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 Interpretable Machine Learning" in the Dynamic Data-driven Application Systems (DDDAS) mini-track.

In this talk, I discussed our research on combining physics-based models and interpretable machine learning techniques in order to automatically discover and implement goal-oriented sensing strategies. Details of my presentation, as well as a link to the presentation slides, is given below.