Event Details

Date: 14, 22 & 28 May 2025

Time: 10:00 am - 11:00 am (GMT+8)

Location: Online

Overview

It is common practice to have multiple teams working in different frameworks that are required to be integrated into a whole product.  For example, an AI team can be working in Python while the controls and embedded team are working in Simulink, with the data team in MATLAB. These components not only need to collaborate through development but also go into production together. This 3-part webinar series provides a comprehensive overview of the collaboration methods between Python and MATLAB, starting with a big picture of the broader ecosystem before diving into live demonstrations of the low-level bi-directional interaction of MATLAB/Simulink and Python.


Highlights

• Learn about software integration across MATLAB and Simulink, Python, Jupyter and more

• See live demonstrations of the integration of MATLAB and Simulink with Python for A

• Explore how AI can reduce complexity to enable faster simulation and modelling

About the Presenters

Dr. Emmanuel Blanchard   | Senior Education Customer Success Engineer | MathWorks

Dr. Emmanuel Blanchard is a Senior Education Customer Success Engineer at MathWorks, having joined the company as a training engineer in 2014. He later served as an Application Engineer from 2018 to 2024, with a primary focus on data analytics. He has taught various MATLAB courses and specialized topics, including machine learning, statistics, optimization, image processing, and parallel computing. Before joining MathWorks, he was a Lecturer in Mechatronic Engineering at the University of Wollongong. He holds a Ph.D. in Mechanical Engineering from Virginia Tech and has experience as a Systems/Controls Engineer at Cummins Engine Company, as well as a research assistant in several research institutions in California and Virginia.

Dr Peter Brady | Principal Application Engineer | MathWorks

Dr Peter Brady is a Principal Application Engineer with a background in numerical simulation, big data analysis and high-performance computing. Prior to joining MathWorks he worked at several civil and defence contractors undertaking detailed computational fluid dynamics investigations. At MathWorks Australia Peter supports the areas of: maths and statistics, machine and deep learning as well as providing an Australian based contact MathWorks’ autonomous customers to access global resources. He holds a bachelor’s degree in civil engineering and PhD in mechanical engineering. Peter is a member of Engineers Australia and is a Chartered Practicing Engineer in the fields of Civil and Mechanical Engineering as well as Engineering Leadership and Management. He is a member of the Australian Computer Society where he holds the level of Certified Professional.