Team for Research in
Ubiquitous Secure Technology


photo of Galina A. Schwartz
Galina A. Schwartz
    University of California, Berkeley

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Bio:  Dr. Schwartz serves as Chief Economist for the FORCES Project. She is affiliated with the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, and also engaged with Network Economics Group and TRUST Center. Dr. Schwartz???s primary expertise is game theory and microeconomics. She investigates the robustness of cyber-physical systems (CPS) by integrating the resilient control and game theory to account for economic incentives. She studies the resilience of large-scale CPS which directly interface with humans (such as energy, transportation, and communications infrastructures), with the emphasis on survivability in uncertain and adversarial conditions. She develops the tools for benchmarking security risks to cyber-physical systems, and is interested in game theoretic analysis of interactions between humans and smart machines. Dr. Schwartz authored papers in numerous economic and engineering journals. Recently she published on the subjects of smart grid privacy and security; probabilistic demand response mechanisms for smart networked infrastructures; network neutrality; residual cyber risks management; and obstacles to growth of informative cyber-insurance markets. In her earlier research, she addressed corporate governance and incentive effects of regulations. She applied contract theory to study ownership structures and contractual costs of multinational corporations, and analyzed the role of bureaucracies in environments with high transaction costs, focusing on connotations for economic development. Dr. Schwartz has been on the faculty in the Ross School of Business at the University of Michigan, Ann-Arbor, and has taught at Economics Departments at the University of California, Davis and Berkeley. Dr. Schwartz received her MS in mathematical physics from Moscow Institute of Engineering Physics (Russia), and Ph.D. in economics from Princeton University in 2000.