Welcome to our exciting webinar series designed to introduce you to various topics and applications in MATLAB, Artificial Intelligence (AI) with MATLAB, ROS with MATLAB and Simulink, and Simulink development for DC-DC Converter control. Each session will provide valuable insights and practical knowledge to enhance your understanding and skills in these areas. Join us as we explore the capabilities and potential of these powerful tools.
Introduction to MATLAB
June 6, 2023 | 15:00pm-16:30pm (GMT+7) | Via ZOOM
Are you working with engineering or scientific data? Trying to develop an algorithm or model, create a report, or just gain some insights? Join us for this session where we will show how to use the high-level MATLAB language and interactive tools to solve an example problem.
Introduction to Artificial Intelligence with MATLAB
June 12, 2023 | 15:00pm-16:30pm (GMT+7) | Via ZOOM
Machine Learning and Deep Learning techniques for creating fast and reliable models. Incorporating lots of data to produce accurate AI models. Low-code approaches for preprocessing and model development. Applications well suited for AI model deployment
Integrating with AI models from other frameworks.
Exploring the Power of ROS with MATLAB and Simulink: An Introduction
June 21, 2023 | 15:00pm-16:30pm (GMT+7) | Via ZOOM
The Robot Operating System (ROS) interface from MathWorks allows you to leverage the power of MATLAB® and Simulink to quickly prototype, test, and verify your robotics algorithms by providing direct access to all ROS-enabled robots and simulators such as Gazebo and V-REP. The interface enables you to develop your robotics algorithms in
MATLAB and Simulink, while giving you the ability to exchange messages with other nodes on ROS networks. The interface has been used by experts from automotive, defense, medical devices, and other industries, and it has also been widely adopted in classroom teaching and academic research.
How to Develop DC-DC Converter Control in Simulink
July 12, 2023 | 15:00pm-16:30pm (GMT+7) | Via ZOOM
Learn how to model and simulate a DC-DC converter in Simulink® and Simscape Electrical. Get a demonstration of SEPIC circuit topology and how to model and simulate a DC-DC converter that powers a strip of LEDs. MathWorks engineers show how to use Simulink and Simscape Electrical to develop, simulate, and implement a controller that maintains desired output voltage in the presence of input voltage variations and load changes to achieve a fast and stable response. See how to use control algorithms to generate embedded code optimized for implementing on a Texas Instruments™ C2000™ microcontroller. Also explore hardware-in-the-loop (HIL) testing of the microcontroller using a Speedgoat real-time target machine.
Using a Simscape Electrical model deployed to an FPGA implemented in a Speedgoat real-time target machine for HIL testing.
Intan Nuralisa is an Application Engineer at TechSource Systems, Malaysia. She works to improve the adoption of MATLAB and toolboxes in universities around Southeast Asia. Engaging with customers to comprehend their technical and business challenges.
Previously, she worked as Research Assistant at Universiti Teknologi Malaysia that focuses on signal processing, water treatment and desalination processes. She graduated from Universiti Teknologi Malaysia with a Master of Philosophy (MPhil) in Chemical Engineering and a Bachelor Engineering in Chemical-Gas Engineering.
She has built her forte in data analysis, deep learning for communications, statistical analytic with MATLAB. Currently her main interest is in control systems, predictive maintenance, and robotic systems.
Rasyiqah 'Annani is an Application Engineer at TechSource Systems, specializing in the domains of Image Processing, Computer Vision, Machine Learning, and Deep Learning with MATLAB. She leverages her expertise to assist diverse clients from various industries in a wide range of projects, including Real-time Object Recognition, Deep Learning and Computer Vision-based detection of manufacturing defects, data forecasting analytics, and multiple image processing endeavors.
To enhance her proficiency, Rasyiqah actively participates in MathWorks training courses covering topics such as robotics, image processing, artificial intelligence applications, and more. Additionally, she support in conducting seminars and workshops catering to both commercial and educational clients across the ASEAN region, with a particular focus on Malaysia and Indonesia
Rasyiqah holds a Master of Engineering Technology (Electrical and Electronics) from Universiti Kuala Lumpur. Her research interests revolve around image processing and computer vision, specifically utilizing artificial intelligence for the classification of medical images.
Claudine specialized in modeling and simulation, Verification, Code generation, and tool automation with MATLAB/Simulink/Stateflow and cross-software configuration. Exposed to various sensor fusion and navigation applications, leveraging her expertise in the field of the autonomous system with ROS interface.
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