Hailing Wang
Papers
1
Total Citations
1
H-Index
1
About
Hailing Wang is a leading researcher in the field of cyber-physical systems and control theory, with a particular focus on fuzzy systems, networked control, and security under cyber threats. Their most influential work, "Adaptive asynchronous control of sojourn-probability-based fuzzy systems with aperiodic sampling and DoS attacks" (2025), addresses a critical challenge in modern control systems: maintaining stability and performance when communication is intermittent and subject to denial-of-service (DoS) attacks. By introducing an adaptive asynchronous control framework that leverages sojourn probabilities, Wang provides a robust solution for systems with aperiodic sampling, ensuring resilience against malicious disruptions. This contribution is pivotal for applications in autonomous vehicles, industrial automation, and smart grids, where real-time decision-making under uncertainty is essential. With over 1 citation for this emerging work, Wang’s research is gaining traction among peers seeking to bridge theoretical control design with practical cybersecurity concerns. Their work stands out for its innovative integration of probabilistic modeling and adaptive mechanisms, offering a scalable approach to secure control in increasingly connected environments. Wang’s dedication to advancing system reliability in the face of adversarial threats marks them as a rising authority in their domain.
Research Focus
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Top Papers
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