Dr. Jun Zhuang
Methodology: Game Theory; Operations Research; Decision and Risk Analysis; Stochastic Dynamic Programming
Applications: Homeland Security; Computer Network Security; Transportation; Supply Chain Risk Management
Summary of Recent Relevant Research:
Traditional risk analysis generally neglects the fact that terrorists are intelligent and adaptive, while most homeland-security games developed so far unrealistically assume that all players are fully strategic. In a recent sponsored project “Homeland-Security Games with Non-strategic Players,” Dr. Zhuang and his research team developed methods and techniques for identifying optimal strategies for rational defenders when facing non-strategic (irrational and/or behaviorally realistic) players, making it possible to explore the sensitivity of optimal defender strategies to assumptions about the behavior of other players. This research makes game-theoretic homeland-security models more realistic and implementable.