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Get ready to roll up your sleeves at MATLAB EXPO 2025 – our global online event is back, and this year we’re offering 10 hands-on workshops designed to spark innovation and deepen your skills with MATLAB Online and Simulink Online.
Whether you're exploring AI, modeling batteries, or building carbon trackers, these live workshops are your chance to:
- Work directly in MATLAB and Simulink Online
- Solve real-world challenges with guidance from MathWorks experts
- Connect with peers across industries
- Ask questions and get live feedback
Join the Experience to learn more about each workshop below!
Which workshop are you most excited to attend?!
Day 1:
- Beyond the Labels: Leveraging AI Techniques for Enlightened Product Choices
- A Hands-On Introduction to Reinforcement Learning with MATLAB and Simulink
- Curriculum Development with MATLAB Copilot and Generative AI
- Simscape Battery Workshop
- Generating Tests for your MATLAB code
Day 2:
- Hands-On AI for Smart Appliances: From Sensor Data to Embedded Code
- A Hands-On Introduction to Reduced Order Modeling with MATLAB and Simulink
- Introduction to Research Software and Development with Simulink
- Hack Your Carbon Impact: Build and Publish an Emissions Tracker with MATLAB
- How to Simulate Scalable Cellular and Connectivity Networks: A Hands-On Session
We look forward to Accelerating the Pace of Engineering and Science together!
There will be an introductory hand-on SimBiology workshop following ACoP on Friday, Oct 24 at University of Florida, Orlando Campus, sponsored by Prof. Sihem Bihorel.
To register, please send me a direct message from the community site or e-mail me at fbuyukoz[at]mathworks.com. Please also let your colleagues know who might be interested in attending. Space is limited and will be allocated to those who sign up first.
Agenda
Introduction
- Overview of MATLAB and SimBiology
- Navigating the SimBiology desktop environment
- Working with a SimBiology project
Building and Simulating Mechanistic Models, using a TMDD example
- Overview of the building blocks and modeling architecture
- Building models using the SimBiology block diagram editor
- Configuring simulation-related settings (solvers, tolerances, sampling time, etc.)
- Exploring model dynamics and sensitivity using parameter sliders and sensitivity analysis
- Simulating hypothetical scenarios and dosing schedules
Implementing Traditional Compartmental PK/PD Workflows, using a 1 compartment PK model as example
- Importing, processing and visualizing data
- Performing non-compartmental analysis (NCA)
- Estimating parameters using nonlinear regression and population-based methods
Programmatic SimBiology and Integration with MATLAB
- Writing custom analysis tasks
- Automating workflows using MATLAB scripts
