Publications A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale We have proposed a unifying mathematical foundation for digital twins, with the goal of moving from the one-off digital twin to accessible and robust digital twin implementations at scale.
Presentations From Physics-based Models to Predictive Digital Twins via Interpretable Machine Learning (INFORMS 2020 Presentation) This week (November 7 - 13, 2020) I attended the 2020 INFORMS annual meeting. I was pleased to be invited to present a talk entitled "From Physics-based Models to Predictive Digital Twins via
Presentations A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins (DDDAS/InfoSymbiotics 2020) This week (October 2-4, 2020), I attended the third international conference on Dynamic Data-driven Application Systems (DDDAS). Recorded presentations and abstracts can be found on the conference website, while papers can be found
Presentations Predictive Data Science for Physical Systems (SC19 Presentation) Prof. Karen Willcox (my PhD advisor) gave an invited talk at SC19, entitled "Predictive Data Science for Physical Systems: From Model Reduction to Scientific Machine Learning". This talk offers a great high-level overview
Presentations Toward a Self-Aware Aircraft: Data-Driven Decisions, Adaptive Reduced Models, and Digital Twins (USNCCM 2019 Presentation) This week (July 28 - August 1, 2019) I attended the 15th US National Congress on Computational Mechanics (USNCCM) in Austin, TX. I was pleased to be invited to present a talk entitled
