14 May - 14 May, 2025
May 14 at 4:00 PM - 5:30 PM AEST
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Unlocking the Power of Deep Learning in Modern Power Systems
Event Details:
Date: Wednesday 14th May, 2025
Time: 4pm – 5:30pm
Location: Level 6, 333 Adelaide Street, Brisbane Queensland 4000
Please RSVP by Wednesday 7th of May, 2025. Places are limited.
What to Expect:
- A key presentation: Engage with Dr. Muhammad as he shares how you can utilise Deep Learning in your work and projects.
- Networking opportunities: Connect with like-minded professionals and expand your professional circle.
- Canapes and refreshments: Indulge in canapes while you network and discuss the latest developments in the engineering landscape.
A digital Certificate of Attendance will be provided after the event.
Overview:
This is your chance to gain exclusive insights into how Deep Learning (DL) is transforming power systems, enhancing both operational efficiency and future capabilities. Whether you’re an engineer, researcher, or professional in the energy sector, this session will provide you with invaluable knowledge that can directly impact your work and projects.
Key Takeaways:
- Stay ahead of the curve: Learn about the latest DL advancements and their applications in forecasting energy demands, managing distribution systems, and improving grid stability.
- Enhance your skills: Understand how to implement and optimize DL technologies to solve real-world challenges like fault detection, cybersecurity, and demand response.
- Networking opportunities: Connect with industry experts, thought leaders, and like-minded professionals to expand your network and exchange ideas on the future of power systems.
- Practical takeaways: Walk away with actionable insights on integrating AI and deep learning into your daily operations or research initiatives, empowering you to drive innovation in your organization.
Dr. Muhammad Uzair, Electrical Engineer
Dr. Muhammad Uzair is a highly qualified electrical engineer with a Bachelor of Engineering in Electrical Engineering from the NED University of Engineering and Technology (NEDUET), Karachi, Pakistan. He holds a Master of Engineering Science degree in Electric Power Engineering from the University of New South Wales (UNSW), Australia, a Master of Engineering Management degree from the University of Technology Sydney (UTS), Australia and Doctor of Philosophy in Electrical Engineering, awarded by UTS.
Dr. Muhammad Uzair has over ten years of academic experience in Australia and overseas. Additionally, his industry experience spans the renewable energy, electrical, electronics, and telecommunications sectors. His research interests focus on AC microgrid protection, with an emphasis on the integration of machine learning, deep learning, and multi-agent systems.
This event is supported by Engineers Australia
Who is EIT?
The Engineering Institute of Technology (EIT) provides practical education and training in engineering and technology, with most graduates in fulfilling and well-paid engineering jobs.
EIT offers excellence across its professional development courses, and in its Australian internationally accredited diplomas and advanced diplomas, bachelor and master degrees, and a professional Doctor of Engineering.
The engineering lecturers and instructors, most with considerable industry experience and a passion for teaching, are drawn from around the world.
The live and interactive online platform of learning (with access to remote and virtual labs) reaches students in over 160 countries.
The degrees are also available on campus in Australia, using a blended approach to learning.
If you have any questions, please contact Caroline: caroline.mackay@eit.edu.au
We look forward to seeing you there.