MATLAB Day at UOW: Power and AI*
Overview
Join MathWorks and the IEEE NSW IAS/IES/PELS Joint Chapter to discover how MATLAB’s low-code tools can accelerate data analysis, how Model-Based Design can streamline system development, and how to interface with digital hardware for rapid prototyping.
Explore focused tracks in power electronics and AI, featuring topics such as automated grid studies, renewable energy model validation, advanced image analysis, and reinforcement learning.
Gain hands-on skills and actionable insights to advance your research and projects.
As this event is catered, please send dietary requirements to cindyc@mathworks.com.
Highlights
Low-Code Data Analysis: Discover MATLAB’s low-code tools for efficient data analysis, including data import, visualization, manipulation, machine learning, and integration with Python—all with minimal coding.
Model Based Design: Learn how using models from which we automatically generate code can streamline complex system delivery, accelerate development, improve quality, and enhance cross-team collaboration.
Interfacing of Digital Hardware Using MATLAB: Explore Hardware-in-the-Loop (HIL) simulation and full-scale prototype development using digital hardware platforms such as Arduino, Texas Instruments DSP, and dSPACE.
Power Track:
Automating and Quality Controlling Grid Connection Studies: Discover an automated workflow (for quality controlling AEMO DMAT/GPS studies) that automatically validates the requirements, performs parameter optimisation, builds documentation, and works with AEMO recommended packages.
Renewable Energy Power Plant Model Validation: Explore the model validation process for renewable energy systems using replay of field data. Automatically tune parameters to create a digital twin that accurately emulates real system performance.
AI Track:
AI Workflows for Analysing Medical, Aerial and Satellite Images: Discover how MATLAB streamlines medical and aerial image analysis— from importing, visualizing, segmenting, and labeling image data, to training AI models and generating production-ready code.
Reinforcement Learning with MATLAB and Simulink: Explore how RL lets computers learn complex tasks through trial and error in dynamic environments. This approach enables decision-making without explicit programming or human intervention.
Who Should Attend
Lecturers, researchers, students, and industry engineers with an interest in Renewable Energy, Grid Connection Studies, Power Electronics, Data Analytics, or AI.
About the Presenter
Dr Emmanuel Blanchard is a Senior Education Engineer at MathWorks. He was a Lecturer in Mechatronics at UOW before joining MathWorks in 2014. He holds a Ph.D. in Mechanical Engineering from Virginia Tech.
Dr Muhammad Ali is an Application Engineer at MathWorks working with Simulink and Simscape. Ali has a background in renewable energy integration and microgrids. He holds a Ph.D. in Electrical Engineering from UNSW.
Daniel Lim has been at MathWorks for the last 19 years managing its business relationships with both Industrial and Academic users. He holds a B. Eng in Electrical Engineering from Swinburne.
Dr Rabiul Islam is an Associate Professor in Electrical Power Engineering at UOW. His research focuses on power electronics, renewable energy systems, and future power grids. He holds a Ph.D. in Electrical Engineering from UTS.
Mr Shuvra Biswas is a Ph.D. researcher and Associate Lecturer in Electrical Power Engineering at UOW. His research focuses on power electronics and grid connection and synchronization of renewable energy units.
Agenda
| Time | Title | |
| 8:45 | Registration | |
| 9:10 | Welcome and Introduction | |
| 9:15 | A Common Platform for Academia and Industry (Daniel Lim) | |
| 9:30 | Low-Code Data Analysis (Dr Emmanuel Blanchard) Model Based Design (Dr Muhammad Ali) |
|
| 11:00 | Morning Tea | |
| 11:30 | Interfacing of Digital Hardware Using MATLAB (A/Prof. Rabiul Islam and Mr Shuvra Biswas) | |
| 12:30 | Lunch | |
| 1:30 | Track 1: Automating and Quality Controlling Grid Connection Studies (Dr Muhammad Ali) | Track 2 - AI Workflows for Analysing Medical, Aerial and Satellite Images (Dr Emmanuel Blanchard) |
| 2:15 | Track 1 - Renewable Energy Power Plant Model Validation (Dr Muhammad Ali) | Track 2 - Reinforcement Learning with MATLAB and Simulink (Dr Emmanuel Blanchard) |
| 3:00 | Concluding remarks, Afternoon Tea and networking | |
| 3:30 | End | |
