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Fei Fang

Computer Science

Carnegie Mellon University

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About Fei Fang at Carnegie Mellon University (CMU)

Fei Fang is a prominent academic figure at Carnegie Mellon University, where they contribute to the Computer Science through intensive research in reinforcement learning, robotics, infrastructure resilience, vibration control, rheological fluids, multi-agent systems, AI ethics, risk prediction. A representative example of their recent contribution is the study titled "Teamwork Makes the Defense Work: Comprehensive Vulnerability Defense Resource Allocation", which offers critical insights into the dynamics of reinforcement learning and robotics. Additional work such as ""A Game of Thrones": When Human Behavior Models Compete in Repeated Stackelberg Security Games" further demonstrates their commitment to advancing knowledge in this domain.

Research Areas

reinforcement learningroboticsinfrastructure resiliencevibration controlrheological fluidsmulti-agent systemsAI ethicsrisk prediction
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Academic Impact Matrix

Research output metrics for Fei Fang aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Publications4

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