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.
Toward a Self-Aware UAV: Predictive digital twins via reduced-order models and interpretable machine learning This post introduces my PhD work developing a predictive digital twin of an unmanned aerial vehicle (UAV). I presented this work at the AIAA Scitech conference in January 2020, where our paper was
Digital Twins: Where Data, Mathematics, Models, and Decisions Collide Prof. Karen Willcox and I authored a piece for SIAM News about our perspectives and recent work on digital twins. Here is a short excerpt from the article: "The early successes of
Successful PhD Thesis Defense! On May 6, 2021 I successfully defended my doctoral thesis entitled Mathematical and Computational Foundations to Enable Predictive Digital Twins at Scale. You can find a copy of my full PhD Thesis here,
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
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
In the Media: Developing a Digital Twin My PhD work was featured in an article at the Oden Institute for Computational Engineering and Sciences. The article is beautifully written and provides a great introduction to my research! "In the
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
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
Project: Implementing and testing geometric control on the Intel Aero Drone This post showcases a class project I completed for MIT course 16.S398: Visual Navigation for Autonomous Vehicles (VNAV) in Fall 2018, taught by Prof. Luca Carlone. This was a really fun project,
Development of an adaptive-pitch wave energy turbine In 2014/15 I undertook a 3 month research internship at the Okinawa Institute of Science and Technology (OIST). During this time I worked under Professor Tsumoru Shintake on the early stages of
