The Office of Naval Research awarded Dr. Jie Zhang $808,762 for his research on Learning on Graphs for Resilience Decision-Support in Real-World Networks.

This project is to develop a unified “learning on graphs” framework that enables generation of robust, scalable, and generalizable combinatorial policies over graphs, to support real-time decision-making for recovery of disrupted real-world networks. The following integrative research activities will be performed: 1) abstraction of topological descriptors of graphs; 2) integrated Artificial Intelligence (AI) framework with graph convolutional networks, reinforcement learning and topological inputs/outputs, to generate network reconfiguration and restoration policies; and 3) training and evaluation setup/process on grid resiliency problems.