"Elevating Your Artificial Intelligence Skills with MATLAB and Simulink: A Comprehensive Webinar"

 

 

Low-Code Engineering: Simplify Optimization & Signal Processing

Why Should You Attend?

Getting Started with MATLAB for Engineering: Low Code, Optimization, and Signal Processing Made Easy

Engineering challenges are becoming more complex—but solving them doesn’t have to be. In this 45-minute webinar series, we’ll show you how low-code tools in MATLAB® can help you tackle real-world problems without the need for extensive programming. Whether you're optimizing resources, rapidly prototyping a new design, or analyzing and deploying signal processing applications, this series is designed to make your workflow easier, faster, and more efficient.

Each session focuses on practical applications that you can relate to—backed by real use cases and tools you can start using right away. The 3-part series focuses on making powerful automation and rapid prototyping tools accessible and straightforward for anyone.

• Optimization Made Easy with Low-Code: Solve Real-World Problems Without Heavy Coding
• Accelerate Your Design Cycles: Rapid Prototyping & Automated Validation with MATLAB and Analog Discovery 3

• Signal Processing Made Easy with Low-Code: From Analysis to App Deployment

WHAT TO EXPECT
Getting Started with MATLAB for Engineering: Data, Optimization, and Automation Made Easy

Our Speakers

Learn & ask our team of Application Engineers technical questions!

[Jonathan Tee]
Application Engineer

Jonathan, an Application Engineer, holds a Master of Engineering degree in Electrical and Electronics from Nottingham Malaysia. With expertise in RF and microwave technology, he has designed Phased Arrays and tackled Signal and Power Integrity challenges. His passion extends to using MATLAB for Communication Systems and RF Propagation. In his spare time, he's a 3D modeling enthusiast and has even built his own 3D printer from scratch.

[Jihan]
Application Engineer

Jihan is an Application Engineer at Techsource Systems, focusing on HDL/FPGA design and deployment and Machine Learning applications. She specializes in digital hardware design, IoT-driven automation, predictive maintenance solutions, and system optimization in semiconductor production.

She graduated with a Bachelor's Degree in Electrical Engineering from Purdue University and has professional experience working as a design engineer in the semiconductor and consumer products industry. 

 

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Tackle Engineering Challenges Faster and Smarter

Don’t miss this chance to see how MATLAB empowers engineers to simplify workflows, optimize designs, and streamline signal processing using low-code tools.

 

8 July, 3.00-3.45pm (GMT+8)
Optimization Made Easy with Low-Code: Solve Real-World Problems Without Heavy Coding
Overview
Optimization helps organizations make smarter decisions, reduce costs, and improve performance—but traditional methods often require complex coding. This webinar shows how low-code tools simplify the process, enabling users to define problems, apply solvers, and interpret results with minimal programming.
 
 
Highlights
• Core optimization concepts using low-code tools
• Live examples: scheduling, allocation, parameter tuning
• Building models using interactive apps
• Solver workflows without advanced coding
• Best practices for result visualization and analysis
  
 
Key Takeaways
• Solve constrained/unconstrained problems with ease
• Define objectives and constraints using intuitive interfaces
• Leverage built-in solvers to accelerate solutions
• Visualize results to support data-driven decisions
 
 
Who should attend
• Engineers, analysts, and planners improving workflow performance
• Educators and students exploring optimization techniques
• Professionals in manufacturing, energy, logistics, finance, and healthcare
• Anyone seeking a user-friendly approach to real-world problem solving

 

10 July, 3.00-3.45pm (GMT+8)
Accelerate Your Design Cycles: Rapid Prototyping & Automated Validation with MATLAB and Analog Discovery 3
Abstract
Using the Digilent Analog Discovery 3 and the automation capabilities of MATLAB, we'll demonstrate how to streamline your design, test, and validation workflows.
 
Iterate tests faster, reduce manual effort by using automated report generation, and ensure the reliability of your designs with a cost-effective solution. This webinar is ideal for engineers, researchers, and students interested in practical, accessible test automation.
 
Highlights
• How to set up and control the Analog Discovery 3 directly from MATLAB.
• Automate repetitive functional tests with ease.
• Generate professional, shareable test reports with a single click.

• Gain insights into cost-effective and agile testing for your projects.

 
15 July, 3.00-3.45pm (GMT+8)
Signal Processing Made Easy with Low-Code: From Analysis to App Deployment
Overview
Signal processing powers everything from audio and sensor analysis to real-time monitoring and communications. But traditional workflows often demand deep expertise and complex coding.
 
In this session, discover how MATLAB® simplifies the process with low-code tools—making signal analysis faster, more intuitive, and easier to scale. You’ll learn to filter, transform, and visualize real-world signals using interactive apps and built-in functions, and even turn your workflow into a deployable app for collaboration and reuse.
 
Highlights
• Get started with signal processing using low-code tools
• Use interactive apps for filtering, spectrum, and time-frequency analysis
• Extract features from real-world signals (e.g., vibration, ECG, audio)
• Visualize data with built-in plots
• Package and deploy your workflow as a standalone app
• Automate analysis and connect with larger systems
  
Key Takeaways
• Reduce coding time and accelerate development
• Work easily with noisy or non-stationary signals
• Build reusable tools to support collaboration
• Bring your signal processing workflow from prototype to production
 
Who Should Attend
Ideal for engineers, researchers, educators, students, and technical teams working with sensor, audio, biomedical, or communication data—especially those looking to streamline workflows and build deployable tools using low-code solutions

Why Attend?

Engineering projects today demand speed, accuracy, and the ability to adapt to real-world data challenges.

Turn Raw Data into Actionable Insights

Learn how to preprocess and manage complex datasets efficiently using built-in tools.

Accelerate Design with Optimization Techniques

Explore how optimization improves system performance and reduces development time.

Automate Repetitive Tasks with Low-Code Workflows

Save time and reduce errors by creating scalable, reusable automation routines in MATLAB.

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