MANSFIELD, Conn. — A hybrid, four-day workshop bringing together industry leaders, researchers and practitioners will highlight the best practices for digital twin technology.
Digital twins are virtual models of physical objects that can be used for real-time monitoring of systems, for training purposes or to create simulations for research.
The “Workshop on Digital Twins for Manufacturing,” which will be held at the University of Connecticut from Monday Nov. 11 to Thursday, Nov. 14, is co-organized by Soundar Kumara, Allen E. and Allen M. Pearce Professor of Industrial Engineering in the Penn State College of Engineering, Penn State Institute for Computational and Data Sciences (ICDS) co-hire and Center for Applications of Artificial Intelligence/Machine Learning to Industry (AIMI) director.
Mehrdad Mahdavi, AI Hub director and associate professor of computer science and engineering in the Penn State College of Engineering, will be presenting in a panel discussion on the second day of the workshop, Tuesday, Nov. 12.
“This workshop is among the first global efforts to define Digital Twins technology in manufacturing,” Kumara said. “I am excited to be working with my colleagues who are among the world’s leading experts in DT. We are hoping that our workshop will lay the foundation for DT in Manufacturing.”
Attendees will have the opportunity to network and collaborate with peers and experts, as well as attend keynote speeches, interactive sessions and panel discussions.
The workshop aims to further advance the “digital transformation of manufacturing systems through the use of digital twins,” and will explore various topics such as artificial intelligence (AI) integration, modeling and simulation, according to the University of Connecticut.
Attendees are encouraged to engage in discussions with industry partners and peers that will impact the future of digital twin technology.
For more information and to register, please visit the University of Connecticut’s website.
The workshop is sponsored by the U.S. Department of Energy and the U.S. National Science Foundation.
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