BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Engineering Institute of Technology - ECPv6.17.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Engineering Institute of Technology
X-ORIGINAL-URL:https://www.eit.edu.au
X-WR-CALDESC:Events for Engineering Institute of Technology
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20260527T080000
DTEND;TZID=UTC:20260527T090000
DTSTAMP:20260715T102056Z
CREATED:20260310T093453Z
LAST-MODIFIED:20260715T102056Z
UID:227395-1779868800-1779872400@www.eit.edu.au
SUMMARY:AI for Engineers: The Future of Engineering with Smart Sensors and Intelligent Machines
DESCRIPTION:The live presentation of this event has already taken place. \nPlease view the PDF slides here or watch the video recording below:\n \nWebinar details\nArtificial Intelligence is rapidly becoming part of everyday engineering practice. From smart sensors and embedded systems to industrial automation and intelligent machines\, engineers are now working with AI enabled technologies in real world applications. This webinar explores how AI is transforming modern engineering systems\, not as abstract theory\, but as practical tools integrated into sensing\, control\, and decision making processes. \nThe session highlights how smart sensors\, edge intelligence\, and hybrid AI approaches are reshaping robotics\, automation\, and advanced engineering systems. It also examines where AI adds real value for engineers\, how intelligent machines are evolving toward greater autonomy\, and what skills will define the next generation of engineering practice. This webinar is ideal for engineers\, students\, and professionals who want to understand how AI is being embedded into real engineering solutions across industries. \n\nThe webinar will be recorded and will be sent out to registered attendees afterwards.\nA certificate of attendance will be provided to attendees who request one near the end of the live webinar session.\nPlease note: the time stated on this event is in UTC. You will need to convert this to your own time zone.\n\nKey takeaways from this webinar\n\nUnderstand how AI is being integrated into modern engineering systems through smart sensors\, embedded intelligence\, and data driven decision making.\nRecognize the role of hybrid AI approaches that combine physical models with machine learning to improve reliability\, efficiency\, and system performance.\nIdentify how intelligent machines and automation technologies are evolving toward greater autonomy\, and what this means for future engineering skills and practice.\n\nRelated courses\nThis webinar/topic relates to our school of Industrial Automation\, Instrumentation and Process Control Engineering and is particularly found in the following courses: \n\nProfessional Certificate of Competency in Instrumentation\, Automation and Process Control\nProfessional Certificate of Competency in Safety Instrumentation Systems for Process Industries\nProfessional Certificate of Competency in Advanced Plant Maintenance and AI-Driven Predictive Technologies\nOnline – Bachelor of Science (Industrial Automation Engineering)\nGraduate Certificate in Industrial Automation and Machine Learning\n52911WA Graduate Certificate in Internet of Things (loT) for Engineering (Foundations)\nOnline – Master of Engineering (Industrial Automation)\n\nAbout the presenter\n \nDr. Ali Marzoughi\, EIT Senior Lecturer\, Lead Engineer at Engineering Services at Microgen Technologies\, and Consultant\n \nDr. Ali Marzoughi is a professional engineer and researcher with over 20 years of combined industry and academic experience. He holds a PhD in Robotics and Automatic Control from the University of New South Wales (UNSW)\, Australia. He began his career in the oil and gas industry as an instrumentation engineer and later progressed into senior technical and project management roles\, leading electrical and instrumentation activities on major EPC projects. Alongside his industry career\, he has remained actively engaged in research and academia\, contributing to R&D\, serving as a journal editor and conference committee member\, and publishing in the fields of autonomous robotics and intelligent decision-making systems. Since 2019\, he has been affiliated with the Engineering Institute of Technology (EIT) as a Lead and Senior Lecturer and thesis supervisor\, supporting the development of future engineers in robotics\, automation\, and advanced control systems.
URL:https://www.eit.edu.au/event/ai-for-engineers-the-future-of-engineering-with-smart-sensors-and-intelligent-machines/
LOCATION:Online
CATEGORIES:Technical Engineering Topics Webinar
ATTACH;FMTTYPE=image/webp:https://www.eit.edu.au/wp-content/uploads/2026/03/TechWebinar_AI-for-Engineers-The-Future-of-Engineering_BannerImage.webp
END:VEVENT
END:VCALENDAR