Deep Dive into Digital Twins: Technology and Applications
Webinar instructions will be emailed before the date of the webinar.
Please log into the webinar 15 – 30 minutes before start time.
Friday, January 6, 2023
10:00 am – 12:00 pm CST
Dr. Eva Agapaki
Defining a digital twin
Objectives and metrics of digital twin development
Development of digital twin technology
Types of digital twins
Applications for digital twins
Digital twin case studies
All attendees must log-on through their own email – attendees may not watch together if they wish to earn continuing education credit. HalfMoon Education Inc. must be able to prove attendance if either the attendee or HalfMoon Education Inc. is audited.
Certificates of completion can be downloaded in PDF form upon passing a short quiz. A link to the quiz will be sent to each qualifying attendee immediately after the webinar. The certificate can be downloaded from the Results page of the quiz upon scoring 80% or higher.
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GoToWebinar App requirements:
Windows 7 – 10 or Mac OSX Mavericks (10.9) – macOS Catalina (10.15)
The two most recent version of the following browsers:
Google Chrome, Mozilla Firefox, Apple Safari, Microsoft Edge
Internet Explorer v11 (or later) with Flash enabled
Internet connection: Minimum of 1Mbps Hardware: 2GB RAM or more
For more information, visit the Support section at www.gotowebinar.com
(no credit for NY architects or engineers)
Continuing Education Credit Information
This webinar is open to the public and is designed to qualify for 2.0 PDHs for professional engineers in most states.
HalfMoon Education is an approved continuing education sponsor for engineers in Florida (Provider No. 0004647), Indiana (License No. CE21700059), Maryland, New Jersey (Approval No. 24GP00000700) and North Carolina (S-0130). Most other states do not preapprove continuing education providers or courses.
This course is not approved in New York.
Attendance will be monitored, and attendance certificates will be available after the webinar for those who attend the entire course and score a minimum 80% on the quiz that follows the course (multiple attempts allowed).
Dr. Eva Agapaki
Dr. Eva Agapaki — AI Assistant Professor & Director of Digital Twins Research Lab, University of Florida
Dr. Agapaki is an Artificial Intelligence Assistant Professor in the Rinker School of Construction Management and Electrical and Computer Engineering Departments at the University of Florida, where she leads the Digital Twins of Infrastructure Systems lab. She is also the cofounder and CEO of TENET TWIN, a SaaS software startup. She obtained her Ph.D. from the University of Cambridge in 2020, where her research pioneered the automated generation of geometric Digital Twins of existing industrial facilities from Lidar data at a commercially viable level. She conducted part of her PhD research at MIT and was awarded the U.S. National Academy of Engineering grant for addressing one of the 14 Grand Challenges in Engineering of our century. She also holds an MSc in Geotechnical Earthquake Engineering from UCLA and a BSc in Civil Engineering from the University of Patras in Greece. She has extensive industry experience working as Innovation Lead at PTC Boston, and AVEVA, where she advised the AI team on machine learning methods for 3D point cloud processing methods.