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Introducing the initial Mini-Symposium focused on:</div>
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<b>Emerging Techniques for Reliability and Predictive Maintenance: </b></div>
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<i>Empowering Reliability and Predictive Maintenance with Digital Twins and AI</i></div>
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Nov. 18th 2024, 9:00-17:00</div>
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Amphi IV, Batiment Eiffel, CentraleSupélec, 3 rue Joliot Curie, 91190, Gif-sur-Yvette, France</div>
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<span style="color: rgb(0, 0, 0);">Online: </span><span style="color: rgb(5, 99, 193);"><u><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fevents.teams.microsoft.com%2Fevent%2F237a980e-2783-4bed-ad98-d27985539dcf%4061f3e3b8-9b52-433a-a4eb-c67334ce54d5&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7Cf5b5049ee784468bbdd508dcf8b611ae%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638658708871332871%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=a69UF6QzS9hMNcIaQhmgUazPBXXvI0LlAb1k7ZXW%2Fgw%3D&reserved=0" originalSrc="https://events.teams.microsoft.com/event/237a980e-2783-4bed-ad98-d27985539dcf@61f3e3b8-9b52-433a-a4eb-c67334ce54d5" shash="WK1EVzc8KLHPyPMt19lhxmSkgkbTvcl/OWT8XTA9zV3bPdDd9Lk1KTuBiMKsQ++iBitqfplp9zdbdQ1QjtioJ2qXtYAcPc2l59ZYPxWFcazU2w/ZwZ8f1VSNmxYJYLS/EjdkSJRMAWnfTBRPFAQZ0JhURszLZQAq6bT2FroPW30=" id="OWA9fb280c4-6987-ecc0-33e1-192f8ab92056" class="OWAAutoLink" style="color: rgb(5, 99, 193);">https://events.teams.microsoft.com/event/237a980e-2783-4bed-ad98-d27985539dcf@61f3e3b8-9b52-433a-a4eb-c67334ce54d5</a></u></span></div>
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This Mini-Symposium aims to gather leading experts to discuss the implementation and implications of recent advances for reliability analysis and maintenance planning, specifically the integration of predictive maintenance, AI, digital twins and other related
topics. There is much exciting new research on Digital Twins and AI that is making fundamental advancements in reliability and predictive maintenance. The increasing availability of condition-monitoring data has incentivized in recent years the development
of machine learning for prognostics and diagnostics, big data analytics, generative AI. With these, Digital Twins have also become increasingly performant.</div>
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You are cordially invited to share your knowledge and opinions, and to learn more on the application of Digital Twins and/or AI models to support reliability and predictive maintenance.</div>
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<b>Organizers</b></div>
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Honorary Chair – Prof. Anne Barros, CentraleSupélec, Université Paris-Saclay, France</div>
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Prof. Zhiguo Zeng - CentraleSupélec Université Paris-Saclay, France</div>
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Prof. David Coit - Rutgers University, USA</div>
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Dr. Mihaela Mitici - Utrecht University, The Netherlands</div>
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<b>Registration</b></div>
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Registration is free but obligatory (we rely on this information to organize coffee, lunch break and cocktail). Please register before
<b>November 13, 2024</b> from here:</p>
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<u><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fforms.office.com%2FPages%2FResponsePage.aspx%3Fid%3DuOPzYVKbOkOk68ZzNM5U1dm3y50_4xNAiFhOMzayh0xUNzhaRk9ONDZHSVdCM1RDS0syMEFFUzQxRS4u&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7Cf5b5049ee784468bbdd508dcf8b611ae%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638658708871332871%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=H6c7xW1OfUUWPc4HDKQA6qk32p%2BWji4D0FTmhgVp9Sc%3D&reserved=0" originalSrc="https://forms.office.com/Pages/ResponsePage.aspx?id=uOPzYVKbOkOk68ZzNM5U1dm3y50_4xNAiFhOMzayh0xUNzhaRk9ONDZHSVdCM1RDS0syMEFFUzQxRS4u" shash="ymPDADHSaAsTrktPvNtU6BQOZkRVrozrBK7CxBr0+YJxu5O54DRtWaRXECGM3lVQb1HMLSMaU0Hi25HzA9I4oZGbRuce7EXO6zoAzwXBQX14Z8ujVmG6zSy4hKzp00dtaFKHygu6PhYjPXlqv7WTgs0wFfPDhvdfzpeUI/BVivk=" id="OWAa5fb7f57-a039-28a9-0285-5d34725efe77" class="OWAAutoLink" style="color: rgb(5, 99, 193);">https://forms.office.com/Pages/ResponsePage.aspx?id=uOPzYVKbOkOk68ZzNM5U1dm3y50_4xNAiFhOMzayh0xUNzhaRk9ONDZHSVdCM1RDS0syMEFFUzQxRS4u</a></u></div>
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Online participation is also possible but requires registration:</p>
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<u><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fevents.teams.microsoft.com%2Fevent%2F237a980e-2783-4bed-ad98-d27985539dcf%4061f3e3b8-9b52-433a-a4eb-c67334ce54d5&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7Cf5b5049ee784468bbdd508dcf8b611ae%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638658708871332871%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=a69UF6QzS9hMNcIaQhmgUazPBXXvI0LlAb1k7ZXW%2Fgw%3D&reserved=0" originalSrc="https://events.teams.microsoft.com/event/237a980e-2783-4bed-ad98-d27985539dcf@61f3e3b8-9b52-433a-a4eb-c67334ce54d5" shash="WK1EVzc8KLHPyPMt19lhxmSkgkbTvcl/OWT8XTA9zV3bPdDd9Lk1KTuBiMKsQ++iBitqfplp9zdbdQ1QjtioJ2qXtYAcPc2l59ZYPxWFcazU2w/ZwZ8f1VSNmxYJYLS/EjdkSJRMAWnfTBRPFAQZ0JhURszLZQAq6bT2FroPW30=" id="OWA270471ea-f085-2439-d0c9-befe230c6a76" class="OWAAutoLink" style="color: rgb(5, 99, 193);">https://events.teams.microsoft.com/event/237a980e-2783-4bed-ad98-d27985539dcf@61f3e3b8-9b52-433a-a4eb-c67334ce54d5</a></u></div>
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_________________________________</div>
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David W. Coit</div>
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Industrial & Systems Engineering Department</div>
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Rutgers University</div>
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96 Frelinghuysen Rd.</div>
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Piscataway NJ 08854-8018</div>
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email:coit@soe.rutgers.edu</div>
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http://www.davidcoit.net</div>
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