From Robotics to Secure Autonomous Navigation: The Role of AI and Smart Sensors

The live presentation of this event has already taken place.

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Webinar details

The convergence of robotics, AI, and smart sensors is driving the evolution of secure autonomous navigation. This webinar introduces the key technologies shaping the next generation of autonomous systems and explains how they work together to enable intelligent, reliable, and secure decision-making.

From robotics platforms to advanced sensing and AI-driven control, the session offers a practical overview of how these technologies are applied in real-world contexts. With a focus on accessibility, the webinar is tailored for students, researchers, and industry professionals who want to understand both the opportunities and challenges of this fast-growing field.

Attendees will gain insights into global trends, future directions, and the critical role of secure navigation in building trustworthy autonomous systems.

• 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

• Learn how robotics, AI, and smart sensors integrate to enable secure and intelligent autonomous navigation.
• Explore the real-world applications and challenges of deploying these technologies in next-generation autonomous systems.
• Understand the fundamental principles and future directions shaping secure and reliable autonomous navigation.

Related courses

This webinar/topic is multidisciplinary and covers the following schools of Engineering :

• Electrical Engineering
• Mechanical Engineering
• Industrial Automation, Instrumentation and Process Control 
• Electronics Engineering

To learn more about tuition fees, please click here.

About the presenter

Dr. Ali Marzoughi, Lecturer and Unit Coordinator

Dr. Ali Marzoughi is a professional engineer with a PhD in Robotics and Automatic Control from the University of New South Wales. He brings over 20 years of combined industry and academic experience across Australia, Southeast Asia, and the Middle East. He began his career in the oil and gas sector as an instrumentation engineer, later advancing to project management roles on large EPC projects focused on electrical and instrumentation systems.

Alongside his industry career, he has been actively engaged in research and development, with a focus on automation, control systems, and secure UAV communications. Since 2019, he has served as a Lecturer, Unit Coordinator, and Thesis Supervisor at the Engineering Institute of Technology (EIT), while also contributing internationally as a Guest Editor and peer reviewer for leading engineering journals.