Dr. Chuanyi Ji is the associate professor of engineering at the Georgia Institute of Technology. Her research lies in both basic and applied areas of networking and machine learning. Ji's research interests include: investigating fundamental properties and deriving engineering solutions for modeling and managing heterogeneous large networks; developing learning algorithms and their applications in networks; and seeking knowledge and insights from large-scale network data. Scott C. Ganz is an associate teaching professor of strategy at Georgetown MSB and a research fellow in economic policy studies at the American Enterprise Institute. His research focuses on how organizations learn and, specifically, how organizational politics, hierarchy and the design of decision-making institutions impact information aggregation, organizational adaptation and organizational performance. Ganz also writes on public policy topics including business policy, healthcare policy, environmental policy, tax policy and housing policy. The motivation and common goal of his work is to get better information into the policy process so that decision makers can make better decisions.
Research she has been involved with includes resilience of the energy grid and communication networks, proactive anomaly detection, scalability of measurement-based network monitoring, and performance and efficiency issues of learning algorithms.