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Join us for the inaugural Digital Engineering Design and Simulation Summit on Oct. 7 2021. This one-day online event will include presentations from leading experts across the entire design cycle. Learn about the latest trends in simulation, design, additive manufacturing, engineering computing, and the digital thread.
What is a digital twin? Is it a database or a dynamic 3D model? Michael Kapteyn, a MIT researcher working at the intersection of computational science, machine learning, and autonomous systems, brings clarity to the topic by highlighting the emerging modeling language, standards, and best practices.
He will also discuss how machine learning and physics-based modeling complement each other in digital twin deployment and ongoing maintenance.
Michael Kapteyn is a postdoctoral fellow in the Oden Institute for Computational Engineering and Sciences at UT Austin. He received his PhD in Computational Science and Engineering from MIT, where he was supervised by Prof. Karen Willcox.
He holds a Bachelor of Engineering from the University of Auckland, and an SM in Aeronautics and Astronautics from MIT. Michael’s research focuses on developing the mathematical foundations and computational algorithms necessary to enable predictive digital twins at scale.
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