
In this webinar, we will demystify edge computing and explore its crucial role in the evolving landscape of industrial automation. You’ll learn how edge computing streamlines data transmission between machines and humans, powering advanced technologies like machine learning and augmented reality. Attendees will gain valuable insights into how edge computing operates and how it can drive innovation and efficiency across various sectors. To make these concepts tangible, we’ll wrap up with a demonstration using a simple hardware setup that showcases how edge computing works in real-time.
Join us to cut through the hype and discover the true value of edge computing in today’s digital world.
Key takeaways from this webinar
-Streamlining Data Transmission: Discover how edge computing enhances data transmission between machines and humans, enabling advanced technologies like machine learning and augmented reality.
-Driving Innovation and Efficiency: Gain insights into the operational aspects of edge computing and its potential to revolutionize efficiency and innovation across diverse sectors.
-Real-Time Demonstration: Experience the practical application of edge computing through a live demonstration using a simple hardware setup, showcasing its real-time functionality.
Presenter
Dr. Ali Marzoughi , EIT Lecturer
Dr. Ali Marzoughi is a highly experienced professional engineer with a robust academic foundation and over 20 years of diverse industry experience. He holds a Bachelor’s degree in Electrical/Electronics Engineering, a Master’s degree in Mechatronics and Automatic Control, and a PhD in Robotics and Automatic Control from the University of New South Wales (UNSW), Australia.
After graduating with his bachelor’s degree, Dr. Marzoughi began his career as an instrumentation engineer in the oil and gas industry. His expertise and leadership quickly propelled him to project management roles, where he led electrical and instrumentation efforts on several major EPC projects.
Throughout his career, Dr. Marzoughi has maintained a strong connection to academia and R&D, working in various technical and leadership roles both nationally and internationally. Since 2019, he has been affiliated with the Engineering Institute of Technology (EIT) as a unit coordinator, lecturer, and thesis supervisor, where he continues to contribute to the academic and professional development of future engineers.
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