Programming languages interoperability for AI-Enabled Engineered Systems

This workshop will demonstrate practical workflows for simulating and testing AI-enabled engineered systems using MATLAB.

Attendees will explore how MATLAB interoperates with popular deep learning frameworks such as PyTorch and TensorFlow. The session will feature application examples in Robotics, Electrification, and Autonomous Systems, highlighting the benefits of cross-platform integration for efficient development and testing.

By the end of this workshop, participants will gain access to examples and resources designed to support their work and accelerate the development of their engineered systems.

Audience: University Students, Researchers, Professionals

Speaker: Mohammad Abuzayyad, Technical Manager

Mohammad Abuzayyad holds an M.Sc. degree in Mechatronics Engineering with a specialization in Robotics and Control Systems. He is currently a Ph.D. candidate conducting research in the field of AI for engineered systems. Mohammad has been a technology specialist for 12 years. Currently he serves as the Technical Manager at MathWorks (makers of MATLAB), where he focuses on Electrification, AI, and Robotics, supporting customers across the MEA region.

Language: English

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