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

 

 

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Transforming Automotive, Aerospace, Robotics & Industrial Automation with Model-Based Design (MBD)

Model-Based Design (MBD) is transforming industries by integrating simulation, validation, and automatic code generation into a single development workflow. Companies worldwide—including Toyota, Airbus, and ABB—use MATLAB & Simulink to streamline control system design, AI-driven modeling, and embedded software development across mission-critical applications.
 

Toyota reduced hybrid vehicle development time by 50% using MBD to simulate and validate control algorithms before hardware testing.

Airbus improved autopilot system reliability with MBD, enabling faster certification compliance for DO-178C standards.

ABB optimized industrial robotics performance, using digital twins to simulate motion planning and fault detection.

National Grid UK deployed grid-scale battery management systems using MBD, enhancing renewable energy integration.

 
Join us to learn how MBD is driving advancements in automotive, aerospace, robotics, industrial automation, and energy systems—helping teams improve design accuracy, reduce costs, and accelerate development
 
Why Attend?
✔ Gain hands-on insights into Model-Based Design from industry experts
✔ Learn best practices and real-world applications across multiple industries
✔ Watch live demonstrations and case studies showcasing MBD workflows
✔ Get access to free learning resources to advance your skills
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01: Control Design Made Easy with Model-Based Design

📅 10 April 2025 | 10.00 AM – 11.00 AM (GMT+8) | Online Via ZOOM 

This webinar will demonstrate how MBD simplifies control system development by allowing engineers to design, simulate, and optimize controllers in a unified environment before hardware implementation. 

 

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02: Plant Modeling for System Simulation Made Easy 

📅 22 April 2025 | 03.00 PM – 04.00 PM (GMT+8) | Online Via ZOOM 

Whether you're working on control design, system integration, or predictive simulations, this session will provide a practical approach to building accurate models without needing to derive complex mathematical equations manually. 

 

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03: AI-Powered Model-Based Design for Smart Systems

 📅 8 May 2025 | 03.00 PM – 04.00 PM (GMT+8) | Online Via ZOOM 

This session will explore how AI can be integrated within Model-Based Design (MBD) frameworks to develop intelligent control systems. Topics include AI applications in system modeling, control system development, embedded deployment, and regulatory compliance.  

 

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04: Verification, Validation & Automated Code Generation for Embedded Systems

 📅 20 May 2025 | 03.00 PM – 04.00 PM (GMT+8) | Online Via ZOOM 

This webinar will showcase best practices for testing, validating, and deploying control algorithms efficiently using Model-Based Design. MBD enhances software quality while meeting safety and certification requirements in industries such as automotive, aerospace, and industrial automation. 

 

Our Speakers

romeo (3)
Romeo Cabading
Principal Application Engineer
 
Romeo is a Principal Application Engineer with over 15 years of experience in designing and developing microprocessor-based products and systems. With a focus on applications automotive engine, EV controller system integration, and battery management systems. Romeo excels in verification and validation (V&V) using MATLAB and Simulink, essential for modeling, simulation, and testing of complex systems.
Supamith (1)-png
Supamith Sutharojana 
Application Engineer Team Lead
 
Supamith specialized in the field of Model-based design (Simulink with Verification & Validation workflow), Data Analytics, and various areas, especially in the Automotive industry, e.g., V&V workflow, EV Autonomous Driving, and Predictive Maintenance. Before joining Ascendas Systems, he was an Engine Software Designer at a Japanese Automotive manufacturer company.
Athaariq
Athaariq Ramadhani
Application Engineer 
 
Athaariq  specialized in Embedded Coder for microcontrollers and Linux boards like Raspberry Pi. He has expertise in Simscape Electrical, PLC Coder, Vehicle Composer, Image Processing, Deep Learning, and Computer Vision. he focuses on enhancing system performance. He holds a Bachelor's in Engineering Physics from Institut Teknologi Sepuluh Nopember, Surabaya.
Huy Duong
Duong Quang Huy
Application Engineer
 
Huy is an embedded systems expert with 5+ years of international experience in automotive, rail, and marine engineering. He began as an automation tester at Nissan Automotive Technology Vietnam, working on ADAS systems with MATLAB/Simulink. At Nippon Signal Japan, he designed embedded software for trains using model-based tools like SCADE. Recently, he focused on simulation and data analysis for marine systems, researching hybrid and electric propulsion.