Ian Gray
Papers
2
Total Citations
27
H-Index
2
About
Ian Gray’s research sits at the intersection of real-time embedded systems, mixed-criticality computing, and swarm robotics—fields where reliability, timing predictability, and hardware-software co-design are paramount. His most cited work, “MSRP-FT: Reliable Resource Sharing on Multiprocessor Mixed-Criticality Systems” (2022, 17 citations), tackles a fundamental challenge in safety-critical domains like autonomous vehicles, spacecraft, and industrial automation: how to share hardware resources across tasks of varying criticality without compromising timing guarantees. Gray’s contribution here is a novel resource-sharing protocol that preserves fault tolerance while maintaining real-time schedulability—a critical step toward certifying complex, high-performance systems. Beyond this, his work on the Pi-puck ecosystem (2020, 10 citations) demonstrates his versatility, providing an open-source hardware and software platform that extends the popular e-puck and e-puck2 robots for education and research in swarm intelligence. This ecosystem has been adopted by multiple labs worldwide, enabling reproducible experiments in collective behavior. Gray’s impact lies in bridging rigorous theoretical guarantees with practical, deployable systems—making his research equally relevant to academics designing schedulability analyses and engineers building next-generation autonomous platforms.
Research Focus
Key Achievements
Top Papers
- 1
- 2