Linan Huang
Papers
2
Total Citations
36
H-Index
2
About
Linan Huang is a researcher specializing in game theory, autonomous systems, and multi-agent decision-making, with a particular focus on the intersection of deception, security, and intelligent robotics. Her most recognized contribution, "A Dynamic Game Framework for Rational and Persistent Robot Deception With an Application to Deceptive Pursuit-Evasion" (2021), has garnered 34 citations and represents a significant advance in understanding how intelligent agents can strategically deceive one another in high-stakes scenarios. By modeling deceptive behavior through N-person, multi-stage nonzero-sum games with asymmetric information structures, Huang provides a mathematically rigorous foundation for analyzing robot interactions where private information plays a critical role. Her earlier work, "Dynamic Games of Asymmetric Information for Deceptive Autonomous Vehicles" (2019), laid important groundwork by extending these frameworks specifically to autonomous vehicle contexts, addressing pressing challenges in operational security and efficiency. Huang's research is notable for bridging abstract game-theoretic principles with real-world robotic applications, offering tools that could meaningfully improve how autonomous systems navigate adversarial environments. Her growing citation record reflects an emerging influence in the fields of autonomous systems security and multi-agent game theory.
Research Focus
Key Achievements
Top Papers
- 1
- 2