Digital Twins Workshop
WHEN:
December 3rd & 4th, 2020 (First Workshop)
HOST:
SimCenter, Multidisciplinary Research Building, 701 East M.L. King Boulevard, Chattanooga, TN 37403
PARTICIPANT SPOTS:
20
About the Workshop
Experts in HPC, production engineering, modeling/simulation, uncertainty quantification, STEM education, control systems, cybersecurity, machine/deep learning, software engineering, and CPS/IoT are invited to a pair of NSF-funded, 2-day Workforce Development Workshops to strategize educational approaches to digital twin modeling and simulation.
Workshop #1 will originate at the University of Tennessee at Chattanooga (UTC) with the goal of eliciting knowledge units at the intersection of the disciplines required to achieve production-ready digital twins.
Workshop #2, Spring 2021 (date TBD) at Tennessee Technological University (TTU), will emphasize translation of engineering methodologies into modules suitable for delivery in multiple educational formats for graduate and continuing education. Vertical-specific engineering experts are especially encouraged to attend Workshop #2.
Digital Twins Workshops Descriptions
About the SimCenter
The SimCenter is the center for multidisciplinary research at UTC, not only serving as a research accelerator for innovative concepts and laboratories but also acting as UTC’s core facility for High-Performance Computing and Storage. The SimCenter is a Tennessee Higher Education Commission-funded research organization designed to advance modeling- and simulation-based science at UTC.
How to Participate
Participation at each workshop is limited to 20 individuals via videoconferencing software, with each slot granting a stipend upon completion of workshop activities, to cover expenses. We welcome individuals from any academic, industry, and non-profit organizations.
To apply for one or both workshops, please complete this form.
ORGANIZING PARTNERS: The University of Tennessee at Chattanooga and Tennessee Technological University, made possible by a grant from the National Science Foundation, Awards #1935628 and #1935583.