Anu Narayanan is associate director of the Forces and Logistics Program within RAND Arroyo Center, a senior engineer at the RAND Corporation, and professor of policy analysis at the Pardee RAND Graduate School. Her research focuses on the intersection of critical infrastructure and national security. She has led or conducted studies for the Department of the Air Force, the Office of the Secretary of Defense, the Department of Homeland Security, and the Department of Energy on a range of topics including installation resilience to natural hazards and climate change, cybersecurity of the electric power grid, mission assurance, strategic basing, data analytics for critical infrastructure risk management, and disaster response and recovery. Narayanan holds a Ph.D. in engineering and public policy from Carnegie Mellon University
Selected Publications
, Grounded: An Enterprise-Wide Look at Department of the Air Force Installation Exposure to Natural Hazards: Implications for Infrastructure Investment Decisionmaking and Continuity of Operations Planning, (RR-A523-1), 2021
, Deterring Attacks Against the Power Grid: Two Approaches for the U.S. Department of Defense, (RR-3187-RC), 2020
, "From Awareness to Action: Accounting for Infrastructure Interdependencies in Disaster Response and Recovery Planning," GeoHealth, 4(8), 2020
Narayanan et al., Valuing Air Force Electric Power Resilience: A Framework for Mission-Level Investment Prioritization, RAND Corporation (RR-2771-AF), 2019
Narayanan et al., Air Force Installation Energy Assurance: An Assessment Framework, RAND Corporation (RR-2066-AF), 2017
Narayanan et al., Characterizing National Exposures to Infrastructure from Natural Disasters: Data and Methods Documentation, RAND Corporation (RR-1453/1-DHS), 2016
Narayanan et al., A Modeling Framework for Optimizing F-35A Strategic Basing Decisions to Meet Training Requirements, RAND Corporation (RR-1546-AF), 2016
Anu Narayanan and M. Granger Morgan, "Sustaining Critical Social Services During Extended Regional Power Blackouts," Risk Analysis, 32, 2012