Khushbu Agarwal is a Senior Research Scientist in the Data Sciences and Machine Intelligence group at the Pacific Northwest National Laboratory. Her primary research interests are at the intersection of graph analytics, deep learning, and their applications to solving real-world application needs. She has extensive experience working on scalable graph algorithms, knowledge bases, and streaming data analytics, winning an R&D 100 award in 2018. Her research has been applied to several domains including cybersecurity and medical informatics.
Many important application data streams can be modeled as a complex graph of entities, where each graph node or entity is associated with a multi-variate time-series. The overall system’s behavior is modeled as a dynamical system, and it evolves through structural changes in the graph, and/or...