Stephen Kruzick

Carnegie Mellon University

Papers

1

Total Citations

18

H-Index

1

About

Stephen Kruzick is a researcher whose work lies at the intersection of control theory, network science, and optimization, with a focus on designing efficient and resilient distributed systems. His most-cited paper, "Structurally Observable Distributed Networks of Agents Under Cost and Robustness Constraints" (2017, 18 citations), addresses a fundamental challenge in networked control: how to infer the state of every agent in a large-scale system by observing only a small subset of them. Kruzick’s contributions provide rigorous frameworks for selecting which agents to probe—balancing cost, observability, and robustness—enabling applications from environmental field reconstruction to multi-agent coordination. His work is notable for bridging structural observability theory with practical constraints, offering tools to design networks that remain functional even under failures or limited communication. While his citation count reflects a focused, emerging impact, Kruzick’s research is highly valued by peers working on scalable control and sensor placement, making him a key voice in the push toward smarter, more autonomous distributed networks.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Structurally Observable Distributed Networks of Agents Under Cost and Robustness Constraints
18 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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