Her research involves combining probabilistic graphical modeling and deep learning to design models that are expressive and powerful enough to capture meaningful representations of high-dimensional structured data.
Goel is one of three speakers chosen to present their work this fall at the University of Maryland as part of the Rising Stars in Machine Learning initiative.
The researchers looked at eight years of active outage measurements that were collected across the bulk of the last-mile internet infrastructure in the U.S.