Daniel E. Quevedo

Queensland University of Technology, University of Newcastle Australia

Papers

Total Citations

140

H-Index

About

Daniel E. Quevedo is a prominent control systems researcher whose work sits at the intersection of networked control, cyber-security, and distributed computing. His research addresses the increasingly critical challenge of designing reliable and secure control systems in an era of ubiquitous cloud and distributed computing, with applications spanning smart grids, building automation, robot swarms, and intelligent transportation systems. Quevedo's most influential contribution is his pioneering work on encrypted control for networked systems, which has garnered 123 citations since 2021 and represents a significant advance in protecting cloud-based control infrastructures from privacy and security vulnerabilities. By demonstrating how cryptographic techniques can be integrated into control loops without sacrificing performance, he has opened a compelling new research frontier that bridges control theory and cybersecurity. His earlier contributions to networked control systems (NCS) — architectures where spatially distributed sensors, actuators, and controllers communicate over shared networks — laid important groundwork for understanding the challenges of closed-loop control over unreliable channels. More recently, his editorial role in a special issue on networked and distributed robotics underscores his sustained influence in shaping emerging research directions. Quevedo's body of work makes him an essential reference for researchers navigating the evolving landscape of secure, networked, and distributed control systems.