Webinar Series :
Data PreProcessing

Tired of Coding? Discover Low-code Workflows 
A 4-Part Webinar Series with Real-World Use Cases

 

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

 

 

Why Attend?

Transform Your Data with Our Data Preprocessing Webinar Series!

Unlock the full potential of your data with hands-on techniques and minimal coding. In this series, you'll learn to:

• Preprocess and optimize complex data, from logs to time-series trends, for AI-driven predictive maintenance.
• Integrate hardware, sensors, and databases into your workflows, turning streaming data into actionable insights.
• Explore powerful image preprocessing methods for industrial applications, including OpenCV integration for custom visual inspections.
• Streamline medical image data analysis, improving research and diagnosis in pathology and radiology.
WHAT TO EXPECT
Data-preprocessing-time-series-image-data

Our Speakers

Learn & ask our team of Application Engineers technical questions!

[Supamith Sutharojana]
Application Engineer Team Lead

Supamith is an Application Engineer Team Lead at Ascendas Systems, specializing in data analytics across industries. He has expertise in using MATLAB to handle complex databases, unstructured industrial data, and fleet data, focusing on preprocessing and cleaning to derive actionable insights for improved decision-making.

[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.

[Kantika Wongkasem]
Application Engineer

Kantika Wongkasem works for Ascendas Systems in Thailand as an Application Engineer. She works with customers in Southeast Asia to introduce and support MATLAB and Simulink products. She specialized in Data Science and image Processing with MATLAB as well as being involved in projects involving machine learning, deep learning, and predictive maintenance.

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Open-Source VS MATLAB: Why & Who's Using?

Don’t miss the opportunity to learn how MATLAB empowers engineers and data scientists to tackle real-world challenges with AI.
21 Jan, 3-4pm (GMT+8)
Effortlessly Preprocess Complex Data: From Logs to Time-Series Trends
Abstract
This webinar provides an overview of how to manage unstructured log files or time series data using different workflows. Discover how to optimize your data preprocessing workflow for maintenance logs, sensor data, and delimited files while preparing for advanced applications in AI and Predictive Maintenance or even for potential forecasting scenarios.
 
Highlights
• Understand the critical role of preprocessing Time Series and Log Data
• Demonstration on preprocessing tasks
• Explore interactive tutorials, use low-code automation tools, and create reusable workflows for data preprocessing tasks
 
Who Should Attend
• Engineers, scientists, and analysts who work with log and time-series data across industries
• Professionals looking to streamline data preprocessing for predictive maintenance, IoT applications, or monitoring systems
• Beginners and advanced users who want to leverage MATLAB’s documentation, online platform, and automation tools
 
Sneak Peek of the Next Session
In the upcoming webinar, learn how to work with large datasets and integrate hardware using MATLAB Desktop without additional programming - an easy way to separate software and hardware issues!
23 Jan, 3-4pm (GMT+8)
Integrate Hardware, Databases, and Sensors into Your Desktop – No Extra Coding
Abstract
In our earlier session, we demonstrated how to process unstructured data or times series data “offline”. The real challenge is bringing data real time or streaming from different data sources into desktop for data preprocessing and converting it into potential applications for go-to market execution. Data sources can be commercial cloud platforms, on premises databases, scientific measurement signal analyzers, test and measurement platforms forms or industrial sensors via PLC or IoT platforms including low-cost hardware like Arduino.
 
Highlights
• Understand the purpose of preprocessing data from diverse sources
• Demonstration on preprocessing tasks via Database Data, IoT Sensor Data, Test & Measurement Data
• Implementing workflows using MQTT, RESTful APIs, Live Scripts, and MATLAB Online/Desktop for efficient device communication and automated workflows.
 
Who should attend
• Engineers, analysts, and data scientists working on IoT, Predictive Maintenance, or Hardware-in-the-Loop testing
• Professionals managing diverse data sources like sensors, databases, and test equipment
• Those looking to simplify workflows for preprocessing large or complex datasets with minimal coding effort
 
Sneak Peek of the Next Session
Learn how to expand these workflows for scaling applications, handling even larger datasets, and integrating custom hardware in future sessions.
05 Feb, 3-4pm (GMT+8)
Enhancing Visual Data: Practical Image Preprocessing for Industrial Applications
Abstract
The session starts with a comprehensive overview of image preprocessing and its applications, with practical examples such as wafer and semiconductor manufacturing, demonstrating its adaptability to other engineering components. The webinar emphasizes image processing algorithms designed to prepare images for AI model development, bridging the gap between raw data and effective AI solutions. This structured learning experience equips participants with actionable knowledge to implement and scale image preprocessing techniques in their respective domains.
 
Highlights
• Understand why image preprocessing is crucial
• Image Preprocessing to address common challenges in data access and preprocessing
 • How to implement efficient and intuitive image preprocessing
 
Who should attend
• Engineers and scientists involved in manufacturing, quality control, or predictive maintenance
• Professionals in AI and machine learning seeking efficient image preprocessing techniques
• Researchers and academics working with image data across industries
• Anyone new to MATLAB or looking for low-code tools to enhance productivity and streamline workflows
 
11 Feb, 3-4pm (GMT+8)
Unlocking the Power of Medical Image Data: Preprocessing for Pathology and Radiology
Abstract
Participants will learn strategies to rapidly bring medical imaging data into workflows, build algorithms for image analysis, and generate actionable reports with minimal coding. Designed for individuals working in medical imaging, you'll learn to analyse pathology and radiology data effectively, accelerate your research and make data-driven decisions with ease.
 
Highlights
• The importance of preprocessing medical images to improve accuracy and reliability in diagnosis and research
• Overcoming challenges such as noise, artifacts, and varied formats in medical imaging data
• Workflows for preprocessing medical images
• Applications in radiology, pathology, and other medical imaging domains
• Streamline medical image preprocessing
 
Who should attend
• Medical professionals and clinicians interested in enhancing diagnostic workflows
• Biomedical engineers and researchers working with medical imaging data
• AI practitioners looking to build or train models using preprocessed medical images
• Students and academics exploring the intersection of healthcare and data science

Why Attend?

Data preprocessing is key to successful data-driven projects, but handling complex, unstructured data can be challenging. This webinar series equips you with the tools and techniques to efficiently process and structure data.

Explore the Transformations in Engineering through Machine Learning and Deep Learning

Understanding how the field of engineering is being impacted or changed by the use of data science, and continuing to drive innovation and advancements in a wide range of industries

Featured Live Demos & Case Studies

Learn how to design and implement Artificial Intelligence systems from data processing to decision making and improve overall performance

Earn a Certificate of Completion & Win Prizes

Attend all 4 webinars to earn a certificate and participate in quizzes for a chance to win exciting prizes!

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