Reece Ronquillo
Papers
1
Total Citations
3
H-Index
1
About
Reece Ronquillo is a researcher working at the intersection of network science, bioinspired systems, and multi-agent team coordination. His work explores how principles from neuroscience and network analysis can be applied to design more effective configurations for heterogeneous teams of human and autonomous entities. In his most cited paper, "Network analyses for bioinspired configurations of human and multiple entity teams" (2020, 3 citations), Ronquillo investigates how communication lines can be structured to optimize information transfer from deployed remote sensor systems in multi-domain operations. This contribution addresses the critical challenge of designing deployable, heterogeneous sensor networks that can adapt and function cohesively in complex operational environments. By drawing on bioinspired configurations, his research offers a novel framework for improving coordination and resilience in human-machine teams. While his citation count is still emerging, Ronquillo’s work is notable for its interdisciplinary approach—bridging neuroscience, network theory, and systems engineering—to solve real-world problems in defense and autonomous systems. His research holds promise for advancing the design of scalable, intelligent multi-entity teams.
Research Focus
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Top Papers
- 1