BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Melbourne BEGIN:DAYLIGHT DTSTART:20261004T030000 TZOFFSETFROM:+1000 TZOFFSETTO:+1100 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10 TZNAME:AEDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20260405T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4 TZNAME:AEST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260512T004333Z UID:BEEC0002-99BD-4EF6-88FF-73369482CFA3 DTSTART;TZID=Australia/Melbourne:20260508T153000 DTEND;TZID=Australia/Melbourne:20260508T173000 DESCRIPTION:Data-Driven Cyber-Physical Systems: Edge AI in Modern Engineeri ng\n\n- Background\nEngineering industries are undergoing rapid transforma tion driven by advances in digital\ntechnologies\, automation\, and data-d riven systems. Concepts such as Edge AI and\ndistributed intelligence are increasingly shaping how engineers design\, manufacture\, and\nmaintain co mplex infrastructure and production systems.\nThese technologies allow org anizations to process data closer to physical assets\, optimize\noperation al performance\, and improve decision‑making through real-time analytics and\nlow-latency computation. As engineering organizations adopt these to ols\, the\nexpectations placed on graduate engineers are evolving rapidly. \nWhile universities provide strong theoretical foundations\, many employe rs report that\ngraduate engineers often lack several practical competenci es required for modern\nengineering workplaces. These include systems thin king\, familiarity with embedded and\nedge computing platforms\, data lite racy\, and the ability to work effectively in\nmultidisciplinary teams.\nT o help bridge the gap between academic training and industry expectations\ , IEEE\nstudent branch of Swinburne proposes organizing a tech‑talk styl e event focused on Edge\nAI and the professional skills required for the f uture engineering workforce.\n\n2. Event Overview\nThis event will feature a keynote presentation by Prof. Prem Prakash Jayaraman\, Director\nof the Factory of the Future at Swinburne University of Technology and a leading \nresearcher in distributed systems\, IoT\, and Edge AI.\nThe event will p rovide post-graduate students\, graduate engineers and final‑year\nengin eering students with insight into Edge AI technologies\, industry trends\, and the\npractical skills required to remain competitive in the evolving engineering industry.\nIn addition to the keynote presentation\, attendees will participate in a guided visit to the\nSwinburne Factory of the Futur e. This visit will showcase ongoing research and industry\ncollaboration p rojects involving Edge AI\, smart sensing systems\, robotics\, and real-ti me\ndata processing at the edge.\n\nBy combining a live demonstration of a dvanced engineering technologies with an expert\nacademic perspective\, th e event aims to provide both practical exposure and career\nguidance for e arly‑career engineers and researchers.\n\n3. Keynote Content and Technic al Focus\nThe keynote presentation will provide a deep technical perspecti ve on Edge AI and its\nrole in modern engineering systems. The speaker wil l introduce the concept of Edge AI\,\nhighlighting how machine learning mo dels are deployed on embedded systems\, sensors\,\nand edge devices to ena ble real-time decision-making without reliance on cloud\ninfrastructure.\n The presentation will explore system architecture for Edge AI\, including edge-cloud\ncollaboration\, distributed intelligence\, and resource-constr ained model deployment.\nPractical examples will demonstrate how Edge AI i mproves efficiency\, reduces latency\,\nenhances data privacy\, and enable s autonomous operation in applications such as smart\nmanufacturing\, robo tics\, and industrial automation.\nThe talk will also discuss challenges a ssociated with Edge AI\, including computational\nconstraints\, model opti mization\, energy efficiency\, and system integration. Emphasis will\nbe p laced on how engineers can design robust and scalable edge systems.\nThe s ession will connect these technologies to real-world industry applications and\noutline how they are influencing the skills and competencies require d of modern\nengineers. Attendees will gain insight into how Edge AI is be ing adopted in practice and\nhow they can prepare to work effectively in i ncreasingly distributed and intelligent\nengineering environments.\n\n4. O bjectives\nThe key objectives of the event are:\n• Introduce students to Edge AI technologies transforming modern engineering industries.\n• Dem onstrate real-world applications through a guided tour of the Factory of t he Future.\n• Highlight the practical skills and competencies employers expect from graduate\nengineers.\n• Provide career insights and professi onal advice for students and early‑career engineers.\n• Encourage enga gement between students\, researchers\, and industry professionals.\n\nReg istrations: https://www.eventbrite.com.au/e/data-driven-cyber-physical-sys tems-edge-ai-in-modern-engineering-tickets-1986395765206?aff=oddtdtcreator \n\nCo-sponsored by: IEEE VIC Section\n\nSpeaker(s): Prem\, \n\nAgenda: \n Event Program\nDate: Friday\, 8th May 2026\nStart Time: 3:30 PM\n3:30 PM – 4:00 PM | Guided Visit – Swinburne Factory of the Future\nAttendees will participate in a 15–30 minute guided tour of the Swinburne Factory of the\nFuture. The tour will demonstrate existing projects involving smar t manufacturing\nsystems\, digital engineering platforms\, robotics\, and automation. The visit will provide\nparticipants with direct exposure to a dvanced manufacturing technologies currently being\ndeveloped and applied in industry collaboration projects.\n4:00 PM – 4:05 PM | Transition to E N102 Lecture Hall\nAttendees will be guided from the Factory of the Future to the EN102 Lecture Hall for\nthe keynote presentation.\n4:05 PM – 4:1 0 PM | Opening Remarks\nThe event organizers will provide a short introduc tion outlining the purpose of the event\nand introducing the keynote speak er\n4:10 PM – 4:40 PM | Keynote Presentation – Prof. Prem Prakash Jaya raman\nThe keynote will focus on Edge AI systems\, distributed intelligenc e\, and real-time\ndecision-making in engineering applications. The talk w ill also highlight industry\nexpectations and required technical skills.\n 4:40 PM – 5:00 PM | Q&A Session\nAttendees will have the opportunity to ask questions related to technological trends\,\ncareer development\, and the evolving expectations of engineering professionals.\n5:00 PM – 5:30 PM | Refreshments and Networking\nThe event will conclude with an informal networking session accompanied by\nrefreshments. This will provide an opp ortunity for attendees to interact with the speaker\,\ndiscuss career path ways\, and connect with fellow engineering students and professionals.\n\n Room: EN 102\, Bldg: Engineering Building\, Swinburne University of Techno logy\, John Street\, Hawthorne\, Melbourne\, Victoria\, Australia\, 3122 LOCATION:Room: EN 102\, Bldg: Engineering Building\, Swinburne University o f Technology\, John Street\, Hawthorne\, Melbourne\, Victoria\, Australia\ , 3122 ORGANIZER:swinburneieeestudentbranch@gmail.com SEQUENCE:127 SUMMARY:Swinburne IEEE Tech Talk and Factory of Future Visit URL;VALUE=URI:https://events.vtools.ieee.org/m/550679 X-ALT-DESC:Description: <br /><p>Data-Driven Cyber-Physical Systems: Edge A I in Modern Engineering&nbsp\;</p>\n<ol>\n<li>Background<br>Engineering in dustries are undergoing rapid transformation driven by advances in digital &nbsp\;<br>technologies\, automation\, and data-driven systems. Concepts s uch as Edge AI and&nbsp\;<br>distributed intelligence are increasingly sha ping how engineers design\, manufacture\, and&nbsp\;<br>maintain complex i nfrastructure and production systems.&nbsp\;<br>These technologies allow o rganizations to process data closer to physical assets\, optimize&nbsp\;<b r>operational performance\, and improve decision‑making through real-tim e analytics and&nbsp\;<br>low-latency computation. As engineering organiza tions adopt these tools\, the&nbsp\;<br>expectations placed on graduate en gineers are evolving rapidly.&nbsp\;<br>While universities provide strong theoretical foundations\, many employers report that&nbsp\;<br>graduate en gineers often lack several practical competencies required for modern&nbsp \;<br>engineering workplaces. These include systems thinking\, familiarity with embedded and&nbsp\;<br>edge computing platforms\, data literacy\, an d the ability to work effectively in&nbsp\;<br>multidisciplinary teams.&nb sp\;<br>To help bridge the gap between academic training and industry expe ctations\, IEEE&nbsp\;<br>student branch of Swinburne proposes organizing a tech‑talk style event focused on Edge&nbsp\;<br>AI and the professiona l skills required for the future engineering workforce.</li>\n</ol>\n<p>&n bsp\;</p>\n<p>2. Event Overview<br>This event will feature a keynote prese ntation by Prof. Prem Prakash Jayaraman\, Director&nbsp\;<br>of the Factor y of the Future at Swinburne University of Technology and a leading&nbsp\; <br>researcher in distributed systems\, IoT\, and Edge AI.&nbsp\;<br>The e vent will provide post-graduate students\, graduate engineers and final‑ year&nbsp\;<br>engineering students with insight into Edge AI technologies \, industry trends\, and the&nbsp\;<br>practical skills required to remain competitive in the evolving engineering industry.&nbsp\;<br>In addition t o the keynote presentation\, attendees will participate in a guided visit to the&nbsp\;<br>Swinburne Factory of the Future. This visit will showcase ongoing research and industry&nbsp\;<br>collaboration projects involving Edge AI\, smart sensing systems\, robotics\, and real-time&nbsp\;<br>data processing at the edge.</p>\n<p>&nbsp\;</p>\n<p>By combining a live demons tration of advanced engineering technologies with an expert&nbsp\;<br>acad emic perspective\, the event aims to provide both practical exposure and c areer&nbsp\;<br>guidance for early‑career engineers and researchers.&nbs p\;</p>\n<p><br>3. Keynote Content and Technical Focus<br>The keynote pres entation will provide a deep technical perspective on Edge AI and its&nbsp \;<br>role in modern engineering systems. The speaker will introduce the c oncept of Edge AI\,&nbsp\;<br>highlighting how machine learning models are deployed on embedded systems\, sensors\,&nbsp\;<br>and edge devices to en able real-time decision-making without reliance on cloud&nbsp\;<br>infrast ructure.&nbsp\;<br>The presentation will explore system architecture for E dge AI\, including edge-cloud&nbsp\;<br>collaboration\, distributed intell igence\, and resource-constrained model deployment.&nbsp\;<br>Practical ex amples will demonstrate how Edge AI improves efficiency\, reduces latency\ ,&nbsp\;<br>enhances data privacy\, and enables autonomous operation in ap plications such as smart&nbsp\;<br>manufacturing\, robotics\, and industri al automation.&nbsp\;<br>The talk will also discuss challenges associated with Edge AI\, including computational&nbsp\;<br>constraints\, model optim ization\, energy efficiency\, and system integration. Emphasis will&nbsp\; <br>be placed on how engineers can design robust and scalable edge systems .&nbsp\;<br>The session will connect these technologies to real-world indu stry applications and&nbsp\;<br>outline how they are influencing the skill s and competencies required of modern&nbsp\;<br>engineers. Attendees will gain insight into how Edge AI is being adopted in practice and&nbsp\;<br>h ow they can prepare to work effectively in increasingly distributed and in telligent&nbsp\;<br>engineering environments.&nbsp\;</p>\n<p><br>4. Object ives<br>The key objectives of the event are:&nbsp\;<br>&bull\; Introduce s tudents to Edge AI technologies transforming modern engineering industries .<br>&bull\; Demonstrate real-world applications through a guided tour of the Factory of the Future.<br>&bull\; Highlight the practical skills and c ompetencies employers expect from graduate<br>engineers.<br>&bull\; Provid e career insights and professional advice for students and early‑career engineers.<br>&bull\; Encourage engagement between students\, researchers\ , and industry professionals.</p>\n<p>&nbsp\;</p>\n<p>Registrations: https ://www.eventbrite.com.au/e/data-driven-cyber-physical-systems-edge-ai-in-m odern-engineering-tickets-1986395765206?aff=oddtdtcreator</p><br /><br />A genda: <br /><p><span style="color: rgb(0\, 0\, 0)\;">&nbsp\;Event Program </span><br>Date: Friday\, 8th May 2026&nbsp\;<br>Start Time: 3:30 PM&nbsp\ ;<br>3:30 PM &ndash\; 4:00 PM | Guided Visit &ndash\; Swinburne Factory of the Future&nbsp\;<br>Attendees will participate in a 15&ndash\;30 minute guided tour of the Swinburne Factory of the&nbsp\;<br>Future. The tour wil l demonstrate existing projects involving smart manufacturing&nbsp\;<br>sy stems\, digital engineering platforms\, robotics\, and automation. The vis it will provide&nbsp\;<br>participants with direct exposure to advanced ma nufacturing technologies currently being&nbsp\;<br>developed and applied i n industry collaboration projects.&nbsp\;<br>4:00 PM &ndash\; 4:05 PM | Tr ansition to EN102 Lecture Hall&nbsp\;<br>Attendees will be guided from the Factory of the Future to the EN102 Lecture Hall for&nbsp\;<br>the keynote presentation.&nbsp\;<br>4:05 PM &ndash\; 4:10 PM | Opening Remarks&nbsp\; <br>The event organizers will provide a short introduction outlining the p urpose of the event&nbsp\;<br>and introducing the keynote speaker&nbsp\;<b r>4:10 PM &ndash\; 4:40 PM | Keynote Presentation &ndash\; Prof. Prem Prak ash Jayaraman&nbsp\;<br>The keynote will focus on Edge AI systems\, distri buted intelligence\, and real-time&nbsp\;<br>decision-making in engineerin g applications. The talk will also highlight industry&nbsp\;<br>expectatio ns and required technical skills.&nbsp\;<br>4:40 PM &ndash\; 5:00 PM | Q&a mp\;A Session&nbsp\;<br>Attendees will have the opportunity to ask questio ns related to technological trends\,&nbsp\;<br>career development\, and th e evolving expectations of engineering professionals.&nbsp\;<br>5:00 PM &n dash\; 5:30 PM | Refreshments and Networking&nbsp\;<br>The event will conc lude with an informal networking session accompanied by&nbsp\;<br>refreshm ents. This will provide an opportunity for attendees to interact with the speaker\,&nbsp\;<br>discuss career pathways\, and connect with fellow engi neering students and professionals.&nbsp\;</p> END:VEVENT END:VCALENDAR