Title:
Mathematical and Computational Foundations for Predictive Digital Twins at Scale
Abstract:
Digital twins represent the next frontier in the impact of computational science on grand challenges across science, technology and society. A digital twin is a computational model or set of coupled models that evolves over time to persistently represent the structure, behavior, and context of a unique physical system, process, or biological entity. Bidirectional interaction between the physical system and its virtual counterpart is central to the digital twin concept. This talk will highlight progress and opportunities in achieving robust, reliable digital twins at scale, including the important role of a DDDAS-based dynamic feedback loop together with graphical models, reduced-order modeling, scientific machine learning, and uncertainty quantification.
Bio-Overview:
Karen E. Willcox, PhD, is Director of the Oden Institute for Computational Engineering and Sciences, Associate Vice President for Research, and Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. She is also External Professor at the Santa Fe Institute. Before joining the Oden Institute in 2018, she spent 17 years as a professor at the Massachusetts Institute of Technology, where she served as the founding Co-Director of the MIT Center for Computational Engineering and the Associate Head of the MIT Department of Aeronautics and Astronautics. Prior to joining the MIT faculty, she worked at Boeing Phantom Works with the Blended-Wing-Body aircraft design group. She is a Fellow of the Society for Industrial and Applied Mathematics (SIAM), Fellow of the American Institute of Aeronautics and Astronautics (AIAA), Fellow of the US Association for Computational Mechanics (USACM), and member of the National Academy of Engineering (NAE). She was the recipient of the 2023 J.T. Oden Medal and the 2024 Theodore von Karman Prize. Prof. Willcox Chaired the National Academies Committee for the (2024) Study on Foundational Research Gaps and Future Directions for Digital Twins.
The Video Recording can be accessed here.
The Presentation Slides can be accessed here.