Daniel Voce

Papers

Total Citations

H-Index

About

Daniel Voce is a researcher focused on the security and resilience of autonomous systems, with a particular emphasis on coordinated vehicle networks. His most cited work, "Security and Resiliency of Coordinated Autonomous Vehicles" (2019), introduces a novel trust algorithm that quantifies agent reliability within these networks by leveraging historical performance data. This contribution addresses critical vulnerabilities in multi-agent systems, enhancing their robustness against malicious interference or failures. While his citation count is modest, Voce’s work is foundational for emerging fields like smart transportation and swarm robotics, where trust-based coordination is essential. His research bridges cybersecurity and autonomous control, offering practical solutions for real-world deployment. Voce’s achievements include pioneering a framework that balances security with operational efficiency, a challenge often overlooked in autonomous vehicle design. His insights are particularly valuable for students and researchers exploring resilient AI systems, as they provide a clear pathway for integrating trust metrics into networked autonomous agents.