning, mechatronics and more! 

This session will also include a section on career paths for engineers and scientists – our engineers will share a bit about their personal education and career trajectory – and what technical skills can support your own career paths!

Are you new to Simulink? Have you been interested in using it but not sure how to get started?  Have you been exploring Deep and Machine Learning?  We are pleased to offer a day of MATLAB and Simulink that will include:

  • Two Technical Seminars: Both an introductory session & a more advanced topic
  • The opportunity to have “office hours” with our engineers!
  • Information on the power of Simulink & MATLAB together
  • Resources offered to you under your MathWorks Campus Wide License to support your Simulink & MATLAB use

10 AM Session: Artificial Intelligence with MATLAB

Artificial Intelligence (AI) is transforming engineering in nearly every industry and application area. Success with AI requires more than training an AI model, especially in AI-driven systems that make decisions and act on them. A solid AI workflow involves preparing the data, creating a model, designing the system on which the model will run, and deploying to hardware or enterprise systems. In this session, we explore the fundamentals of AI using MATLAB. We introduce Machine Learning (including Deep Learning) techniques available in MATLAB to quickly explore your data, evaluate models, compare the results, and apply the best technique.

Highlights include:

  • Training, evaluating, and comparing a range of AI models
  • Using refinement and reduction techniques to create models that best capture the predictive power of your data
  • Deploying AI models to production in a variety of formats

1 PM Session: Simulink Was Made for Mechatronics: The Evolution of Testing Intelligent Machines

As today's systems have grown ever smarter, embedded software has taken on an increasingly significant role in integrating a diverse range of electrical and mechanical components to make what seems like magic happen. Developmental testing guides the software design process to optimal system performance, while continuous operational testing assesses the quality and identifies any necessary upgrades. As we all know, more and better testing always helps! But how do you iterate the build and test process and remain fast?

Simulink enables you to replace prototypes with simulations that directly support the software design process. Once hard constraints on time and money for prototypes are relaxed, see what great ideas can come to life in the form of new and better systems!

Our specific agenda:

  • Prototype plant and control in Simulink
    • Model mechanics – import designs from tools like SolidWorks, CATIA, NX, etc.
    • Develop control algorithms informed by the mechanical and electrical design.
    • Deploy field-oriented control for permanent magnet synchronous motor (PMSM).
  • Prototype testing and tuning control algorithm in real-time while connected to PMSM motor
    • Create a real-time application from a Simulink model, step-by-step
    • Connect and interact with hardware such as actuators and sensors
    • Log data and tune parameters while running in real-time
    • Create graphical user interfaces for real-time testing

Who Should Attend

All levels of MATLAB and Simulink users are welcome!

About the Presenters

Terry Denery, Ph.D. Prior to MathWorks, Terry developed rocket motors at Hercules Aerospace (Now Aliant Technologies), and focused deeply on mechanical design and analysis at MSC, supporting use of products like ADAMS, Working Model, and visual NASTRAN. Since joining MathWorks in 2004, Terry has met thousands of engineers to discuss control design and modeling electro-mechanical devices. Education: Ph.D. in Aeronautics/Astronautics, Stanford University; B.S. in Chemical Engineering and Mechanical Engineering, University of Virginia. Please check Terry out on YouTube: Mechatronics, and Control Systems.

Timothy Kyung is an Application Engineer supporting the Government and Department of Defense industry with technical focuses in deployment/interfacing with 3rd party software and parallelization. He holds a B.S. and M.S. in Mechanical Engineering with a focus in robotics from Carnegie Mellon University.


Time Title
10:00 - 11:30 AM PST

Artificial Intelligence with MATLAB

11:45 AM - 1:00 PM PST

Pizza Lunch & Office Hours with MathWorks Engineers

1:00 - 2:00 PM PST Simulink Was Made for Mechatronics: The Evolution of Testing Intelligent Machines
Event Type