Engineering Intelligence at the Edge: AI Optimization to Embedded Deployment

Engineering Intelligence at the Edge: 
AI Optimization to Embedded Deployment

Series Overview:

This 3-part webinar series shows how engineers can use MATLAB and Simulink to build efficient AI models, optimize them for resource-constrained hardware, and deploy them to edge and embedded systems.

The sessions follow a practical workflow from design → optimization → deployment, helping engineering teams move from prototype to real-world implementation.


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Smarter by Design: AI-Driven Optimization for Engineering Systems

Smarter by Design : AI-Driven Optimization for Engineering Systems

Explore how AI helps engineers optimize complex designs and system parameters—improving performance, accelerating development, and enabling smarter decisions across mechanical, electrical, and system-level applications.

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From Model to MCU: Pruning, Projecting, & Quantization for Edge AI

From Model to MCU : Pruning, Projection & Quantization for Edge AI 

Learn how to optimize neural networks using pruning, projection, and quantization—reducing size and computation while maintaining accuracy for deployment on
microcontrollers and edge devices.


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Edge-Ready Signal AI: From Prototype to Embedded Deployment

Edge-Ready Signal AI : From prototype to Embedded Deployment

Discover how signal processing and AI combine to build intelligent embedded systems—from data and modeling to simulation, code generation, and deployment on hardware.

 

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WHO SHOULD ATTEND

This webinar series is designed for engineers and technical professionals working on intelligent systems, embedded devices, and AI-enabled engineering workflows.

 

You may attend the webinar series if you:

  1. - Optimize engineering designs using simulation or AI

  2. - Work on embedded or edge AI applications 
  3. - Deploy algorithms to microcontrollers, DSP, FPGA, or edge devices 
  4. - Develop real-time systems using sensors, signals, or control logic 
  5. - Perform simulation, system modeling, or design optimization 
  6.  

Speakers

Koay Xian Cong
Application Engineer

Xian Cong focus on hardware and system deployment across MCUs, FPGA, SoC, and CPU-based platforms, including cloud environments. His expertise spans firmware development and AI model development, optimization, and deployment across edge and cloud architectures, leveraging MATLAB across various projects for data processing, algorithm development, and system analysis. 

Kantika Wongkasem
Application Engineer

Kantika Wongkasem works with customers in Southeast Asia to introduce and support MATLAB and Simulink products. She specialized in Data Science and image processing with MATLAB and being involved in projects related with machine learning, deep learning and predictive militance.  

Duong Quang Huy
Application Engineer

Huy is an Application Engineer with international experience in embedded systems for automotive, railway, and maritime sectors, He has worked on automated ADAS testing, embedded software design, and maritime simulation and data analysis.

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