Unlocking the Power of Edge Computing: Real-Time Decision Making at the Device Level

Webinar details

As connected devices become more widespread and sophisticated, the demand for real-time decision-making without relying on cloud latency has grown significantly. This shift has fueled the rise of edge computing – a transformative technology that allows for instantaneous data processing directly on local devices. Whether it’s remote mining equipment, autonomous vehicles, or military drones, edge computing enables these devices to analyze data on the spot, even in environments with limited connectivity.

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.

• The webinar will be recorded and will be sent out to registered attendees afterwards.
• A certificate of attendance will be provided to attendees who request one near the end of the live webinar session.
• Please note: the time stated on this event is in UTC. You will need to convert this to your own time zone.

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.

Related courses

This webinar/topic relates to our school of Industrial Automation, Instrumentation and Process Control and Electronic Engineering and is particularly found in the following courses:

• Professional Certificate of Competency in Industrial Internet of Things
• Graduate Certificate in Industrial Automation and Machine Learning
• 52867WA Advanced Diploma of Industrial Data Communication, Networking and IT
• Online – Bachelor of Science (Industrial Automation Engineering)
• Online – Master of Engineering (Industrial Automation)

To learn more about tuition fees, please click here.

About the 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.