Yimeng Dong

Papers

Total Citations

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About

Yimeng Dong is a researcher specializing in cybersecurity and control systems for bilateral teleoperation, with a particular focus on the vulnerabilities and resilience of human-robot interaction frameworks. His work sits at the critical intersection of robotics, control theory, and network security, addressing real-world challenges that arise when master and slave robotic systems communicate across potentially compromised networks. Dong's most influential contribution, "False Data Injection Attacks in Bilateral Teleoperation Systems" (2019), has garnered 46 citations and stands as a landmark study exposing how attackers can destabilize teleoperation systems by corrupting exchanged state data between robots. This work has significant implications for safety-critical applications in telemedicine, remote manufacturing, and hazardous environment operations. Complementing this, his earlier investigation into content modification attacks (2016) laid foundational groundwork for understanding teleoperation vulnerabilities. Beyond cybersecurity, Dong has made notable contributions to robust control design. His 2018 work on passivity-based bilateral tele-driving introduced adaptive control algorithms capable of maintaining haptic feedback and stability despite communication delays and parametric uncertainties — a technically sophisticated achievement with practical relevance to autonomous and remotely operated vehicles. Collectively, his research advances both the security and reliability of next-generation robotic teleoperation systems.